[引用][C] A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends

W Shafik, A Tufail, A Namoun, LC De Silva… - IEEE …, 2023 - ui.adsabs.harvard.edu
A Systematic Literature Review on Plant Disease Detection: Motivations, Classification
Techniques, Datasets, Challenges, and Future Trends - NASA/ADS … A Systematic
Literature Review on Plant Disease Detection: Motivations, Classification Techniques,
Datasets, Challenges, and Future Trends …

[PDF][PDF] A Systematic Literature Review on Plant Disease Detection: Motivations, Classification Techniques, Datasets, Challenges, and Future Trends

RAAWGHM APONG - researchgate.net
Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming
and impractical for a wider plantation size, thus reducing crop production. Therefore, many
smart agricultural practices are deployed to control plant diseases and pests. Most of these
approaches, for example, use vision-based artificial intelligence (AI), machine learning (ML),
or deep learning (DL) methods and models to provide disease detection solutions. However …
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