Best Profitable Crops Prediction with Profit, Cost, and Farmland Optimization using Machine Learning

Abstract

Agriculture is the fundamental practice that sustains human life by cultivating plants for human consumption. That is why since ancient history every government has made its maximum effort to strengthen the Agriculture. But now Agriculture is facing several new challenges due to many reasons. Especially Production shortages, Climate change, Cost of production, Fluctuating Market prices, and Provincial/Regional conditions have influenced to the production of the farmers. In Sri Lanka when any crop gains profit in previous season, majority of farmers tent on to cultivate that crop in the next season. But that could result in an increase in the market supply causing a depletion the market price. But there should be a variety in selecting suitable crops in order to optimize profitability and crop rotation could be practiced optimizing yield potential. This research tries to predict the best crop for the Local and Export Market in Sri Lanka by Provincial/District/Regional wise to gain more profits using Machine Learning. This solution is designed to analyze the total profit by considering cost factors for production materials and employee wages. This facilitates farmers to identify suitable crops for local and export markets easily. Research elaborated on how the Machine Learning model should develop using special Algorithms for the prediction and classification of Data using many Statistical Concepts and Computational Algorithms. One of the most important and novel factors of this research is that it introduces a technique to optimize the land area of the farmer using predicted two crops. Because this research tries to encourage the farmers to gain a suitable and satisfactory income without affecting the market prices. Apart from the acquired profits, it could also be identified as a suitable solution for the supply chain issues in the Sri Lankan market. Furthermore, this research produces a profit maximization technique to enhance the Sri Lankan farmer's livelihood and economy.