Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

A reliable and accurate diagnosis and identification system is required to prevent and manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and affecting yield quality and productivity. This study aims to present an artificial intelligence-based solution to the problem...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; p. 6078
Main Authors:	Soeb, Md. Janibul Alam, Jubayer, Md. Fahad, Tarin, Tahmina Akanjee, Al Mamun, Muhammad Rashed, Ruhad, Fahim Mahafuz, Parven, Aney, Mubarak, Nabisab Mujawar, Karri, Soni Lanka, Meftaul, Islam Md
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 13-04-2023 Nature Publishing Group Nature Portfolio
Subjects:	631/449 704/172 704/445 704/844 Artificial Intelligence Bangladesh Benchmarking Disease Disease detection Gardens & gardening Humanities and Social Sciences Image processing Leaves multidisciplinary Plant Leaves Retina Science Science (multidisciplinary) Tea Bangladesh
Online Access:	Get full text
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