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Cited by 960

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning

Open access
Pathak, Lakshin, Virani, Mili, Kansara, Drashti·2024·International Journal of Innovative Science and Research Technology (IJISRT)
DOI 10.38124/ijisrt/ijisrt24jun654
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Abstract

Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting to know generation. We have pre-skilled models like VGG19, MobileNet, InceptionV3, EfficientNetB0, Simple CNN where we are seeking to increase the utility for the crop disorder type. Through searching at some metrics as cited Accuracy, Precision, Recall and F1 score for a better knowledge of a crop leaf photo category, we observe how each version performs. Our paper shows that artificial intelligence is fairly useful for the obligations of the automatic disease detection and switch mastering (as a method for reusing the existing understanding in the new software) is also beneficial. The contribution of this work to the development of reliable systems of save you sicknesses in production touches upon the rural exercise to achieve superiority fits into precision agriculture and sustainable farming. Future research ought to possibly include centered regions concerning a stability of datasets and stepped forward model interpretability which in turn will improve the fulfillment of these strategies in agricultural contexts.

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Metadata

Authors
Pathak, L., Virani, M., & Kansara, D.
Venue
International Journal of Innovative Science and Research Technology (IJISRT)
Publisher
International Journal of Innovative Science and Research Technology
Published
2024-07-01
Pages
1316-1323
ISSN
2456-2165 (ISSN-L)
DOI
10.38124/ijisrt/ijisrt24jun654
OpenAlex
W4400217631
Cited by
960
References
19
FWCI
214.37
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning. https://app.cochat.ai/papers/10.38124/ijisrt/ijisrt24jun654
The paper
Pathak, L., Virani, M., & Kansara, D. (2024). Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning. International Journal of Innovative Science and Research Technology (IJISRT). https://doi.org/10.38124/ijisrt/ijisrt24jun654

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.