Recognition of Anthracnose in Large Coffee Plantation

This study introduces an innovative technological solution aimed at the early and accurate detection of pests in coffee crops, with a specific focus on anthracnose. Utilizing machine learning and image processing techniques, we have developed a system capable of precisely identifying the presence of this pest, offering farmers an effective tool for pest management. This approach enhances the efficiency of pest detection and reduces dependence on experts, which is especially valuable in regions with limited access to specialized knowledge.