Abstract
The control of plant leaf diseases is crucial as it affects the quality and production of plant species with an effect on the economy of any country. Automated identification and classification of plant leaf diseases is, therefore, essential for the reduction of economic losses and the conservation of specific species. Various Machine Learning (ML) models have previously been proposed to detect and identify plant leaf disease; however, they lack usability due to hardware sophistication, limited scalability and realistic use inefficiency. By implementing automatic detection and classification of leaf diseases in fruit trees (apple, grape, peach and strawberry) and vegetable plants (potato and tomato) through scalable transfer learning on Amazon Web Services (AWS) SageMaker and importing it into AWS DeepLens for real-time functional usability, our proposed DeepLens Classification and Detection Model (DCDM) addresses such limitations. Scalability and ubiquitous access to our approach is provided by cloud integration. Our experiments on an extensive image data set of healthy and unhealthy fruit trees and vegetable plant leaves showed 98.78% accuracy with a real-time diagnosis of diseases of plant leaves. To train DCDM deep learning model, we used forty thousand images and then evaluated it on ten thousand images. It takes an average of 0.349s to test an image for disease diagnosis and classification using AWS DeepLens, providing the consumer with disease information in less than a second.
Highlights
The effects of plant disease on quantitative and qualitative production [1] are devastating, resulting in a striking blow to farmers, traders and consumers
The findings of this study show that end-to-end classification of plant leaf diseases is realised by the proposed algorithm and offers a solution and a reference for the implementation of deep learning approaches in plant disease classification
We proposed a DeepLens Classification and Detection Model (DCDM) to recognise and diagnose multiple fruit trees and vegetable plant leaf diseases
Summary
The effects of plant disease on quantitative and qualitative production [1] are devastating, resulting in a striking blow to farmers, traders and consumers. A 14.1% relative disease loss across all crops was observed in a US-based study conducted by the U.G.A. Center for Agribusiness and Economic Growth [2]. A description of losses due to plant disease reported by the University of Georgia Extension in the 2017 Georgia Farm Gate Value Study (AR-18-01) [2].
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