AINeutralarXiv – CS AI · 18h ago6/10
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Crop Recommendation and Agricultural Query Answering System Using Spatio-Temporal Graph Neural Networks and Hybrid Retrieval Augmentation
Researchers developed an integrated agricultural system combining Spatio-Temporal Graph Convolutional Networks for weather forecasting, machine learning-based crop recommendations, and a retrieval-augmented generation chatbot to support precision farming in Nepal. The STGCN model achieved superior accuracy in 30-day weather predictions across 1,359 locations, enabling localized crop suggestions matched to soil properties and climate conditions.