Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

Shoaib, Muhammad; Hussain, Tariq; Shah, Babar; Ullah, Ihsan; Shah, Sayyed Mudassar; Ali, Farman; Park, Sang Hyun

doi:10.3389/fpls.2022.1031748

articleFrontiers in Plant ScienceOct 7, 2022GOLD OA

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

MSMuhammad Shoaib THTariq Hussain BSBabar Shah IUIhsan Ullah SMSayyed Mudassar Shah

CECOS University · Institute for High Performance Computing and Networking · +5 more institutions

PubMed

Indexed incrossrefdoajpubmed

Abstract

Plants contribute significantly to the global food supply. Various Plant diseases can result in production losses, which can be avoided by maintaining vigilance. However, manually monitoring plant diseases by agriculture experts and botanists is time-consuming, challenging and error-prone. To reduce the risk of disease severity, machine vision technology (i.e., artificial intelligence) can play a significant role. In the alternative method, the severity of the disease can be diminished through computer technologies and the cooperation of humans. These methods can also eliminate the disadvantages of manual observation. In this work, we proposed a solution to detect tomato plant disease using a deep…

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248

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Topics

Keywords

Artificial intelligence
Segmentation
Deep learning
Computer science
Convolutional neural network
Plant disease
Binary classification
Image segmentation

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