Enhancing Crop yield through recommendation system using Fuzzy Inference Model

Agriculture in India is one of the emerging sectors in new era of technology. Many researchers and scientists have shown interests and developments in the sector. Farmers solely depend upon the crop production and harvesting of a crop for their economic stability and financial independence. Due to lack of technological awareness the farmers are unable to select a modern method of harvesting rather they follow the similar traditional methodology for crop production. The environmental and climatic parameters are solely responsible for the crop prediction and manually the farmers find it difficult to analyze that which crop will yield more profit. Many of the farmers due to the lack of awareness choose the crops which yield less profit consequently which affects their financial stability. The paper helps to devise a method for the farmers which will help them to select the crops which has a higher crop yield and productivity depending upon the given climatic conditions. The technique used in the paper for devising the above method is Fuzzy Inference system. The dataset is collected for a past 10 years from the state of Rajasthan with a model accuracy of 91%.