Comparative Evaluation of ResNet18, ResNet34, and ResNet50 Models in Classifying Plant Leaf Diseases
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DOI:
https://doi.org/10.5281/zenodo.23485351Keywords:
Plant disease classification, Leaf images, Deep learning, Transfer learning, ResNetAbstract
This is the section where the purpose, the method(s) used, the findings obtained, the results and evaluations are briefly stated. It should not exceed 350 words and 2600 characters including spaces. It should be written in 9pt with single space between the lines. Abstract: This is the section where the purpose, the method(s) used, the findings obtained, the results and evaluations are briefly stated. It should not exceed 350 words and 2600 characters including spaces. It should be written in 9pt with single space between the lines. Abstract: This is the section where the purpose, the method(s) used, the findings obtained, the results and evaluations are briefly stated. It should not exceed 350 words and 2600 characters including spaces. It should be written in 9pt with single space between the lines. Abstract: This is the section where the purpose, the method(s) used, the findings obtained, the results and evaluations are briefly stated. It should not exceed 350 words and 2600 characters including spaces. It should be written in 9pt with single space between the lines. Abstract: This is the section where the purpose, the method(s) used, the findings obtained, the results and evaluations are briefly stated. It should not exceed 350 words and 2600 characters including spaces. It should be written in 9pt with single space between the lines. Abstract: This is the section where the purpose, the method(s) used, the findings obtained, the results and evaluations are briefly stated. It should not exceed 350 words and 2600 characters including spaces. It should be written in 9pt with single space between the lines.
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