Vegetable Yield Prediction: A Review and Experimental Evaluation of Algorithms

Predicting yield at the regional level is crucial for developing agricultural policies and identifying effective strategies of marketing. Forecasting vegetable supply in a market helps sellers to set prices for the vegetables and decide which vegetable will be more profitable for them. Vegetable yield prediction, along with crops, is the center of attention of the researchers as agriculture is a significant part of the country’s GDP. In this paper, we have analyzed a few states of model of yield prediction and tried to experiment with these for predicting vegetable yields for some regions of India. We have studied the forecasting of vegetable supply based on rainfall amount, average temperature, and month of harvesting using these models. This analysis demonstrates that we need to contemplate this matter to improve efficiency in the agri-food supply chain.