MACHINE LEARNING APPROACH FOR KHARIF RICE YIELD PREDICTION INTEGRATING MULTI-TEMPORAL VEGETATION INDICES AND WEATHER AND NON-WEATHER VARIABLES

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1. Oil palm yield prediction across blocks from multi-source data using machine learning and deep learning Y. Ang et al.
2. Crop Types Discrimination and Yield Prediction Using Sentinel-2 Data and AquaCrop Model in Hazaribagh District, Jharkhand B. Parida et al.
3. Forecasting El Niño and La Niña events using decision tree classifier K. Silva et al.
4. Rapid Rice Yield Estimation Using Integrated Remote Sensing and Meteorological Data and Machine Learning M. Islam et al.
5. Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods D. De Clercq & A. Mahdi