2026-10-15T03:33:30Z https://www.scidb.cn/oai

10.57760/sciencedb.012kf 2026-09-18T11:31:26Z

2026-09-18 JuteFolio-BD: A Multifaceted Bangladeshi Jute Leaf Image Dataset doi:10.57760/sciencedb.012kf en JuteFolio-BD is a comprehensive image dataset developed to support automated jute leaf variety identification and disease classification in Bangladesh. The dataset contains images representing 19 healthy jute leaf types, along with three important disease categories: Mosaic, Stem Rot, and Soft Rot. By incorporating both healthy varietal diversity and diseased leaves, JuteFolio-BD provides a valuable resource for developing and evaluating computer vision and deep learning models for jute plant health assessment. The dataset can facilitate research in image classification, disease recognition, agricultural artificial intelligence, precision farming, and sustainable crop management, contributing to improved monitoring and protection of Bangladesh’s economically important jute cultivation. Jute; Jute Disease; Leaf Disease Md. Masudul Islam PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank