Author Description

Most of the people in India are dependent on agriculture. The growth of crops mainly relies upon climatic conditions, water quality, and soil moisture. In recent years, the crop yield has been decreased due to the occurrence of diseases because of variations in the climatic conditions. The proposed system uses the Internet of Things and machine learning techniques to predict plant disease. Climate and water data is obtained with the help of sensors and is sent to the ThingSpeak cloud and this data is extracted and utilized for predicting the plant disease.