In recent years, Agriculture sector has been researched a lot with the advancements in technologies like machine learning and smart computing. Agriculture is the pillar of the Indian economy and more than 50% of India's population are dependent on agriculture for their survival. Variations in weather, climate, and other such environmental conditions have become a major risk for the healthy existence of agriculture. Machine learning (ML) plays a significant role as it has decision support tool for Crop Yield Prediction (CYP) including supporting decisions on what crops to grow and what to do during the growing season of the crops. The major limitations of the Neural Network are reduction in the relative error and decreased prediction efficiency of Crop Yield.
Volume 17 | Issue 1
Pages: 96-100