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What is Agriengineering 07 00013 V2 about?
This study presents a novel deep learning approach for real-time identification of coffee leaf diseases, addressing the limitations of traditional methods. The proposed CoffNet model achieved high accuracy rates and processing speeds suitable for real-time applications, significantly reducing the workload for farmers. The findings support the development of efficient systems that can enhance disease management and promote sustainable farming practices.
- Author
- juan salazar
- Language
- EN