CROP YIELD OPTIMIZATION AND PREDICTION BY MACHINE LEARNING ALGORITHMS

CROP YIELD OPTIMIZATION AND PREDICTION BY MACHINE LEARNING ALGORITHMS

ABSTRACT--Agriculture is one of the major and lowest paid occupations in India. Agriculture is that sector which plays an important role in improving the economy of our country. Machine learning can drive a boom in the agriculture sector by changing the income landscape through optimum crop growing. Farmers are growing the same crop over and over again without trying new verity of crops and they are applying fertilizer in random amount without knowing the small quantity and quantity. So, it is directly affecting the crop yield and causes acidification of soil and damages the top layer. Hence, we have designed the system using machine learning algorithms for the betterment of the farmers. This project will help the farmers to know the yield of their crop before taking up cultivation in the agriculture field and thus help them to take proper decision. Data mining is  useful for predicting crop yield production. Generally, data mining is the process of analyzing data from different perspectives and summarizing it into important information. This research proposes and implements a system to predict crop yield from past data. This paper present a brief analysis of crop yield prediction using machine learning techniques. The experimental results show that the proposed functions efficiently predict crop yield output.

KEYWORDS-Crop yield prediction, Machine

Learning, Data Mining, Random forest, Linear Regression and Logistics Regression algorithm.