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An AI-powered smartphone-based solution for rice leaf disease detection and a smart electronic reporting system integrating deep convolutional neural network and the internet of things
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DOI：10.1016/j.pmpp.2026.103371.png)
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Abstract
En 中文
• Integrated smartphone app with Deep-CNN for early detection of rice leaf diseases. • Achieved notable training accuracy of 99.5% and validation accuracy of 99.75%. • Implementing Smart Electronic Reporting (SER) streamlines data flow and processing. • User-friendly app gives farmers disease management advice for timely interventions.
Keywords:
Bacterial blight
Blast
Brownspot
Tungro
Artificial intelligence
Internet of Things
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