Tomato Leaf Disease Detection Using Machine Learning

Abstract

"Tomato cultivation in Sri Lanka faces challenges from unreliable disease identification systems, impacting crop yields. To address this, an innovative and user-friendly plant disease identification system is needed, utilizing advanced machine learning techniques to accurately detect various tomato leaf diseases, focusing on the Plateena variant. Overcoming funding and skill limitations is crucial for successful implementation."