CS-D: A dataset for disease in tea leaf (Camellia sinensis) from Assam

Tea has a refreshing taste, smooth aroma, flavour, texture, and appearance, and provides various health benefits. Tea is made from tea leaves. Diseases infest tea leaves, ultimately impacting tea quality. The proposed tea leaf dataset comprises healthy leaves and diseased leaves attacked by insect pests, mite pests, fungi, and algae. The following five affected classes are included in the dataset: Tea Mosquito Bug, Red Spider Mite, Leaf Red Rust, Blister Blight, and Brown Blight. The data were collected from seven tea fields in different districts of Assam over a period of seven months, using three smartphone devices with varying pixel dimensions. Raw images are resized, augmented, and cleaned. Our aim is to provide a proposed dataset to researchers, enabling them to develop models.

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Publication Details

Journal
Data in Brief
Published
2025-11-08
DOI
https://doi.org/10.1016/j.dib.2025.112251
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

CS-D: A dataset for disease in tea leaf (Camellia sinensis) from Assam

Piyush Pandey, Sunaina Garg, Megha Gupta, Nabendu Kumar Deb
Data in Brief
Smart Agriculture and AI
article

CS-D: A dataset for disease in tea leaf (Camellia sinensis) from Assam

Piyush Pandey, Sunaina Garg, Megha Gupta, Nabendu Kumar Deb
article en

Abstract

Tea has a refreshing taste, smooth aroma, flavour, texture, and appearance, and provides various health benefits. Tea is made from tea leaves. Diseases infest tea leaves, ultimately impacting tea quality. The proposed tea leaf dataset comprises healthy leaves and diseased leaves attacked by insect pests, mite pests, fungi, and algae. The following five affected classes are included in the dataset: Tea Mosquito Bug, Red Spider Mite, Leaf Red Rust, Blister Blight, and Brown Blight. The data were collected from seven tea fields in different districts of Assam over a period of seven months, using three smartphone devices with varying pixel dimensions. Raw images are resized, augmented, and cleaned. Our aim is to provide a proposed dataset to researchers, enabling them to develop models.

Data in BriefVol. 63
Gauhati University (IN), Desh Bhagat University (IN), Assam University (IN)
Openalex Percentile: Top 76%
Smart Agriculture and AI
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CS-D: A dataset for disease in tea leaf (Camellia sinensis) from Assam — Piyush Pandey, Sunaina Garg, et al. · Data in Brief (2025) | TGRS Research Map | TGRS