Machine learning and deep learning techniques for detecting brown spot and narrow brown spot diseases in paddy (Oryza sativa): Algorithms, challenges, and future prospects | Synapse
March 3, 2026
Machine learning and deep learning techniques for detecting brown spot and narrow brown spot diseases in paddy (Oryza sativa): Algorithms, challenges, and future prospects
Key Points
Advanced machine learning algorithms successfully identify brown spot and narrow brown spot diseases in paddy crops, improving detection accuracy.
Overall, the integration of deep learning improved disease recognition rates significantly, achieving up to a 95% accuracy in tests.
Observational analysis utilizing image processing techniques has been employed to enhance the detection of these agricultural diseases.
This work highlights the need for further research into algorithm optimization for better real-time applications in agriculture.