Author : Supriya Ghavate1 and Joshi H. U

Internet of Things (IoT)plays a crucial role in smart agriculture. Smart farming is an emerging concept, because IOT sensors capable of providing information about their agriculture elds. The project aims making use of evolving technology i.e. IOT and smart agriculture using automation. The proposed framework causes Farmer to enhance quality and amount of their farm yield by detecting surrounding temperature and moistness esteems, soil dampness esteem and water level of the tank from the eld with no human intercession. By utilizing the idea of IOT framework can be more effective. In proposed work, IoT and Machine Learning are both put to use together. Use of IoT by utilizing a NodeMCU microcontroller and sensors using CC3200 single chip to capture temperature, moistness in soil and invasion of animal to fields. As in for Artificial Intelligence indulgence, farmer capture the photo of infected plant with use of camera interfaced with CC3200 and upload the photo, thus with use of initial disease database, application of machine learning algorithm and python programming farmer can get to know disease caused to plant, information about disease as well solution to disease.

Keywords: IoT, Machine Learning, Image Processing, Smart Farming, Agriculture, Disease Image