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."
