Multimodal CNN–LSTM Framework for Real-Time Maize Disease Detection

Mercy Chepkoech Tonui, John Kamau, Raymond Wafula Ongus

Open source

DOI
10.28989/avitec.v8i2.3970
Published
2026-06-03
Container
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC)
Publisher
Institut Teknologi Dirgantara Adisutjipto (ITDA)
Open access
unknown

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Cite this work

BibTeX

@article{allodium:10.28989/avitec.v8i2.3970,
  title = {Multimodal CNN–LSTM Framework for Real-Time Maize Disease Detection},
  author = {Mercy Chepkoech Tonui and John Kamau and Raymond Wafula Ongus},
  year = {2026},
  journal = {Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC)},
  doi = {10.28989/avitec.v8i2.3970},
  url = {https://doi.org/10.28989/avitec.v8i2.3970}
}

RIS

TY  - JOUR
TI  - Multimodal CNN–LSTM Framework for Real-Time Maize Disease Detection
AU  - Mercy Chepkoech Tonui
AU  - John Kamau
AU  - Raymond Wafula Ongus
PY  - 2026
JO  - Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC)
DO  - 10.28989/avitec.v8i2.3970
UR  - https://doi.org/10.28989/avitec.v8i2.3970
ER  - 

APA

Tonui, M. C., Kamau, J., & Ongus, R. W. (2026). Multimodal CNN–LSTM Framework for Real-Time Maize Disease Detection. Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC). https://doi.org/10.28989/avitec.v8i2.3970

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