{"id":88931,"date":"2020-10-14T15:21:40","date_gmt":"2020-10-14T12:21:40","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/alphabet-x-has-built-a-plant-buggy-a-cute-lil-ai-farmer\/"},"modified":"2020-10-14T15:21:40","modified_gmt":"2020-10-14T12:21:40","slug":"alphabet-x-has-built-a-plant-buggy-a-cute-lil-ai-farmer","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/alphabet-x-has-built-a-plant-buggy-a-cute-lil-ai-farmer\/","title":{"rendered":"#Alphabet X has built a \u2018plant buggy\u2019 \u2014 a cute lil\u2019 AI farmer"},"content":{"rendered":"

“#Alphabet X has built a \u2018plant buggy\u2019 \u2014 a cute lil\u2019 AI farmer<\/strong>”<\/p>\n

\n Alphabet\u2018s X lab has unveiled its latest moonshot project: a crop-inspecting robot named the \u201cplant buggy.\u201d<\/p>\n

The solar-powered prototype roams autonomously through fields, using GPS software to identify the location of plants. When it finds them, it uses\u00a0cameras and machine perception tools\u00a0to study their traits and any issues in the field.<\/p>\n

The\u00a0cart combines data collected from the field, such as plant height and fruit size, with environmental factors including weather forecasts and soil information. This is all analyzed by machine learning to evaluate how the crops are growing and interacting with their surroundings.<\/p>\n

Alphabet says<\/a>\u00a0the buggy can help farmers treat individual plants and predict how different crops will respond to their environments. They could use the insights to spot diseases before they ruin a whole crop or to predict the size and yield of a harvest.<\/p>\n

[IBM announces Call for Code 2020 grand prize winner]<\/em><\/p>\n

The buggy has been tested in strawberry fields in California and soybean fields in Illinois.\u00a0<\/span>I<\/span>t\u2019s already analyzed the life cycles of a range of crops, including melons, berries, lettuce, oilseeds, oats, and barley.<\/span><\/p>\n

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<\/a>Alphabet says the system has evolved during testing in the field.<\/figcaption><\/figure>\n

The device is part of an X project called Mineral, which was\u00a0formed to develop \u201ccomputational agriculture\u201d that analyzes information about the plant world to help make\u00a0farming more\u00a0sustainable.<\/p>\n

With\u00a0farming workforces rapidly aging<\/a> and climate change affecting crop yields<\/a> in ways that can be hard to anticipate, such AI initiatives could play a key role in securing future food supplies.<\/p>\n

\n Published October 14, 2020 \u2014 12:21 UTC\n <\/p>\n<\/p><\/div>\n