Identification of Crop Health Condition Using IoT Based Automated System
Agriculture is the main source of living on earth. The food production is at risk due to the attack of pathogens, insect pests and weeds. Crop losses due to several harmful organisms can be more significant and must be prevented, or reduced, by taking several crop protection measures. To produce maximum yields, plants need to be healthy and strong from the start and carefully nurtured throughout the season. In this paper, an automated system has been developed to detect whether the crop is normal or diseased. This paper also aims to develop an automated system that detects the presence of a type of disease in the crops. An automated system is developed using different sensors like temperature, PIR, humidity and odour based on variation in crop health condition. The values getting from the different parameters based on temperature, humidity and odour are used to detect presence of crop disease. The main objective of this paper was to help crop thrive and stay healthy.