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A. Supriyanto

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Open access Aug 2026

Temperature, Humidity, and Weather Prediction Using Random Forest and LSTM for Food Crop Cultivation Optimization in Tegal

The agricultural sector in the Tegal region faces uncertain climate fluctuations that directly impact food crop productivity. A crucial indicator for determining plant environmental comfort is the Temperature Humidity Index (THI). This research aims to develop a hybrid model capable of predicting and classifying future...

Sarwo Edi, A. Supriyanto · 0 citations

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