IoT Based Agricultural Business Model for Estimating Crop Health Management to Reduce Farmer Distress Using SVM and Machine Learning

Abstract

Agriculture and farming is the backbone of the society which serves the basic needs of the human livelihood. Indian climate is always favorable for growing crops and providing agricultural platform. Though agriculture is one of the most prime fields to engage the workforce still, it lacks adequate technological support for improvement of the crop quality and build a healthy nation. The major concern related to agriculture and economy to any country is that there is a huge gap of financial gain for the farmers and the outside market. It makes the farmers incapable to estimate the inflation rates and finally leads them to distress. The proposed work deals with the above said drawback by implementing an agricultural business model which facilitates the farmers to know their crop and the market better. The farmers can grow and cultivate crops according to the market demands thus leading to a good financial prospect and lesser loss. This proposal also deals with monitoring the crop health condition during its growth period to give a clear understanding of the crop quality that can be delivered to the market. Both of the proposed methods helps the farmer to estimate and precalculate the financial investments and gains and plan the budget in a managed way. The health condition of the crop is summarized with the help of image processing and SVM. The parameters to check the health condition of the crops can be incorporated with Internet of things (IoT) and sensor networks, so that the farmers can monitor their crop conditions with ease.