Conference
Open access
2026
Hybrid Ensemble-LSTM Framework for Crop Yield Prediction Using Ground-Based Sensor Data
Using a machine learning architecture that integrates soil moisture dynamics, meteorological causes, and management approaches, the yields of tomatoes and turmeric are anticipated using a hybrid stacking model that included en- semble and LSTM.
A. B, P. S.
· ITM Web of Conferences · 0 citations