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No file available [This article belongs to Volume - 58, Issue - 2]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-05-05-2026-914
Title : Transformer-Based Cotton Plant Disease Detecting: Comparative Study to Deep Learning and Machine Learning
Hina Shafi, , Ali Ghulam, , Mir. Sajjad Hussain Talpur, , Rahu Sikander,

Abstract : Cotton is one of the most important cash crops in the world, and many plant diseases have a big effect on how much it grows. To protect food and economic security, it is important to find and treat cotton plant diseases as soon as possible. Machine learning (ML) and deep learning (DL) methods have been widely used in the last few years to automatically find plant diseases using pictures of leaves. Nonetheless, current studies present findings derived from varying experimental conditions, dataset

Keywords : ML, DL, Based Cotton Plant Disease Detecting, Comparative Study, Deep Learning