Analysis of the Performance of YOLO Models for Tomato Plant Diseases Identification

Author:

Ahmed Shakil

Publisher

Springer Nature Singapore

Reference46 articles.

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2. Economic Research Service U.S. Department of Agriculture. https://www.ers.usda.gov/data-products/ag-and-food-statistics-charting-the-essentials/ag-and-food-sectors-and-the-economy/

3. Pandian JA, Kumar VD, Geman O, Hnatiuc M, Arif M, Kanchanadevi K (2022) Plant disease detection using deep convolutional neural network. Appl Sci 12:6982. https://doi.org/10.3390/app12146982

4. Geetharamani G, Pandian A (2019) Identification of plant leaf diseases using a nine-layer deep convolutional neural network. Comput Electr Eng 76:323–338

5. Ali S, Crawford P, Maire D, Pandey A, Ajay K (2021) Towards robotic knee arthroscopy: multi-scale network for tissue-tool segmentation. arXiv preprint arXiv:2110.02657

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