DEVELOPMENT OF PLANT SCANNER MODEL WITH IMAGE PROCESSING FOR SMART AGRO-MANAGEMENT

Abstract

Agricultural industry is one of the growing areas in the interdisciplinary management domain. With the modern technologies, agricultural management is turning in to smart farming. One of most prominent technology is image processing and internet of things which can be an evolutionary strategy for agricultural management. Plant and crop diseases are the key areas which hampers the overall yield. Hence, in this paper presents the plant disease identification model with image processing as a plant scanner system. The image processing can store, compare and analyze the type of infections and accordingly farmers and/or consultants can suggest the corrective actions.