Pesticide Recommendation to Increase Production in Agriculture Using Machine Learning and IOT

Abstract

Agriculture might be portrayed as the generation, preparing, promoting and circulation of yields. It is the backbone of Indian economy. Since several decades the farmers are facing an issue in maintaining the crops and increasing the yield. The net yield is reduced due to natural calamities like floods, drought etc., crops infected by pests, over irrigation or reduced water supply for the crops, excessive usage of chemical fertilizers and various other reasons. Hence it is necessary to implement smart agricultural practices to minimize the crop loss. This can be implemented by using Wireless Sensor Networks used in Internet of Things (IoT). A system is proposed which recommends the pesticides to be added depending upon the pH, temperature, dampness of the soil and Humidity of the soil.