Detection of Anthracnose Disease in Chili Using IOT and Field Data

Abstract

Internet of thing IoT introduced various opportunities for novel applications, which are utilized in agriculture and many more. In the world, Chilli is very significant plant due to its huge ingesting. Chilli has many medicinal properties and using in many foods in Pakistan. Anthracnose produced through Colletotrichum spp. consumes stayed one of the greatest vital viruses of Chilli and in worldwide which can cause in crop victims of up to 50%. Chilli can also decrease the danger of tumor by avoiding chemicals from mandatory to chromosome and decrease calorie consumption through growing thermogenesis. Traditionally, the findings and usageof the insecticide are more frequently complete in the fields but this procedure is more time-intense, risky, and not accurate method in most of the time. The main focus of this effort is to grow a system to detect disease detection using internet of thing IoT on thebases of epidemiology of anthracnose disease in chill to Enhancement of production. Controller collect data from field sensors and send to cloud sever and use of k-nearest neighbor (KNN) classifier for analysis the accurate results. The research is very important in terms to increase the production of agriculture system in Pakistan. The system will identify the diseases in the earlier time and categorize anthracnose disease and send information to the farmers to safe their crops.