CLEVER FARMING WITH CROPS DISEASE DETECTION SYSTEM USING IOT AND ML

Abstract

Agriculture is the backbone of our country. Almost about 40% of annual global food supply loss is due to plant diseases. In developing countries, farmers generate 80% of agricultural products. For them, the loss of crops has a devastating consequence. Sometimes farmers lost 100% of crops due to some plant disease or illness. This makes crop illness a major threat to food security around the world. Identification of crop disease might be challenging due to the lack of lab infrastructure. Many IOT based manufacturing industries play an important role in the economic development of smart agriculture. Smart agriculture can include effective use of rain water, detection, and prevention of crops illness, detection and prevention of fire, prevention of animal intrusion in the field, etc by using different sensors and alarms. Crop disease is one of the most common problems which annoys farmers. So many times, farmers are not able to produce a good yield which results in less income for the farmer. This occurs due to various reasons like lack of minerals, soil humidity, changes in temperature, etc. Due to these parameters, illness in crops occurs which has an impact on product quality and quantity. IOT sensors can provide all necessary information to the farmers by properly monitoring the crops. Our goal is to create smart agriculture that utilizes the technologies like NodeMCU ESP8266, IOT, Android, WSN, and ML. The system monitors the temperature, humidity, wetness of the crops by using sensor NodeMCU ESP8266 and the farmer will receive a warning SMS on his smartphone using Wi-Fi. By using this proposed system farmers can easily detect the problemin the crop and this will help them to yield more healthy crops which will increase farmers' profit and food products in the country.