Thongnim, P., & Mueanchamnong, S. (2026). Probabilistic clustering of atmospheric moisture regimes for irrigation scheduling in tropical fruit cultivation. Earth, 7(3), 90. https://doi.org/10.3390/earth7030090
Thongnim, P., & Wongjeam, S. (2026). Deep learning for hourly FAO-56 PM-derived crop evapotranspiration estimation using a Transformer encoder approach for data-driven irrigation management in tropical horticulture. AgriEngineering, 8(6), 207. https://doi.org/10.3390/agriengineering8060207
Thongnim, P., Sreekajon, J., & Srinil, P. (2026). Forecasting irrigation shifts in fruit cultivation under climate change scenarios in tropical Thailand. Indonesian Journal of Electrical Engineering and Informatics, 14(3), 847-858. https://doi.org/10.52549/ijeei.v14i3.7302
Thongnim, P., Inthasuth, T., & Leelaphaiboon, M. (2025). Integrating LSTM-based VPD forecasting into IoT-driven smart irrigation systems in tropical orchards. Discover Sustainability. https://doi.org/10.1007/s43621-025-02538-2
Thongnim, P., & Srinil, P. (2025). Smart farming solutions for durian cultivation using IoT and chatbot integration for precision agriculture. Discover Internet of Things, 5, 117. https://doi.org/10.1007/s43926-025-00227-0
Thongnim, P., & Mueanchamnong, S. (2025). Statistical classifications for evapotranspiration and vapor pressure deficit monitoring using machine learning in tropical agriculture. Iran Journal of Computer Science, 8, 2799-2814. https://doi.org/10.1007/s42044-025-00346-5
Thongnim, P., Sreekajon, J., & Phukseng, T. (2025). Optimizing fruit cultivation through an unsupervised learning approach. Eurasian Journal of Mathematical and Computer Applications, 13(3), 112-127. https://doi.org/10.32523/2306-6172-2025-13-3-112-127
Thongnim, P., Srinil, P., & Phukseng, T. (2025). Data-driven clustering of smart farming to optimize agricultural practices through machine learning. Bulletin of Electrical Engineering and Informatics, 14(2), 1343-1354. https://doi.org/10.11591/eei.v14i2.9343
Mueanchamnong, S., & Thongnim, P. (2026). atspR: An R package for automated time series preprocessing. SoftwareX, 102777. https://doi.org/10.1016/j.softx.2026.102777