{"id":12,"date":"2020-05-25T16:18:38","date_gmt":"2020-05-25T16:18:38","guid":{"rendered":"https:\/\/sites.unimi.it\/precision\/?page_id=12"},"modified":"2020-06-23T11:58:26","modified_gmt":"2020-06-23T11:58:26","slug":"the-new-umoma-opens-its-doors-2","status":"publish","type":"page","link":"https:\/\/sites.unimi.it\/precision\/","title":{"rendered":"Precision – PRecision crop protECtion: deep learnIng and data fuSION"},"content":{"rendered":"\n
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The Project<\/h2>\n<\/div><\/div>\n\n\n\n
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Crop protection products (i.e. pesticides) play a strategic role in securing worldwide food production. Nevertheless, major societal concerns are raised about risks for human health and environment which are being addressed by policy actions for reducing the dependence of agriculture on pesticides.<\/p>\n\n\n\n

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A primary contribution to this goal is expected to come from precision crop protection<\/span><\/strong>. In opposition to current uniform field treatments, precision protection is founded on the spatial modulation of treatments, tailored to site\/time-specific needs<\/span><\/em> of protecting the crop from pest pressure and expected spreading. <\/p>\n\n\n\n

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To be implemented, precision protection requires the detection of early stages of pest infections, as this enables selective treatments<\/em> <\/span>of initial foci, preventing epidemic spread to the whole field. Aim of this project is to combine advanced crop sensing technologies with state-of-the-art deep learning models in order to create the building blocks of an intelligent precision crop protection system.<\/p>\n<\/div><\/div>\n\n\n\n

Aims of the project<\/h6>\n\n\n\n