A Novel Approach to Apple Leaf Disease Detection Using Neutrosophic Logic-Integrated EfcientNetB0

Abstract

 Detecting diseases in apple leaves accurately and efficiently is vital for maintaining healthy crops
 and ensuring optimal yield. This paper introduces a novel approach that integrates Neutrosophic Logic with
 the EfficientNetB0 model to enhance the classification of apple leaf diseases. The proposed method significantly
 improves precision, recall, and F1-scores across multiple disease classes, demonstrating its robustness and effec
tiveness compared to traditional techniques.