Applications of Machine Learning in Agrometeorological Forecasting and Modeling: A Short Review from the Journal of Agrometeorology
DOI:
https://doi.org/10.54386/jam.v28i1.3320Keywords:
Machine learning, Weather forecasting, agrometeorological modelReferences
Bakr, D. I., Al-Khalidi, J., & Abed, H. N. (2025). Estimation of climatological parameters using ANN and WEKA models in Diyala Governorate, Iraq. Journal of Agrometeorology, 27(2), 210–215. https://doi.org/10.54386/jam.v27i2.2877
Bhattacharjee, S., Biwalkar, N., Koyel Sur, Kaur, S., & Singh, S. P. (2025). Application of artificial intelligence and statistical recurrent models in predicting rainfall: A case study of Ludhiana, Punjab. Journal of Agrometeorology, 27(3), 395–398. https://doi.org/10.54386/jam.v27i3.3038
Caguiat, L. S., Saludes, R. B., Castro, M. L. Y., & Lampayan, R. M. L. (2025). Machine learning modeling of reference evapotranspiration in Central Luzon, Philippines. Journal of Agrometeorology, 27(4), 464–469. https://doi.org/10.54386/jam.v27i4.2909
Chand, N., & Ranjan, R. (2025). Sugarcane yield forecasting using machine learning techniques in Udham Singh Nagar district of Uttarakhand. Journal of Agrometeorology, 27(2), 233–235. https://doi.org/10.54386/jam.v27i2.2888
Jhajharia, K. (2025). Wheat yield prediction of Rajasthan using climatic and satellite data and machine learning techniques. Journal of Agrometeorology, 27(1), 63–66. https://doi.org/10.54386/jam.v27i1.2807
Kothiyal, S., Goel, S., Singh, R. K., Chilwal, A., & Ranjan, R. (2025). SARIMA-based time series analysis of rainfall and temperature for the Tarai region of Uttarakhand. Journal of Agrometeorology, 27(1), 73–76. https://doi.org/10.54386/jam.v27i1.2838
Kureshi, A. M., Pathak, V. N., Kardani, D. B., Dave, J. A., Shah, D. B., Turakhia, T. P., Gujrati, A., Pandya, M. R., & Trivedi, H. J. (2025). Machine learning approaches for clear-sky Land Surface Albedo (LSA) retrieval using OCM-3 data over diverse Indian landscapes. Journal of Agrometeorology, 27(4), 454–463. https://doi.org/10.54386/jam.v27i4.3174
Mahadeva, M., & Sriram A. V. (2025). Adaptive Neuro-Fuzzy inference system (ANFIS) based models for estimation of reference evapotranspiration (ET0). Journal of Agrometeorology, 27(3), 381–384. https://doi.org/10.54386/jam.v27i3.3008
Naidu, D., & Chandniha, S. K. (2025). Hybrid SARIMA–Bi-LSTM model for monthly rainfall forecasting in the agroclimatic zones of Chhattisgarh. Journal of Agrometeorology, 27(3), 332–337. https://doi.org/10.54386/jam.v27i3.3010
Naik, R., Majhi, B., & Naidu, D. (2025). Prediction of pan evaporation in Chhattisgarh using machine learning techniques. Journal of Agrometeorology, 27(1), 86–91. https://doi.org/10.54386/jam.v27i1.2731
Naranammal, N., S. R. Krishna Priya, & K. Naveena (2025). Enhanced hybrid CEEMDAN-GMDH regression model for forewarning sucking pests in cotton crops of Coimbatore, Tamil Nadu. Journal of Agrometeorology, 27(4), 447–453. https://doi.org/10.54386/jam.v27i4.3099
Patel, R. M., & Bunkar, K. (2025). Soybean yield prediction leveraging advanced ensemble machine learning models. Journal of Agrometeorology, 27(2), 227–229. https://doi.org/10.54386/jam.v27i2.2971
Prasad, A., Singh, R., K V Ramana Rao, & C. K. Saxena. (2025). Applicability of machine learning models for drought prediction using SPI in Kalahandi, Odisha. Journal of Agrometeorology, 27(2), 216–220. https://doi.org/10.54386/jam.v27i2.2906
Rao, A. S., & Krishnan, A. (2025). Rice yield prediction in Dakshina Kannada district using ensemble machine learning. Journal of Agrometeorology, 27(4), 518–521. https://doi.org/10.54386/jam.v27i4.3148
Ray, P. P., & Pradhan, M. P. (2025). AgroMetLLM: An evapotranspiration and agro-advisory system using localized large language models in resource-constrained edge. Journal of Agrometeorology, 27(3), 320–326. https://doi.org/10.54386/jam.v27i3.3081
Singh, R., Annu, Chandra, U., Maheshwari, H., Verma, A. P., & Shukla, G. (2025). Comparative analysis of weather-driven models for sorghum yield prediction in Bundelkhand. Journal of Agrometeorology, 27(4), 511–513. https://doi.org/10.54386/jam.v27i4.3151
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