Feature engineering to identify plant diseases using image processing and artificial intelligence: A comprehensive review

Javidan, Seyed Mohamad; Banakar, Ahmad; Rahnama, Kamran; Vakilian, Keyvan Asefpour; Ampatzidis, Yiannis

doi:10.1016/j.atech.2024.100480

Smart Agricultural Technology

2024

DOI: 10.1016/j.atech.2024.100480

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Feature engineering to identify plant diseases using image processing and artificial intelligence: A comprehensive review

Seyed Mohamad Javidan,

Ahmad Banakar,

Kamran Rahnama

et al.

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Cited by 8 publications

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Feature engineering to identify plant diseases using image processing and artificial intelligence: A comprehensive review

Cited by 8 publications

References 96 publications

Tree crop yield estimation and prediction using remote sensing and machine learning: A systematic review

Tree crop yield estimation and prediction using remote sensing and machine learning: A systematic review

Harnessing image processing for precision disease diagnosis in sugar beet agriculture

Early detection and spectral signature identification of tomato fungal diseases (Alternaria alternata, Alternaria solani, Botrytis cinerea, and Fusarium oxysporum) by RGB and hyperspectral image analysis and machine learning

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