Sugarcane Crop Yield Forecasting Model Using Supervised Machine Learning
Objective
The main objective of the Sugarcane Crop Yield Forecasting Model using supervised machine learning is to accurately predict the future yield of sugarcane crops based on various input variables, such as weather conditions, soil parameters, and historical crop data. This model aims to assist farmers and stakeholders in making informed decisions regarding crop management, resource allocation, and market planning.
Paper Publishing
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