With our planet getting warmer and warmer, and carbon dioxide levels steadily creeping up, companies are using deep learning to help cope with the effects that climate change is having on their crops.
An article on MIT Technology Review highlights PEAT, a German company using CUDA, TITAN X GPUs and the cuDNN-accelerated Caffe deep learning framework to provide farmers with a plant disease and diagnostics management tool. Farmers are able to take a picture of their affected plants, upload it to PEAT’s “Plantix” mobile app and get treatment recommendations within seconds. The database currently contains information on 52 crops worldwide and the ability to detect 160 plant diseases, pests and nutrient deficiencies with 95% accuracy.
As mobile phones are now ubiquitous throughout the developing world, this solution provides the last-mile connectivity that farmers need to deal with the impact of a changing climate.
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Assisting Farmers with Artificial Intelligence
Jul 26, 2016
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AI-Generated Summary
- Companies are using deep learning to help mitigate the effects of climate change on their crops as the planet warms and carbon dioxide levels rise.
- PEAT, a German company, has developed a tool called Plantix that uses deep learning and NVIDIA GPUs to help farmers diagnose plant diseases and receive treatment recommendations.
- The Plantix mobile app can detect 160 plant diseases, pests, and nutrient deficiencies with 95% accuracy across 52 crops worldwide, providing crucial support to farmers.
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