An Explainable Hybrid CNN–Transformer Framework for Early Crop Disease Detection and Classification in Precision Agriculture
- DOI
- 10.5281/zenodo.24070099
- Published
- 2026
- Container
- Not recorded
- Publisher
- Computer Engineering and Applications Journal
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.5281/zenodo.24070099,
title = {An Explainable Hybrid CNN–Transformer Framework for Early Crop Disease Detection and Classification in Precision Agriculture},
author = {Omit Singh Bhadauria and Dr. Kailash Patidar and Dr. Damodar Tiwari},
year = {2026},
doi = {10.5281/zenodo.24070099},
url = {https://doi.org/10.5281/zenodo.24070099}
}RIS
TY - JOUR TI - An Explainable Hybrid CNN–Transformer Framework for Early Crop Disease Detection and Classification in Precision Agriculture AU - Omit Singh Bhadauria AU - Dr. Kailash Patidar AU - Dr. Damodar Tiwari PY - 2026 DO - 10.5281/zenodo.24070099 UR - https://doi.org/10.5281/zenodo.24070099 ER -
APA
Bhadauria, O. S., Patidar, D. K., & Tiwari, D. D. (2026). An Explainable Hybrid CNN–Transformer Framework for Early Crop Disease Detection and Classification in Precision Agriculture. https://doi.org/10.5281/zenodo.24070099