S1069: Research and Extension for Unmanned Aircraft Systems (UAS) Applications in U.S. Agriculture and Natural Resources

(Multistate Research Project)

Status: Active

SAES-422 Reports

07/27/2022

06/21/2023

Publications:



  1. Kassim, Y.B.; Oteng-Frimpong, R.; Puozaa, D.K.; Sie, E.K.; Abdul Rasheed, M.; Abdul Rashid, I.; Danquah, A.; Akogo, D.A.; Rhoads, J.; Hoisington, D.; Burow, M.D., and Balota, M. 2022. High-Throughput Plant Phenotyping (HTPP) in Resource-Constrained Research Programs: A Working Example in Ghana. Agronomy (MDPI), 12, 2733.

  2. Sarkar, S., Oakes, J., Cazenave, A.B., Burow, M.D., Bennett, R.S., Chamberlin, K. D., Wang, N., White, M., Payton, P., Mahan, J., Chagoya, J., Sung, C-J., McCall, D.S., Thomason, T.E., and Balota, M. 2022. Evaluation of the U.S. peanut germplasm mini-core collection in the Virginia-Carolina region using traditional and high-throughput methods. Agronomy (MDPI) 12(8), 1945

  3. Chapu, I., Okello, D.K., Okello, R.C.O., Odong, T.L., Sarkar, S., and Balota, M. 2022. Exploration of alternative approaches to phenotyping of late leaf spot and groundnut rosette virus disease for groundnut breeding. Front. Plant Sci., 13: 912332, doi: 10.3389/fpls.2022.912332. (915 views, 7/21/2022).

  4. Sie, E.K., Oteng-Frimpong, R., Kassim, Y.B., Puozaa, D.K., Adjebeng-Danquah, J., Masawudu, A.R., Ofori, K., Danquah, A., Cazenave, A.B., Hoisington, D., Rhoads J., and Balota, M. 2022. RGB-image method enables indirect selection for leaf spot resistance and yield estimation in a groundnut breeding program in Western Africa, Front. Plant Sci., 13:901561

  5. Molaei, B., A. K. Chandel, R. Troy Peters, R. Khot, A. Khan, F. Maureira, and C. Stockle. 2023. Investigating the application of artificial hot and cold reference surfaces for improved ETc estimation using the UAS-METRIC energy balance model. Agricultural Water Management, 284, 108346. https://doi.org/10.1016/j.agwat.2023.108346.

  6. Chandel, A.K., A.P. Rathnayake, and R. Khot. 2022. Mapping apple canopy attributes using aerial multispectral imagery for precision crop inputs management. Acta Horticulturae. 1346, 537-546, https://10.17660/ActaHortic.2022.1346.68

  7. Molaei, B., A. Chandel, R.T. Peters*, R. Khot, and J.Q. Vargas.  2022.  Investigating lodging in Spearmint with overhead sprinklers compared to drag hoses using the texture feature from low altitude RGB imagery. Information Processing in Agriculture, 9(2): 335-341 https://doi.org/10.1016/j.inpa.2021.02.003

  8. Molaei, B., R.T. Peters*, R. Khot, and C. Stockle. 2022. Assessing suitability of auto-selection of hot and cold anchor pixels of the UAS-metric model for developing crop water use maps. Remote Sensing, 14(18), 4454; https://doi.org/10.3390/rs14184454

  9. Chandel, A. K., Amogi, B., Khot, L., Stockle, C. O., and R. T. Peters. 2022. Digitizing Crop Water Use with Data-Driven Approaches. Resource Magazine, 29(4), 14--16.

  10. Amogi, B., J. Schrader, Khot, and G.-A. Hoheisel. 2023. Decision support tools for frost mitigation. Washington State University – Fruit Matters, March 2023. https://treefruit.wsu.edu/article/frost-mitigation/

  11. Sharma, P., Leigh, L., Chang, J., Maimaitijiang, M., & Caffé, M. (2022). Above-ground biomass estimation in oats using UAV remote sensing and machine learning. Sensors22(2), 601.

  12. Dilmurat, K., Sagan, V., Maimaitijiang, M., Moose, S., & Fritschi, F. B. (2022). Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data. Remote Sensing14(19), 4786.

