"Some cassava farmers may not be able to tell one plant’s debilitating brown streak from another’s troubling brown leaf spot—but a smartphone-friendly AI can.
Wired reports that researchers have developed a lightweight image-recognition AI that can identify diseases in the cassava plant based on pictures of its leaves. That could be useful, because cassava is one of the most commonly eaten tubers on the planet, but is grown predominantly in developing countries where access to expertise to diagnose unusual crop problems may be limited."
Blogging on bureaucracy, organizations, USDA, agriculture programs, American history, the food movement, and other interests. Often contrarian, usually optimistic, sometimes didactic, occasionally funny, rarely wrong, always a nitpicker.
Tuesday, October 03, 2017
Automated Crop Appraisals?
Crop insurance relies on crop appraisers to sample an acreage of disaster-affected crops and project the reduction in yield which will occur. It looks as if automated intelligence may be on the way to assist in the job, if not eventually to replace appraisers. The first crop: cassava. From Technology Review:
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