An optimal feature selection-based deep learning approach for wheat disease identification
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19453-9.pdf
Reference37 articles.
1. Devi M et al (2021) Forecasting of wheat production in Haryana using hybrid time series model. J Agric Food Res 5:100175
2. Shafi U et al (2022) Wheat rust disease detection techniques: a technical perspective. J Plant Dis Protect 129(3):489–504
3. Albattah W, Nawaz M, Javed A, Masood M, Albahli S (2022) A novel deep learning method for detection and classification of plant diseases. Complex Intell Syst 8:507–524
4. Thakur PS, Khanna P, Sheorey T, Ojha A (2022) Trends in vision-based machine learning techniques for plant disease identification: a systematic review. Expert Syst Appl 208:118117
5. Ngugi LC, Abelwahab M, Abo-Zahhad M (2021) Recent advances in image processing techniques for automated leaf pest and disease recognition–A review. Inform Process Agric 8(1):27–51
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