A Study on Comparative Analysis of Machine Learning Models For Melon Growth Prediction

Abstract

Problems with sustainable farming have been intensified in recent years due to the substantial influence of climate
change and environmental degradation on agricultural production. Precise growth prediction models are essential for
ensuring appropriate production methods of melons (Cucumis melo L.), a highly valuable crop that is especially
susceptible to environmental influences