Dogiye12 / Agricultural-Yield-Forecasting-under-Climate-ChangeLinks
A synthetic machine learning pipeline for forecasting agricultural yields under climate change. It integrates climate, soil, management, and remote-sensing data, trains ensemble models, evaluates performance, and runs scenario analysis (+2 °C, −10% rainfall, +30 ppm CO₂) to assess future food security risks.
☆14Updated 3 weeks ago
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