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SUSTAINABLE AGRICULTURE: A APPROACH FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING DCNN AND ENHANCED DATASETS
The Quality And Productivity Of Rice Crops Can Be Significantly Impacted By A Variety Of Diseases. For Effective Management And Higher Agricultural Productivity, Early Disease Detection And Classification Are Essential. The Primary Objectiv...
Classification of Plant Leaf Disease Using Machine Learning & Pre-Processing Techniques
Agriculture Is The Backbone Of The Indian Economy. In India Itself, Around 65% Of The Population Is Based On Agriculture. Due To Changes In Weather & Local Conditions, The Crops Get Infected & They Get Infected By Various Diseases Which Res...
COMPARISON STUDY OF VGG16 AND INCEPTIONV3 TRANSFER LEARNING MODELS FOR CLASSIFICATION OF PLANT LEAF DISEASE
Early Diagnosis Of Plant Diseases Carried Out By Professionals In Laboratory Trials Is Usually Not Suitable For Quick And Affordable Performance. Using Deep Learning, Leaf Images Are Used As Information Input. Training Deep Learning Models...
DEEP CONVOLUTION NEURAL NETWORK FOR CLASSIFYING CORN LEAF DISEASES FROM UNMANNED AERIAL VEHICLE
In The Agriculture Field, Plant Disease Diagnosis Is One Of The Leading Factors. Therefore, To Create An Automated System That May Identify Plant Disease Diagnosis As Simple As Possible. The Exact Identification Of Crop Diseases Is Exceptio...
A NOVEL APPROACH TO DETECT AND CLASSIFY LEAF DISEASES BASED ON IMAGE PROCESSING
In This Paper, Image Processing Techniques Are Used To Detect The Plant Leaf Diseases. The Objective Of This Work Is To Implement Image Analysis & Classification Techniques For Detection Of Leaf Diseases And Classification. The Proposed Fra...
DETECTION OF PLANT LEAF DISEASES
Images Form Important Data And Information In Biological Sciences. Automatic Detection Of Plant Diseases Is An Essential Research Topic As It May Prove Benefits In Monitoring Large Fields Of Crops, And Thus Automatically Detect The Symp...