DESIGN AND DEVELOPMENT OF IMAGE BASED PLANT LEAF DISEASE MONITORING SYSTEM USING DEEP LEARNING ALGORITHMS
B. SRIKANTH
*
Department of CSE, SRK Institute of Technology, Andhra Pradesh, India.
SRINIVASA RAO CHUNCHU
Department of CSE, R.V.R & J.C College of Engineering, Andhra Pradesh, India.
NAVEEN MUKKAPATI
Department of CSE, R.V.R & J.C College of Engineering, Andhra Pradesh, India.
N. SRIDEVI
College of Computer Studies, AMA International University, Kingdom of Bahrain, Bahrain.
KONDURU KRANTHI KUMAR
Department of IT, Gudlavalleru Engineering College, Andhra Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
The science and specialty of plant creation is farming. It is the fundamental improvement for the advancement of human existence. It makes food and related things through agribusiness with homegrown creatures and makes it workable for individuals to carry on with solid and long lives. There are two categories of agriculture, one of agriculture is traditional and the other of modern farming. Traditional farmers have been confronted with a lot of difficulties in the agricultural sector, but with modern farmers, the framing of agricultural products, the application of agricultural chemicals like pesticides and fertilisers as well as the cultivation of plants and technological growth can improve many of these enhancements in agricultural production. In any country economy, agriculture plays a vital role. Agriculture is the major part of households. Largely a good proportion of the total GDP is contributed by agriculture and offers good jobs in all countries. The detection of early malaise is vital to effective crop yields in agriculture. The plant standard in various pallets varies with bacterium, blight, septorial leaves and sinuate conditions in the yellow feed. Automatic disease classification strategies also help to discover plant disease symptoms. Farmers across the country are facing problems of untimely disease attacking on plants. It is good to provide a system for monitoring Plant Leaf Diseases, Monitoring includes Plant Leaf Disease identification, Classification, Prediction and Diagnosis. Deep Learning is one of the Trending approaches to Detect what it is mentioned above. The term infection implies the sort of harm to the plants. This venture gives the best strategy to location of plant infections utilizing picture preparing and showing the name of the sickness and insurances on the versatile use of the proprietor of the framework. It will diminish the expense needed for the pesticides and different items. This will prompt expansion in efficiency of the cultivating.
Keywords: Image, leaf disease, detection, convolutional, network, model