APA (7th ed.) Citation

Suriyalaksh, M., Prommawin, B., Hannanta-anan, P., Sreewongchai, T., Promchote, P., & Nakasathien, S. (2026). Explainable machine learning reveals diverse yield-determining factors among Thai rice farmer cohorts: Implications for targeted agricultural support. PLoS ONE, 21(6), 1. https://doi.org/10.1371/journal.pone.0349688

Chicago Style (17th ed.) Citation

Suriyalaksh, Manusnan, Benjapon Prommawin, Pimkhuan Hannanta-anan, Tanee Sreewongchai, Parichart Promchote, and Sutkhet Nakasathien. "Explainable Machine Learning Reveals Diverse Yield-determining Factors Among Thai Rice Farmer Cohorts: Implications for Targeted Agricultural Support." PLoS ONE 21, no. 6 (2026): 1. https://doi.org/10.1371/journal.pone.0349688.

MLA (9th ed.) Citation

Suriyalaksh, Manusnan, et al. "Explainable Machine Learning Reveals Diverse Yield-determining Factors Among Thai Rice Farmer Cohorts: Implications for Targeted Agricultural Support." PLoS ONE, vol. 21, no. 6, 2026, p. 1, https://doi.org/10.1371/journal.pone.0349688.