May 9, 2024, 4:44 a.m. | Atuhurra Jesse, N'guessan Yves-Roland Douha, Pabitra Lenka

cs.CV updates on

arXiv:2405.04535v1 Announce Type: new
Abstract: The detection of diseases within plants has attracted a lot of attention from computer vision enthusiasts. Despite the progress made to detect diseases in many plants, there remains a research gap to train image classifiers to detect the cacao swollen shoot virus disease or CSSVD for short, pertinent to cacao plants. This gap has mainly been due to the unavailability of high quality labeled training data. Moreover, institutions have been hesitant to share their data …

abstract arxiv attention classification classifiers computer computer vision detection disease diseases eess.iv gap image plants progress research train type virus vision

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