Plant Disease Detection

Computer Engineering

Early Disease Detection and pets are important for better yield and quality of crops. With a Reduction in the Quality of Agricultural Products, Disease plants can lead to huge Economic Losses to Individual farmers. In a country like India whose major Population is involved in Agriculture, Finding the disease at an early stage is very important. Faster and more precise predictions of plant disease could help reduce the losses. The Significant advancement and developments in Deep Learning have given the opportunity to improve the performance and accuracy of detection of object and recognition systems. This Paper focuses on finding plant diseases and reducing economic losses. We have proposed a deep learning-based approach for image recognition. System Proposed in the paper can Detect the different types of disease efficiently and have the ability to deal with complex scenarios. The training model achieves an accuracy of 99.35% which depicts the feasibility of a Convolution Neural Network and presents the path for AI-based Deep Learning Solutions to this Complex Problem.

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