Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 73
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]
Code Context


        trigger_error($message, E_USER_DEPRECATED);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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deprecationWarning - CORE/src/Core/functions.php, line 311
Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421
App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 73
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Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
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Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
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Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51
Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98

Deprecated (16384): The ArrayAccess methods will be removed in 4.0.0.Use getParam(), getData() and getQuery() instead. - /home/brlfuser/public_html/src/Controller/ArtileDetailController.php, line: 74
 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php. [CORE/src/Core/functions.php, line 311]
Code Context


        trigger_error($message, E_USER_DEPRECATED);

    }
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 You can disable deprecation warnings by setting `Error.errorLevel` to `E_ALL & ~E_USER_DEPRECATED` in your config/app.php.'
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deprecationWarning - CORE/src/Core/functions.php, line 311
Cake\Http\ServerRequest::offsetGet() - CORE/src/Http/ServerRequest.php, line 2421
App\Controller\ArtileDetailController::printArticle() - APP/Controller/ArtileDetailController.php, line 74
Cake\Controller\Controller::invokeAction() - CORE/src/Controller/Controller.php, line 610
Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 120
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\RoutingMiddleware::__invoke() - CORE/src/Routing/Middleware/RoutingMiddleware.php, line 162
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Routing\Middleware\AssetMiddleware::__invoke() - CORE/src/Routing/Middleware/AssetMiddleware.php, line 88
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Error\Middleware\ErrorHandlerMiddleware::__invoke() - CORE/src/Error/Middleware/ErrorHandlerMiddleware.php, line 96
Cake\Http\Runner::__invoke() - CORE/src/Http/Runner.php, line 65
Cake\Http\Runner::run() - CORE/src/Http/Runner.php, line 51
Cake\Http\Server::run() - CORE/src/Http/Server.php, line 98

Warning (512): Unable to emit headers. Headers sent in file=/home/brlfuser/public_html/vendor/cakephp/cakephp/src/Error/Debugger.php line=853 [CORE/src/Http/ResponseEmitter.php, line 48]
Code Context
            if (Configure::read('debug')) {

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    <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f05dfc9f976-trace').style.display = (document.getElementById('cakeErr67f05dfc9f976-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67f05dfc9f976-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f05dfc9f976-code').style.display = (document.getElementById('cakeErr67f05dfc9f976-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f05dfc9f976-context').style.display = (document.getElementById('cakeErr67f05dfc9f976-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67f05dfc9f976-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700">&lt;</span><span style="color: #0000BB">head</span><span style="color: #007700">&gt;
</span></span></code>
<span class="code-highlight"><code><span style="color: #000000">&nbsp;&nbsp;&nbsp;&nbsp;&lt;link&nbsp;rel="canonical"&nbsp;href="<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">);&nbsp;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">category</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">slug</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>/<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">seo_url</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>.html"/&gt;
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</span></span></code></pre><pre id="cakeErr67f05dfc9f976-context" class="cake-context" style="display: none;">$viewFile = &#039;/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp&#039;
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		&#039;description&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;
-The Hindu Business Line
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&amp;nbsp;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;
&lt;br /&gt;
Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;
&lt;br /&gt;
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;
&lt;br /&gt;
The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;
&lt;br /&gt;
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;
&lt;br /&gt;
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&amp;nbsp;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
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-The Hindu Business Line


&amp;nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...&#039;,
	&#039;disp&#039; =&gt; &#039;&lt;div align=&quot;justify&quot;&gt;-The Hindu Business Line&lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;&lt;br /&gt;Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;&lt;br /&gt;Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;&lt;br /&gt;&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;&lt;br /&gt;The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;&lt;br /&gt;Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;&lt;br /&gt;&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;&lt;br /&gt;The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. &lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;The Hindu Business Line, 9 June, 2016, please &lt;a href=&quot;http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece&quot; title=&quot;http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece&quot;&gt;click here&lt;/a&gt; to access &lt;br /&gt;&lt;/div&gt;&#039;,
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&lt;div align=&quot;justify&quot;&gt;
&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;
&lt;br /&gt;
Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;
&lt;br /&gt;
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;
&lt;br /&gt;
The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;
&lt;br /&gt;
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;
&lt;br /&gt;
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
&lt;/div&gt;
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&amp;nbsp;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
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-The Hindu Business Line


&amp;nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...&#039;
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-The Hindu Business Line


&nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting..."/>
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                <strong>Seed idea: this app tells farmers when to sow</strong></h1>
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                <div align="justify">-The Hindu Business Line</div><div align="justify">&nbsp;</div><div align="justify"><em>Icrisat-Microsoft develop solution that analyses massive data to predict the right time<br /><br />Hyderabad: </em>Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.<br /><br />Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.<br /><br />&ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).<br /><br />The institute used Microsoft&rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&rsquo;s Azure Cloud.<br /><br />Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.<br /><br />&ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&rdquo; said an Icrisat statement.<br /><br />The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. </div><div align="justify">&nbsp;</div><div align="justify">The Hindu Business Line, 9 June, 2016, please <a href="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece" title="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece">click here</a> to access <br /></div>               </font>
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    <link rel="canonical" href="https://im4change.in/<pre class="cake-error"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f05dfc9f976-trace').style.display = (document.getElementById('cakeErr67f05dfc9f976-trace').style.display == 'none' ? '' : 'none');"><b>Notice</b> (8)</a>: Undefined variable: urlPrefix [<b>APP/Template/Layout/printlayout.ctp</b>, line <b>8</b>]<div id="cakeErr67f05dfc9f976-trace" class="cake-stack-trace" style="display: none;"><a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f05dfc9f976-code').style.display = (document.getElementById('cakeErr67f05dfc9f976-code').style.display == 'none' ? '' : 'none')">Code</a> <a href="javascript:void(0);" onclick="document.getElementById('cakeErr67f05dfc9f976-context').style.display = (document.getElementById('cakeErr67f05dfc9f976-context').style.display == 'none' ? '' : 'none')">Context</a><pre id="cakeErr67f05dfc9f976-code" class="cake-code-dump" style="display: none;"><code><span style="color: #000000"><span style="color: #0000BB"></span><span style="color: #007700">&lt;</span><span style="color: #0000BB">head</span><span style="color: #007700">&gt;
</span></span></code>
<span class="code-highlight"><code><span style="color: #000000">&nbsp;&nbsp;&nbsp;&nbsp;&lt;link&nbsp;rel="canonical"&nbsp;href="<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">Configure</span><span style="color: #007700">::</span><span style="color: #0000BB">read</span><span style="color: #007700">(</span><span style="color: #DD0000">'SITE_URL'</span><span style="color: #007700">);&nbsp;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$urlPrefix</span><span style="color: #007700">;</span><span style="color: #0000BB">?&gt;&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">category</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">slug</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>/<span style="color: #0000BB">&lt;?php&nbsp;</span><span style="color: #007700">echo&nbsp;</span><span style="color: #0000BB">$article_current</span><span style="color: #007700">-&gt;</span><span style="color: #0000BB">seo_url</span><span style="color: #007700">;&nbsp;</span><span style="color: #0000BB">?&gt;</span>.html"/&gt;
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</span></span></code></pre><pre id="cakeErr67f05dfc9f976-context" class="cake-context" style="display: none;">$viewFile = &#039;/home/brlfuser/public_html/src/Template/Layout/printlayout.ctp&#039;
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-The Hindu Business Line
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&amp;nbsp;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;
&lt;br /&gt;
Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;
&lt;br /&gt;
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;
&lt;br /&gt;
The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;
&lt;br /&gt;
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;
&lt;br /&gt;
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&amp;nbsp;
&lt;/div&gt;
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-The Hindu Business Line


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Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...&#039;,
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&amp;nbsp;
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&lt;div align=&quot;justify&quot;&gt;
&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;
&lt;br /&gt;
Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;
&lt;br /&gt;
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;
&lt;br /&gt;
The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;
&lt;br /&gt;
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;
&lt;br /&gt;
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&amp;nbsp;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
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-The Hindu Business Line


&amp;nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...&#039;
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Cake\Http\ActionDispatcher::_invoke() - CORE/src/Http/ActionDispatcher.php, line 126
Cake\Http\ActionDispatcher::dispatch() - CORE/src/Http/ActionDispatcher.php, line 94
Cake\Http\BaseApplication::__invoke() - CORE/src/Http/BaseApplication.php, line 235
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-The Hindu Business Line


&nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting..."/>
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                <strong>Seed idea: this app tells farmers when to sow</strong></h1>
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                <div align="justify">-The Hindu Business Line</div><div align="justify">&nbsp;</div><div align="justify"><em>Icrisat-Microsoft develop solution that analyses massive data to predict the right time<br /><br />Hyderabad: </em>Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.<br /><br />Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.<br /><br />&ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).<br /><br />The institute used Microsoft&rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&rsquo;s Azure Cloud.<br /><br />Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.<br /><br />&ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&rdquo; said an Icrisat statement.<br /><br />The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. </div><div align="justify">&nbsp;</div><div align="justify">The Hindu Business Line, 9 June, 2016, please <a href="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece" title="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece">click here</a> to access <br /></div>               </font>
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</span></span></code>
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-The Hindu Business Line
&lt;/div&gt;
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&amp;nbsp;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;
&lt;br /&gt;
Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;
&lt;br /&gt;
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;
&lt;br /&gt;
The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;
&lt;br /&gt;
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;
&lt;br /&gt;
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
&lt;/div&gt;
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Icrisat-Microsoft develop solution that analyses massive data to predict the right time

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&amp;nbsp;
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&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;
&lt;br /&gt;
Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;
&lt;br /&gt;
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;
&lt;br /&gt;
The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;
&lt;br /&gt;
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;
&lt;br /&gt;
&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;
&lt;br /&gt;
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&lt;/div&gt;
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&amp;nbsp;
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-The Hindu Business Line


&amp;nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...&#039;
$disp = &#039;&lt;div align=&quot;justify&quot;&gt;-The Hindu Business Line&lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;&lt;em&gt;Icrisat-Microsoft develop solution that analyses massive data to predict the right time&lt;br /&gt;&lt;br /&gt;Hyderabad: &lt;/em&gt;Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.&lt;br /&gt;&lt;br /&gt;Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.&lt;br /&gt;&lt;br /&gt;&amp;ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&amp;rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).&lt;br /&gt;&lt;br /&gt;The institute used Microsoft&amp;rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&amp;rsquo;s Azure Cloud.&lt;br /&gt;&lt;br /&gt;Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.&lt;br /&gt;&lt;br /&gt;&amp;ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&amp;rdquo; said an Icrisat statement.&lt;br /&gt;&lt;br /&gt;The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. &lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;&amp;nbsp;&lt;/div&gt;&lt;div align=&quot;justify&quot;&gt;The Hindu Business Line, 9 June, 2016, please &lt;a href=&quot;http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece&quot; title=&quot;http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece&quot;&gt;click here&lt;/a&gt; to access &lt;br /&gt;&lt;/div&gt;&#039;
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-The Hindu Business Line


&nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting..."/>
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                <strong>Seed idea: this app tells farmers when to sow</strong></h1>
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                <div align="justify">-The Hindu Business Line</div><div align="justify">&nbsp;</div><div align="justify"><em>Icrisat-Microsoft develop solution that analyses massive data to predict the right time<br /><br />Hyderabad: </em>Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.<br /><br />Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.<br /><br />&ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).<br /><br />The institute used Microsoft&rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&rsquo;s Azure Cloud.<br /><br />Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.<br /><br />&ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&rdquo; said an Icrisat statement.<br /><br />The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. </div><div align="justify">&nbsp;</div><div align="justify">The Hindu Business Line, 9 June, 2016, please <a href="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece" title="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece">click here</a> to access <br /></div>               </font>
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-The Hindu Business Line
</div>
<div align="justify">
&nbsp;
</div>
<div align="justify">
<em>Icrisat-Microsoft develop solution that analyses massive data to predict the right time<br />
<br />
Hyderabad: </em>Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.<br />
<br />
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.<br />
<br />
&ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).<br />
<br />
The institute used Microsoft&rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&rsquo;s Azure Cloud.<br />
<br />
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.<br />
<br />
&ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&rdquo; said an Icrisat statement.<br />
<br />
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
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&nbsp;
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The Hindu Business Line, 9 June, 2016, please <a href="http://www.thehindubusinessline.com/economy/agri-business/seed-idea-this-app-tells-farmers-when-to-sow/article8710377.ece">click here</a> to access <br />
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-The Hindu Business Line


&nbsp;


Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...',
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-The Hindu Business Line
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&nbsp;
</div>
<div align="justify">
<em>Icrisat-Microsoft develop solution that analyses massive data to predict the right time<br />
<br />
Hyderabad: </em>Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village.<br />
<br />
Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers.<br />
<br />
&ldquo;The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,&rdquo; said Anil Bhansali, MD, Microsoft India (Research and Development).<br />
<br />
The institute used Microsoft&rsquo;s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft&rsquo;s Azure Cloud.<br />
<br />
Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu.<br />
<br />
&ldquo;The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,&rdquo; said an Icrisat statement.<br />
<br />
The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week. 
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&nbsp;
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-The Hindu Business Line


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Icrisat-Microsoft develop solution that analyses massive data to predict the right time

Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting...'
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Seed idea: this app tells farmers when to sow

-The Hindu Business Line   Icrisat-Microsoft develop solution that analyses massive data to predict the right time Hyderabad: Forget about weather SMSes or marketing tips to farmers over the phone. Now, an app-based solution can tell farmers when to sow their seeds. Sifting massive volumes of data, this app will help farmers in Andhra Pradesh to pick the perfect sowing week. The advice could vary from farmer to farmer and from village to village. Icrisat (International Crops Research Institute for Semi Arid Tropics) has teamed up with Microsoft and the Andhra Pradesh government to develop this solution. Icrisat expects the personalised Village Advisory Dashboard (the interface) will solve a key problem faced by the small farmers. “The Sowing App and Personalised Village Advisory Dashboard are developed to provide powerful cloud-based predictive analytics to farmers. This will help reduce crop failures,” said Anil Bhansali, MD, Microsoft India (Research and Development). The institute used Microsoft’s Cortana Intelligence Suite, including Machine Learning and Business Intelligence (BI) tools. It uploaded the data collected from farms in 13 districts to Microsoft’s Azure Cloud. Using Business Intelligence tools, the dashboard provides important insights into soil health, fertiliser recommendations, and a seven-day weather forecast in Telugu. “The sowing application deploys powerful artificial intelligence to interface with weather forecasting models provided by the USA-based aWhere Inc. It also factors in rainfall data collected over 45 years as well as 10 years of groundnut sowing progress data for Kurnool district,” said an Icrisat statement. The solution will analyse the data to provide predictable and usable data to farmers to pick the ideal sowing week.   The Hindu Business Line, 9 June, 2016, please click here to access