Open Access
| Issue |
E3S Web Conf.
Volume 661, 2025
The 18th Thai Society of Agricultural Engineering International Conference “Climate Resilient Agriculture for Asia” (TSAE 2025)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 9 | |
| Section | Computers and Electronics in Agricultural Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202566103001 | |
| Published online | 13 November 2025 | |
- M. H. M. Ariff et al., Plant Disease Detection Using Computational Approaches: A Systematic Literature Review. Int. J. Innov. Sci. Technol. 6, 2014-2026 (2024) [Google Scholar]
- A. K. M. F. K. Siam et al., A data-driven approach to turmeric disease detection: Dataset for plant condition classification. Data Brief. 59, 111435 (2025) [Google Scholar]
- S. R. Sharvesh, S. K. Kumar, C. J. Raman, An Accurate Plant Disease Detection Technique Using Machine Learning. EAI Endorsed Transactions on Internet of Things 10, 4963 (2024) [Google Scholar]
- CBIRT, Top 30 Python Libraries Used in Bioinformatics. CBIRT (2024) [Google Scholar]
- F. Zubair et al., A Robust Ensemble Model for Plant Disease Detection Using Deep Learning Architectures. Future Internet 7(5), 159 (2025) [Google Scholar]
- M. Jakaria et al., InsightNet: A Deep Learning Framework for Enhanced Plant Disease Detection and Explainable Insights. Plant Direct 9(5), e0070076 (2025) [Google Scholar]
- A. M. Mutka, R. S. Bart, Image-based phenotyping of plant disease symptoms. Front. Plant Sci. 5, 734 (2014) [Google Scholar]
- SPIE, Agricultural remote sensing topic. SPIE Digital Library (2025) [Google Scholar]
- University of Oklahoma Libraries, Quantitative & Qualitative Analysis - Plant Biology. LibGuides at The University of Oklahoma Libraries (2025) [Google Scholar]
- Farmonaut, Revolutionizing Agriculture: Farmonaut's Real-Time Data Visualization for Precision Farming. Farmonaut (2025) [Google Scholar]
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