Chilli leaf curl virus dataset

Read full text
Authors: Kannan M, Parthasarathy Seethapathy
Cited by: 0

Abstract

This dataset comprises high-resolution images of chilli (Capsicum annuum) leaves collected under real field conditions. It includes healthy leaves and chilli leaf curl virus–infected samples captured using smartphone cameras at different growth stages. Images reflect natural variations in illumination, background, and leaf orientation to ensure real-world robustness. Expert validation was performed to confirm disease labels. The dataset was curated, resized, and quality-checked before model training. It supports deep learning–based disease detection, mobile deployment, and field-level validation studies. The dataset is intended for research on early disease diagnosis and precision agriculture applications.

Fields of Study & Subjects

Smart Agriculture and AI Plant Virus Research Studies Advanced Neural Network Applications

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset