Research Project: Development of Enhanced Tools and Management Strategies to Support Sustainable Agricultural Systems and Water Quality

Location: Grassland Soil and Water Research Laboratory

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

Machine learning algorithms improve MODIS GPP estimates in United States croplands - (Peer Reviewed Journal)
Menefee, D.S., Lee, T.O., Flynn, K.C., Chen, J., Abraha, M., Baker, J.M., Suyker, A. 2023. Machine learning algorithms improve MODIS GPP estimates in United States croplands. Frontiers in Remote Sensing. 4. Article 1240895. https://doi.org/10.3389/frsen.2023.1240895.

Hyperspectral reflectance and machine learning to monitor legumes for feed quality - (Abstract Only)

Diverse eastern gamagrass ecotypes: General characteristics, ploidy levels, and biogeography - (Peer Reviewed Journal)

Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation - (Peer Reviewed Journal)
Flynn, K.C., Baath, G., Lee, T.O., Gowda, P.H., Northup, B.K. 2023. Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation. Computers and Electronics in Agriculture. 211. Article 107991. https://doi.org/10.1016/j.compag.2023.107991.

Cooling effects of increased green fodder area on native grassland in the northeastern Tibetan Plateau - (Peer Reviewed Journal)
Liu, W., Zhou, Y., Dong, J., Zhang, G., Yang, T., You, N., Flynn, K.C., Wagle, P., Yang, H. 2023. Cooling effects of increased green fodder area on native grassland in the northeastern Tibetan Plateau. Environmental Research Letters. 18(6). Article 064006. https://doi.org/10.1088/1748-9326/acc9d3.

Plant parameterization and APEXgraze model calibration and validation for U.S. land resource region H grazing lands - (Peer Reviewed Journal)
Meki, M.N., Osorio-Leyton, J., Steglich, E.M., Kiniry, J.R., Propato, M., Winchell, M., Rathjens, H., Angerer, J.P., Norfleet, L.M. 2023. Plant parameterization and APEXgraze model calibration and validation for U.S. land resource region H grazing lands. Agricultural Systems. 207. Article 103631. https://doi.org/10.1016/j.agsy.2023.103631.

Tropical tree simulation with a process-based, daily timestep simulation model (ALMANAC): Description of model adaptation and examples with coffee and cocoa simulations - (Peer Reviewed Journal)

Assessment of aggregate stability methodologies for calcareous silty soils in Idaho's Magic Valley - (Abstract Only)
Schott, L.R., Yost, J.L., Kruger, K., Leytem, A.B., Dungan, R.S. 2023. Assessment of aggregate stability methodologies for calcareous silty soils in Idaho's Magic Valley [abstract]. American Society of Agricultural and Biological Engineers International (ASABE). Paper No. 23040.

Assessment of infiltration methodologies for calcareous silty soils in Idaho's Magic Valley - (Abstract Only)
Schott, L.R., Yost, J.L., Kruger, K., Leytem, A.B., Dungan, R.S. 2023. Assessment of infiltration methodologies for calcareous silty soils in Idaho's Magic Valley [abstract]. American Society of Agricultural and Biological Engineers International (ASABE). Paper No. 23039.

Effects of two categorically differing emergent wetland plants on evapotranspiration - (Peer Reviewed Journal)
Kiniry, J.R., Williams, A.S., Reisner, L., Hatfield, J.L., Kim, S. 2023. Effects of two categorically differing emergent wetland plants on evapotranspiration. Agrosystems, Geosciences & Environment. 6(1). Article e20331. https://doi.org/10.1002/agg2.20331.

Edaphic controls of soil organic carbon in tropical agricultural landscapes - (Peer Reviewed Journal)

Peanut seed germination detection based on unmanned aerial systems (UAS) and deep learning - (Abstract Only)
Ma, S., Zhou, Y., Flynn, K.C., Aakur, S. 2023. Peanut seed germination detection based on unmanned aerial systems (UAS) and deep learning [abstract], Washington, DC, October 11-13, 2022.

