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.