1. Comparison of CNN-based deep learning architectures for rice disease classification;Ahad;Artif. Intell. Agric.,2023
2. A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets;Mittal;Multim. Tools Appl.,2022
3. Sweet orange: evolution, characterization, varieties, and breeding perspectives;Seminara;Agriculture,2023
4. A customised Vision Transformer for accurate detection and classification of Java Plum leaf disease;Bhowmik;Smart Agric. Technol.,2024
5. Scratch Vision Transformer Model for Diagnosis Grape Leaf Disease;Mamun,2023