Detecting frequent harvest of alfalfa with spatio-temporal fused data - (Abstract Only)

Unraveling the effects of management and climate on carbon fluxes of U.S. croplands using the USDA Long-Term Agroecosystem (LTAR) network - (Peer Reviewed Journal)
Menefee, D.S., Scott, R.L., Abraha, M., Alfieri, J.G., Baker, J.M., Browning, D.M., Chen, J., Gonet, J.M., Johnson, J.M., Miller, G.R., Nifong, R.L., Robertson, P., Russel, E.R., Saliendra, N.Z., Schreiner-Mcgraw, A.P., Suyker, A., Wagle, P., Wente, C.D., White Jr, P.M., Smith, D.R. 2022. Unraveling the effects of management and climate on carbon fluxes of U.S. croplands using the USDA Long-Term Agroecosystem (LTAR) network. Agricultural and Forest Meteorology. 326. Article 109154. https://doi.org/10.1016/j.agrformet.2022.109154.

Clean Water Act at 50: Celebrating the golden anniversary of the blue policy - (Peer Reviewed Journal)
Smith, D.R. 2022. Clean Water Act at 50: Celebrating the golden anniversary of the blue policy. Journal of Environmental Quality. 51(5):775-779. https://doi.org/10.1002/jeq2.20407.

Using UAS-multispectral images to predict cord yield under different planting dates - (Abstract Only)
Sapkota, B., Sarkar, S., Baath, G.S., Flynn, K.C., Smith, D.R. 2022. Using UAS-multispectral images to predict cord yield under different planting dates. ASA-CSSA-SSSA Annual Meeting Abstracts [abstract], Baltimore, MD, November 6-9, 2022.

Evaluation of cotton emergence using multi-band spectral imagery for organic production systems - (Abstract Only)
Sarkar, S., Baath, G.S., Arun, B., Sapkota, B., Flynn, K.C., Smith, D.R. 2022. Evaluation of cotton emergence using multi-band spectral imagery for organic production systems. ASA-CSSA-SSSA Annual Meeting Abstracts. Baltimore, MD, November 6-9, 2022.

Modeling the distribution of wild cotton Gossypium aridum in Mexico using flowering growing degree days and annual available soil water - (Peer Reviewed Journal)
Baez-Gonzalez, A.D., Melgoza-Castillo, A., Royo-Marquez, M.H., Kiniry, J.R., Meki, M.N. 2022. Modeling the distribution of wild cotton Gossypium aridum in Mexico using flowering growing degree days and annual available soil water. Sustainability. 14(11). Article 6383. https://doi.org/10.3390/su14116383.

Simulation of pesticide and metabolite concentrations using SWAT+ landscape routing and conditional management applications - (Peer Reviewed Journal)
Rathjens, H., Kiesel, J., Miguez, M.B., Winchell, M., Arnold, J.G., Sur, R. 2022. Simulation of pesticide and metabolite concentrations using SWAT+ landscape routing and conditional management applications. Water. 14. Article 1332. https://doi.org/10.3390/w14091332.

Integrated assessment of nitrogen runoff to the Gulf of Mexico - (Peer Reviewed Journal)
Xu, Y., Elbakidze, L., Yen, H., Arnold, J.G., Gassman, P.W., Hubbart, J., Strager, M.P. 2021. Integrated assessment of nitrogen runoff to the Gulf of Mexico. Resource and Energy Economics. 67. Article 101279. https://doi.org/10.1016/j.reseneeco.2021.101279.

A hydropedological approach to simulate streamflow and soil water contents with SWAT+ - (Peer Reviewed Journal)
van Tol, J., Bieger, K., Arnold, J.G. 2021. A hydropedological approach to simulate streamflow and soil water contents with SWAT+. Hydrological Processes. 35(6). Article e14242. https://doi.org/10.1002/hyp.14242.