Lucero, M., Adee, E., Diaz, D.R., Sullivan, T., Jha, G., Simon, L., Joshi, D.R. (2026). Machine learning insights into long-term soil fertility legacy and seasonal weather effects in corn–soybean rotation. Soil Science Society of America Journal.

Nazrul, F., Kim, J., Dey, S., Whitaker, B., Sihi, D., Min, D., Jha, G. (2026). Data-driven and machine learning framework for Alfalfa yield response to long-term climate variability in the Kansas High Plains (USA). Scientific Reports.

Dey, S., Shimim, F.N., Kim, J., Deshpande, P., Xu, X., Whitaker, B., Bhandari, M., Foster, J.L., Calil, Y.C.D., Prasad, P.V.V., Aguilar, J., Min, D., Jha, G. (2026). Feature selection and explainable machine learning to identify climatic drivers of alfalfa yield in the Ogallala Region (USA). Frontiers in Agronomy.

Mohamadzadeh, N., Sadheghi, M., Wang, J., Jha, G., Liang, I., Bandara, U., Altare, C., Hatch, T., Caldas, M.M. (2026). Microwave-guided OPTRAM: A novel approach for mapping soil moisture by fusing SMAP and MODIS satellite observations. Remote Sensing Applications: Society and Environment.

Debangshi, U., Deshpande, P., Prasad, P.V. V., Sharda, V., Metzger, S., Ciampitti, I.A., Jha, G. (2026). Spatial assessment of field-scale water use efficiency of an AI-radar guided irrigation system using UAV-derived and OpenET evapotranspiration. Smart Agricultural Technology.

Ebert, L.A., Gal, A., Brooks, W., Jha, G., Nocco, M.A. (2026). A Bayesian regression modeling framework for identifying land surface temperature and evapotranspiration treatment effects in UAV and airborne data. Environmental Research.

Norton, A.E., Empkey, A., Jha, G., Xu, X., Panthi, J. (2026). Alfalfa nanoparticles: a rapid and sustainable method for detecting mercury in water. Results in Chemistry.

Debangshi, U., Sharda, V., Dooley, S., Adee, E. A., Prasad, P. V. V., Jha, G. (2025). Evaluating the effect of planting dates on soybean yield using satellite and weather data. Agronomy Journal.

Jha, G., Dey, S., Deshpande, P. (2025). Operational and analytical frameworks of Unoccupied Aerial Vehicles (UAV) for precision agriculture applications. 

Debangshi, U., Deshpande, P., Ciampitti, I. A., Metzger, S., Prasad, P. V. V., Sharda, V., Jha, G. (2025). Precision irrigation with artificial intelligence–integrated ground-penetrating radar reduces water stress in corn. Agricultural & Environmental Letters.

Shimim, F. N., Fortin, M.P., Nocco, M., Whitaker, B., Gal, A., Diaz, D., Schmidt, R., Jha, G. (2025). Data fusion approach for predicting high resolution estimates of crop evapotranspiration. Precision Agriculture.

Jha, G., Whiting, M., Fullen, S., Ulery, A. L., Lombard, K., VanLeeuwen, D., Brungard, C., Francis, B. (2025). Long-term monitoring of irrigation ditch sediment metal(loid)s in the Animas and San Juan River watershed, New Mexico (USA) after the Gold King Mine spill. Geochemistry: Exploration, Environment, Analysis.