Skip to main content
ARS Home » Southeast Area » Stoneville, Mississippi » Crop Production Systems Research » Research » Research Project #445948
Research Project: Development of Productive, Profitable, and Sustainable Crop Production Systems for the Mid-South

Location: Crop Production Systems Research

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Machine learning on multi-spectral imagery to estimate nutrient yield of mixed-species cover crops Reprint Icon - (Peer Reviewed Journal)
Kharel, T.P., Tyler, H.L., Mubvumba, P., Huang, Y., Bhandari, A.B., Fletcher, R.S., Anapalli, S.S., Joshi, D.R., Mengistu, A., Birru, G.A., Adhikari, K., Dhakal, M., Maskey, M.L., Reddy, K.N., Clay, D.E. 2025. Machine learning on multi-spectral imagery to estimate nutrient yield of mixed-species cover crops. Agricultural & Environmental Letters. https://doi.org/10.1002/ael2.70009.

Enhanced nutrient programs to rehabilitate freeze-stressed citrus in subtropical regions Reprint Icon - (Peer Reviewed Journal)
De-Leon, D., Nelson, S.D., Sétamou, M., Bhandari, A.B., Zamora, E., Zaragoza, A., Donato, C., Reyes-Cabrera, J. 2024. Enhanced nutrient programs to rehabilitate freeze-stressed citrus in subtropical regions. HortScience. Volume 59: Issue 12. https://doi.org/10.21273/HORTSCI18233-24.

Quantify the effects of potassium nutrition on corn (Zea mays L.) physiology and growth for modeling Reprint Icon - (Peer Reviewed Journal)
Thenveettil, N., Reddy, K.N., Reddy, R.K. 2024. Quantify the effects of potassium nutrition on corn (Zea mays L.) physiology and growth for modeling. Agriculture. 14:968. https://doi.org/10.3390/agriculture14070968.