Research and Student Groups

Research

Dr. Paul Nugent

• Riesland, D. W., Nugent, P. W., Laurie, S., Shaw, J. (2016) Radiometric calibration of an ultra-compact microbolometer thermal camera. Proceedings of CALCON 2016
• Johnson, J. E., Shaw, J., Lawrence, R., Nugent, P. W., Dobeck, L. M., Spangler, L. (2012) Long-wave infrared imaging of vegetation for detecting leaking CO2 gas. Journal of Applied Remote Sensing: v. 6 i. 1 p. 063612–063612
• Shaw, J., Seldomridge, N. L., Dunkle, D. L., Nugent, P. W., Spangler, L., Bromenshenk, J. J., Henderson, C. B., Churnside, J. H., Wilson, J. J. (2005) Polarization lidar measurements of honey bees in flight for locating land mines. Optics Express: v. 13 i. 15 p. 5853–5863
• Cross, P. C., Almberg, E. S., Haase, C. G., Hudson, P. J., Maloney, S. K., Metz, M. C., Munn, A. J., Nugent, P. W., Putzeys, O., ... others, . (2016) Energetic costs of mange in wolves estimated from infrared thermography. Ecology: v. 97 i. 8 p. 1938--1948
• Nugent, P. W., Shaw, J., Jha, P., Scherrer, B. J., Donelick, A., Kumar, V. (2018) Discrimination of herbicide-resistant kochia with hyperspectral imaging. JOURNAL OF APPLIED REMOTE SENSING: v. 12 i. 1
• Redman, B., Shaw, J., Nugent, P. W., Clark, R., Piazzolla, S. (2018) Reflective all-sky thermal infrared cloud imager. OPTICS EXPRESS: v. 26 i. 9 p. 11276-11283
• Shaw, J., Nugent, P. W., Johnson, J., Bromenshenk, J. J., Henderson, C. B., Debnam, S. (2011) Long-wave infrared imaging for non-invasive beehive population assessment. Optics Express: v. 19 p. 399-408
• Shaw, J., Nugent, P. W., Kaufman, N. A., Pust, N. J., Mikes, D., Knierim, C., Faulconer, N., Larimer, R., Des Jardins, A., Knighton, W. (2012) Multispectral imaging systems on tethered balloons for optical remote sensing education and research. Journal of Applied Remote Sensing: v. 6 i. 1 p. 063613–063613

Dr. Anish Sapkota

• Iradukunda, J., Sapkota, A., Amiri, Z., Verdi, A. (2026) Predicting CO2 emissions using UAV spectral and thermal data in urban lawns: A case study of buffalograss and St. Augustinegrass. Urban Forestry & Urban Greening: v. 118 p. 129297
• Sapkota, A., Roby, M., Peddinti, S. R., Fulton, A., Kisekka, I. (2025) Comparative analysis of evapotranspiration (ET), crop water stress index (CWSI), and normalized difference vegetation index (NDVI) to delineate site-specific irrigation management zones in almond orchards. Scientia Horticulturae: v. 339 p. 113860
• Sapkota, A., Verdi, A., Scudiero, E., Montazar, A. (2024) Assessing the effectiveness of satellite and UAV-based remote sensing for delineating alfalfa management zones under heterogeneous rootzone soil salinity. Smart Agricultural Technology: v. 9 p. 100583
• Singh, A., Verdi, A., Haver, D., Sapkota, A., Iradukunda, J. C. (2024) Using a soil moisture sensor-based smart controller for autonomous irrigation management of hybrid bermudagrass with recycled water in coastal Southern California. Agricultural Water Management: v. 299 p. 108906
• Sapkota, A., Haghverdi, A., Merhaut, D. (2023) Effects of deficit irrigation on canopy temperature dynamics and physiology of landscape groundcovers. HortScience: v. 58 i. 11 p. 1321-1331
• Sapkota, A., Haghverdi, A., Merhaut, D., Singh, A., Iradukunda, J. C. (2023) Response of landscape groundcovers to deficit irrigation: An assessment based on normalized difference vegetation index and visual quality rating. HortScience: v. 58 i. 3 p. 274-285
• Garg, A., Sapkota, A., Haghverdi, A. (2022) SAMZ-Desert: A Satellite-based agricultural management zoning tool for the desert agriculture region of southern California. Computers and Electronics in Agriculture: v. 194 p. 106803
• Bicego, B., Sapkota, A., Torrion, J. (2019) Differential nitrogen and water impacts on yield and quality of wheat classes. Agronomy Journal: v. 111 i. 6 p. 2792--2803
• Sapkota, A., Meccage, E., Stougaard, R., Bicego, B., Torrion, J. (2019) Applied boron increases alfalfa petiole boron concentration across water regimes, not yield. Agronomy Journal: v. 111 i. 6 p. 3220--3229
• Sapkota, A., Meccage, E., Stougaard, R., Tanner, J., Peterson, D. M., Torrion, J. (2018) Boron fertilization of irrigated alfalfa in Montana. Crop, Forage & Turfgrass Management: v. 4 i. 1 p. 1-8

