DeepEMPR: coffee leaf disease detection with deep learning and enhanced multivariance product representation.

ABSTRACT: Plant diseases threaten agricultural sustainability by reducing crop yields. Rapid and accurate disease identification is crucial for effective management. Recent advancements in artificial intelligence (AI) have facilitated the development of automated systems for disease detection. This study focuses on enhancing the classification of diseases and estimating their severity in coffee leaf images. To do so, we propose a novel approach as the preprocessing step for the classification in which enhanced multivariance product representation (EMPR) is used to decompose the considered image into components, a new image is constructed using some of those components, and the contrast of the new image is enhanced by applying high-dimensional model representation (HDMR) to highlight the diseased par

SUBMITTER: Topal A 

PROVIDER: S-EPMC11623072 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature