The ACID revolution
summary
Project in Andhra Pradesh combines 45 years of historical crop, soil and rainfall data with weather forecasts, SQL servers and web jobs on the Azure Cloud calling a machine learning service to generate SMS recommendations for 175 farmers. Recommendations cover when to till, sow, irrigate and fertilize; farmers who follow them see yields 2–55% higher (about 30% average increase). A separate Microsoft urban hydroponic setup uses sensors streaming to Azure to detect anomalies and adjust growing conditions in real time.
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chapters (6)
- 0:00The evolution of farming
- 1:01Key stages of crop growth
- 2:20Challenges in rainfed agriculture
- 3:28Data-driven farming solutions
- 5:28Case study in Andhra Pradesh
- 10:26Future of urban farming
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