An Improved Agro Deep Learning Model for Detection of Panama Wilts Disease in Banana Leaves

Recently, Panama wilt disease that attacks banana leaves has caused enormous economic losses to farmers. Early detection of this and necessary preventive measures can avoid damage. This paper proposes an improved method predict based on symptoms using agro deep learning algorithm. The proposed model for detecting wilts is essential because it help accurately identify infected plants in a timely manner. It be instrumental large-scale agricultural operations where could spread quickly cause significant crop loss. Additionally, models used monitor the effectiveness treatments farmers make informed decisions about how manage best. designed severity its consequences arrangement color shape changes leaves. present compared with previous methods, achieved 91.56% accuracy, 91.61% precision, 88.56% recall 81.56% F1-score.