際際滷shows by User: ErikAndrejko / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ErikAndrejko / Sun, 30 Mar 2014 22:45:33 GMT 際際滷Share feed for 際際滷shows by User: ErikAndrejko Deep Learning In Agriculture /slideshow/deep-learninginagriculture/32922907 deep-learning-in-agriculture-140330224533-phpapp01
A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.]]>
A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.]]> Sun, 30 Mar 2014 22:45:33 GMT /slideshow/deep-learninginagriculture/32922907 ErikAndrejko@slideshare.net(ErikAndrejko) Deep Learning In Agriculture ErikAndrejko A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/deep-learning-in-agriculture-140330224533-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A confluence of factors have converged to afford the opportunity to apply data science at large scale to agricultural production. The demand for agricultural outputs is growing and there is a need to meet this demand by utilizing increasingly mechanized precision agriculture and enormous data volumes collected to intelligently optimize agriculture outputs. We will consider the machine learning challenges related to optimizing global food production.
Deep Learning In Agriculture from Erik Andrejko
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