Crop Recommendation Using Machine Learning Algorithm

Agriculture is extremely important to India's economy and employment. The most common issue faced by Indian farmers is that farmers do not select the appropriate crop for their soil. As a result, productivity is harmed. Agriculture is the main source of income and the backbone of our economy. The poor crop selection has reduced crop production and food shortages across the country which resulted in an increase in farmer suicide. Farmers' problems have been handled by recommendation of suitable crop before sowing. To overcome these issues it is necessary to analyze the soil parameters. This proposed work presents the SVM algorithm based crop recommendation system for the formers. In this work, it is necessary to analyze the profit of the particular crop, which eliminates the loss for the farmers and increase the productivity. SVM algorithm is used for classification to classify the different parameters of the soil and predict the most suitable crop.The proposed algorithm is simulated in anaconda navigator to analyze the soil parameters and recommend a suitable crop. The SVM algorithm is considered for classification. To test the effectiveness of the proposed algorithm accuracy and confusion matrix are computed. © 2021 IEEE.