Dr. Ricardo Pinto

• Pinto, R. L., DuPont, T. (2025) Can a pest monitoring network promote the use of integrated pest management? A case study on pear psylla in the Pacific Northwest. Journal of Integrated Pest Management: v. 16 i. 1
• Reavey, C., Domingues, F., Ercit, K., Pinto, R. L., Naish, N., Yadav, M., Matzen, K. (2025) Field Performance of a Self-Limiting, Genetically Engineered Fall Armyworm for Biological Pest Management. Frontiers in Agronomy
• Pinto, R. L., Pinhal, C. V., Fernandes, O. A., Rosalen, D. L. (2025) Optimal flight height and spectral indices for detecting insectinjury in peanut crops using UAS. International Journal of Remote Sensing
• Pinto, R. L., Fernandes, O. A. (2024) Successful management of Stegasta bosqueella (Lepidoptera Gelechiidae) in peanut with an attract-and-kill strategy. Pest Management Science
• Pinto, R. L., Fernandes, O. A., Higley, L. G., Peterson, R. (2022) Do patterns of insect mortality in temperate and tropical zones have broader implications for insect ecology and pest management?. PeerJ: v. 10
• Pinto, R. L., Fernandes, O. A. (2020) Parasitism capacity of Telenomus remus and Trichogramma pretiosum on eggs of moth pests of peanut. Bulletin of Insectology: v. LXXIII
• Pinto, R. L., Powell, S., Peterson, R., Rosalen, D., Fernandes, O. A. (2020) Detection of Defoliation Injury in Peanut with Hyperspectral Proximal Remote Sensing. Remote Sensing: v. 12
• Pinto, R. L., Boiça Junior, A., Fernandes, O. A. (2020) Biology, Ecology, and Management of Rednecked Peanutworm (Lepidoptera: Gelechiidae). Journal of Integrated Pest Management: v. 11
• Pinto, R. L., Torres, A. F., Truzi, C. C., Vieira, N. F., Vacari, A. M., Bortoli, S. A. (2019) Artificial corn-based diet for rearing Spodoptera frugiperda (Lepidoptera: Noctuidae). Journal of Insect Science: v. 19
• Silva, J. G., Brito, C. H., Oliveira, R., Corsato, C., Gonzaga, K. S., Pinto, R. L., Silva, J. G. (2019) Population fluctuation of fruit flies (Diptera: Tephritidae) in domestic orchards in the paraíba swamp region, Brazil. Journal of Experimental Agriculture International

Dr. Ali Bazrafkan

• Bazrafkan, A., Hoyos‐Villegas, V. (2026) Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery. The Plant Phenome Journal: v. 9 i. 1
• Bazrafkan, A., Worral, H., Bandillo, N., Flores, P. (2025) Multispectral data and random forest model outperform deep learning in predicting lentil maturity using UAS imagery. JOURNAL OF AGRICULTURE AND FOOD RESEARCH
• Navasca, H., Bazrafkan, A., Dalprá Dariva, F., Bandillo, N. (2025) Improving estimation of days to maturity in field pea using RGB aerial imagery and machine learning. The Plant Phenom Journal
• Bazrafkan, A., Worral, H., Perdigon, C., Oduor, P., Bandillo, N., Flores, P. (2025) Evaluating Sensor Fusion and Flight Parameters for Enhanced Plant Height Measurement in Dry Peas. SENSORS
• Bazrafkan, A., Worral, H., Bandillo, N., Flores, P. (2025) Enhancing yield and protein content estimation in dry peas through multispectral data integration and ensemble learning model. PLANT PHENOME JOURNAL
• Bazrafkan, A., Kim, J., Proulx, R., Lin, Z. (2025) Automated Detection of Center-Pivot Irrigation Systems from Remote Sensing Imagery Using Deep Learning. REMOTE SENSING
• Bazrafkan, A., Worral, H., Bandillo, N., Flores, P. (2025) Accurate plant height estimation in pulse crops through integration of LiDAR, multispectral information, and machine learning. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
• Bazrafkan, A., Navasca, H., Worral, H., Oduor, P., Delavarpour, N., Bandillo, N., Flores, P. (2024) Predicting lodging severity in dry peas using UAS-mounted RGB, LIDAR, and multispectral sensors. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
• Bazrafkan, A., Navasca, H., Kim, J., Princy , J., Bandillo, N., Flores, P. (2023) Predicting Dry Pea Maturity Using Machine Learning and Advanced Sensor Fusion with Unmanned Aerial Systems (UASs). REMOTE SENSING
• Bazrafkan, A., Cannayen, I., Bandillo, N., Flores, P. (2025) Optimizing integration techniques for UAS and satellite image data in precision agriculture - a review. FRONTIERS IN REMOTE SENSING