Monthly Issue · Open Access

Vol. 29 No. 11 (2026): November 2026

1 review article · 16 research articles · 1 erratum · Published online 10 October 2026

6 Agricultural & Biological Sciences 4 Chemical, Environmental & Energy Engineering 5 Computer Science & Decision Sciences 2 Pharmacology, Toxicology & Applied Microbiology Editor's Note

The November 2026 issue brings together 17 peer-reviewed articles from researchers across the ASEAN region and beyond. Agricultural research is the largest group, with studies on rice weed management and the yield stability of advanced rice lines, corn seed germination, and black soldier fly larvae reared on organic waste for feed. Environmental and energy contributions examine blue carbon and heavy metals in mangrove ecosystems, rooftop solar PV performance in Thailand's Eastern Economic Corridor, lightweight concrete using rice husk ash, and a systematic review of microbubble ozonation.

In computer science, the issue features deep learning for plant leaf disease detection and herbal plant identification, AI-generated text detection, Thai lyrics emotion classification, and cross-modal recognition of traffic police gestures. The issue also includes a review on carbon nanoparticles synthesised from natural sugars and a study of bioactive compounds in Thai RD43 rice extracts as cosmetic ingredients.

We thank the authors, reviewers and editors whose work made this issue possible.

Assoc. Prof. Dr. Sompong O-Thong
Editor-in-Chief

Highlights by Subject Area Agricultural and Biological Sciences

• Rice: land preparation timing and weed management (e263562); G × E yield stability (e263992)
• Corn seed priming with brown sugar and yeast extract (e264753)
• Black soldier fly larvae on organic waste substrates (e263492)
• CNN-LSTM plant leaf disease detection (e262967)
• Thai RD43 rice extracts as cosmetic ingredients (e263257)

Chemical, Environmental and Energy Engineering

• Heavy metals and blue carbon in mangroves (e262583)
• Rooftop solar PV performance in the EEC (e265261)
• Microbubble ozonation: systematic review (e263545)
• Lightweight concrete with rice husk ash (e263255)

Computer Science and Decision Sciences

• Herbal plant classification app (e262523)
• AI-generated text detection (e265688)
• Thai lyrics emotion classification (e264016)
• Traffic police gesture understanding (e263319)
• AI in dementia care (e263752)

Pharmacology, Toxicology and Applied Microbiology

• Carbon nanoparticles from natural sugars: review (e263119)
• IL-6/IL-10 cytokines and latent Toxoplasma gondii (e266438)

Erratum. This issue includes an erratum (e268727) to "Enhancing Biogas Yield Prediction Using Artificial Neural Networks: A Case Study with Agricultural Residues." The correction notice is linked to the original article. See our policy on corrections and retractions. How to cite articles in this issue: Author(s). Article title. ASEAN J. Sci. Tech. Report. 2026, 29(11), e26XXXX. https://doi.org/[DOI] All articles are open access under CC BY 4.0. Submit your manuscript → · Browse all issues