  13. Maimaitijiang M., Millett, B., Paheding S., Khan SN., Dilmurat K., Reyes A., Kovács P. (2023). Estimating crop grain yield and seed composition using deep learning from UAV multispectral data. 2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

  14. Khan SN., Maimaitijiang M., Millett, B., Paheding S., Li DP., Caffé M., Kovács P. (2023). Simultaneously estimating crop yield and seed composition using multitask learning from UAV multispectral data. 2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS.


Technical Presentations/Abstracts



  1. Cann, M. D., B. R. Amogi, S. Gorthi, G. A. Hoheisel, and L. R. Khot. 2022. Observing and Forecasting Near-Surface Temperature Inversions for Effective frost Mitigation in Central WA Perennial Specialty Crops. American Meteorological Society 20th Conference on Mountain Meteorology, June 27 - July 2, 2022. (Oral Presentationhttps://ams.confex.com/ams/20MOUNTAIN/meetingapp.cgi/Paper/402770 

  2. Chandel, A.K., L.R. Khot, V. Blanco, L. Kalcsits, N.E. Kilham, and S. Mantle. 2022. Multi-scale remote sensing data driven water use and stress mapping of apple trees. Paper No. 2201120 (Oral Presentation), ASABE Annual International Meeting 2022, Houston, Texas, USA, July 17-20, 2022.

  3. Molaei, B., Peters, R.T., Chandel, A.K., Khot, L.R., Stockle, C.O., 2022. Investigating practical artificial hot and cold reference surfaces for improved ET estimation using UAS-METRIC energy balance model. Paper No. 2200629 (Oral Presentation). ASABE Annual International Meeting 2022, Houston, Texas, USA, July 17-20, 2022 (Awarded as best oral presentation paper).



  1. Chandel, A.K., Khot, L.R., Peters, T.R., Stöckle, C.O., Mantle, S., Kalcsits, L., Blanco, V., Kilham, N.E., 2022. Multi-scale remote sensing and energy balance modeling for geospatial evapotranspiration mapping of apple trees. Envisioning 2050 in the Southeast: AI-Driven Innovations in Agriculture. Auburn University, AL, USA, March 9-11, 2022.

  2. Amogi, B. R., M. D. Cann, G. S. Kothawade, S. R. Gorthi, K. Yumnam, G.-A. Hoheisel, and L. R. Khot. 2022. Drone based temperature inversion profile mapping for understanding the effectiveness of wind machine-based frost mitigation in fruit crops. Paper No. 2201213, ASABE 2022 Annual International Meeting, Houston, TX, July 17-20, 2022 (Oral Presentation).

  3. Schrader, M.J., R. K. Sahni, and L. R. Khot. 2022. Row-aligned vs. cross-row low-altitude aerial spray applications in modern vineyards. Poster presentation, Washington State Grapes Society (WSGS) Annual Meeting, Grandview, WA. November 17-18, 2022. Participants: ~ 75.


Extension Outreach talks



  1. (Invited) Talk on “Digital agriculture and drones”, Spokane Ag Expo and Pacific NW Farm Forum, Spokane, WA. February 7, 2023. Time: 60 min. Participants: ~40.

  2. Talk and discussion on “Smart orchard learnings from 3 years”, Columbia Basic Tree Fruit Club Meeting, Kennewick, WA. January 24, 2023. Time: 30 min. Participants: ~15.

  3. Talk on “Smart orchard: Tools to monitor crop water use”, 76th Annual Lake Chelan Horticultural Meeting, Chelan WA. January 21, 2023. Time: 30 min. Participants: ~95.

  4. (Invited) Talk on “Crop protection technologies for modern orchard systems”, New Frontiers Conference on Targeted Solutions in Crop Protection for Sustainable Agriculture, Corteva Campus, Indianapolis, IN. October 13, 2022. Time: 30 min. Participants: 80 (combined in-person & virtual).

  5. (Invited) Talk on “Drones & Washington Agriculture”, AUVSI Cascade Symposium on Drones, Droids, and Uncrewed systems, Walla Walla, WA. May 25, 2022. Time: 30 min, Participants: ~55.


Teaching


                BYSE 551: UAS in Ag (2 credits) Spring 2023


Datasets:


Killian, E., Lachowiec, J., Sherman, J., Lutgen G., Eberly, J. 2023. High resolution aerial imagery of barley over a growing season. Dryad, Dataset, https://doi.org/10.5061/dryad.bk3j9kdhp

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