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    Managing Crop Stress with Machine Learning, UAVs, and Hyperspectral Imaging

    Article obtained from Photonics RSS Feed.

    Iowa State University scientists are developing a machine learning system that could automate farmers’ ability to diagnose a range of major stressors in soybeans. The technology will use cameras attached to unmanned aerial vehicles (UAVs) to gather bird’s-eye images of soybean fields. A computer application will automatically analyze the images and alert the farmer of trouble spots.

    The project began with an app created at the university by an interdisciplinary team of engineers and plant scientists. The app allowed smartphone users to take pictures of soybean plants to determine if the plants suffered from iron deficiency. It required photos to be taken manually and was able to diagnose only one stressor. The algorithms…

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    Oct, 01 2019 |

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