Digital Agriculture System for Crop Prediction & Disease Analysis Based on Machine Learning

  • Mrs. Shubhada P. Mone et al.

Abstract

Agriculture is the primary source of livelihood for about 58 per cent of Indias population and is the most crucial part of GDP. Indian farming is based on economic benefits from crop yields, but now days agricultural era has failed to proven best crop selection methods and to increase crop yield in all over India.  So, decrease in crop yield increases the problem in farmers financial health conditions. So, it becomes the most trending problem for our agricultural field to invent such noble method to recommend best suitable crop for a particular region. To achieve best suitable crop selection for regions based on parameters like soil conditions, rainfall and weather we have implemented machine learning approach. Secondary problem is lack of knowledge or absence of guidance while farming. Lack of guidance in Indian farmers may follow wrong farming techniques or inefficient traditional methods. Most of farmers are uneducated and non-technical backgrounds so they are relying on traditional crop selection and farming methods which falls them into economical loss. With the help of disease analysis system, we predict the crop disease prediction and suggest the precaution from those diseases. Last and most important problem is no proper market analysis while cultivation of any particular crop, which may also lead to an economical loss of farmers.

Published
2019-11-15
Section
Articles