Affiliation:
1. G. H. Raisoni College of Engineering and Management, Wagholi, Maharashtra, India
Abstract
Forecasting crop yield prediction is an very important decision support tool. Crop yield prediction is the process of using data and technology to estimate how much agricultural produce, such as crops, will be harvested in a specific area for a given period. This involves analyzing various factors like weather patterns, soil quality, historical data, and farming practices to make educated guesses about the future harvest. It helps farmers, policymakers, and food supply chain stakeholders make informed decisions regarding planting, resource allocation, and food security. Essentially, it's like forecasting the future of crop production to ensure efficient and sustainable agriculture.
Forecasting crop yield is a complex and vital endeavor in modern agriculture, aiming to foresee the quantity of crops that will be harvested in a specific area during a particular growing season. This process relies on a synergy of data-driven analysis, technological advancements, and the integration of various factors that influence crop growth and productivity. In essence, it involves the art and science of anticipating nature's bounty, allowing us to make informed decisions, enhance food security, and optimize resource allocation.