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Hybrid Ensemble-LSTM Framework for Crop Yield Prediction Using Ground-Based Sensor Data

Horticultural crop production prediction prior to harvest is challenging due to a lack of ground-based data. Utilising a machine learning architecture that integrates soil moisture dynamics, meteorological causes, and management approaches, the yields of tomatoes and turmeric are anticipated. A thousand samples were...