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ARS Home » Plains Area » College Station, Texas » Southern Plains Agricultural Research Center » Aerial Application Technology Research » Research » Research Project #438007

Research Project: Improved Aerial Application Technologies for Precise and Effective Delivery of Crop Production Products

Location: Aerial Application Technology Research

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

A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval Reprint Icon - (Peer Reviewed Journal)
Zhang, J., Sun, B., Yang, C., Wang, C., You, Y., Zhou, G., Liu, B., Wang, C., Kuai, J., Xie, J. 2022. A novel composite vegetation index including solar-induced chlorophyll fluorescence for seedling rapeseed net photosynthesis rate retrieval. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2022.107031.

Winter wheat nitrogen estimation based on ground-level and UAV-mounted sensors Reprint Icon - (Peer Reviewed Journal)
Song, X., Yang, G., Xu, X., Zhang, D., Yang, C., Feng, H. 2022. Winter wheat nitrogen estimation based on ground-level and UAV-mounted sensors. Sensors. https://doi.org/10.3390/s22020549.

Spray drift potential of dicamba plus S-metolachlor formulations Reprint Icon - (Peer Reviewed Journal)
Vieira, B., Alves, G., Vukoja, B., Vinicius, V., Zaric, M., Houston, T., Fritz, B.K., Kruger, G. 2022. Spray drift potential of dicamba plus S-metolachlor formulations. Pest Management Science. https://doi.org/doi 10.1002/ps.6772.

Standardizing agricultural spray droplet size distributions - (Peer Reviewed Journal)

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing Reprint Icon - (Peer Reviewed Journal)
Wang, T., Mei, X., Thomasson, A., Yang, C., Han, X., Yadav, P., Shi, Y. 2021. GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing. Computers and Electronics in Agriculture. 193. Article 106629. https://doi.org/10.1016/j.compag.2021.106629.

A field program to determine the spray distribution of unmanned aerial spray systems and the development of larvicide systems for vector control - (Peer Reviewed Journal)

Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress Reprint Icon - (Peer Reviewed Journal)
Jiang, Z., Tu, H., Bai, B., Yang, C., Zhao, B., Guo, Z., Liu, Q., Zhao, H., Yang, W., Xiaon, L., Zhang, J. 2021. Combining UAV-RGB high-throughput field phenotyping and genome-wide association study to reveal genetic variation of rice germplasms in dynamic response to drought stress. New Phytologist. 232(1):440-455. https://doi.org/10.1111/nph.17580.

Crop height estimation based on UAV images: methods, errors, and strategies Reprint Icon - (Peer Reviewed Journal)
Xie, T., Li, J., Yang, C., Jiang, Z., Chen, Y., Guo, L., Zhang, J. 2021. Crop height estimation based on UAV images: Methods, errors, and strategies. Computers and Electronics in Agriculture. 185:106155. https://doi.org/10.1016/j.compag.2021.106155.

Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter Reprint Icon - (Peer Reviewed Journal)
Sun, B., Wang, C., Yang, C., Xu, B., Kuai, J., Li, X., Xu, S., Liu, B., Xie, T., Zhou, G., Zhang, J. 2021. Retrieval of rapeseed leaf area index using the PROSAIL model with canopy coverage derived from UAV images as a correction parameter. International Journal of Applied Earth Observation and Geoinformation. 102:1-10. https://doi.org/10.1016/j.jag.2021.102373.

Utilization of unmanned aerial systems in mosquito and vector control programs Reprint Icon - (Peer Reviewed Journal)
Faraji, A., Sorensen, B., Haas-Stapleton, E., Scholl, M., Goodman, B., Buettner, J., Schon, S., Ortiz, E., Hartle, J., Lefkow, N., Lewis, C., Fritz, B.K., Hoffmann, W., Williams, G. 2021. Utilization of unmanned aerial systems in mosquito and vector control programs. Journal of Economic Entomology. 114(5):1896-1909. https://doi.org/10.1093/jee/toab107.

Comparison of Sentinel-2, Landsat, and airborne imagery for identification of cotton fields for boll weevil eradication - (Proceedings)
Yang, C., Suh, C.P. 2021. Comparison of Sentinel-2, Landsat, and airborne imagery for identification of cotton fields for boll weevil eradication. National Cotton Council Beltwide Cotton Conference. pp. 234-239. CD-ROM.

Identification of cotton root rot by multifeature selection from Sentinel-2 images using random forest Reprint Icon - (Peer Reviewed Journal)
Li, X., Yang, C., Huang, W., Tang, J., Tian, Y., Zhang, Q. 2020. Identification of cotton root rot by multifeature selection from Sentinel-2 images using random forest. Remote Sensing. 12:3504. https://doi.org/10.3390/rs12213504.

Rapeseed stand count estimation at leaf development stages with UAV imagery and convolutional neural networks Reprint Icon - (Peer Reviewed Journal)
Zhang, J., Biquan, Z., Yang, C., Yeyin, S., Qingxi, L., Guanscheng, Z., Chufeng, W., Tianjin, X., Zhao, J., Dongyan, Z., Wanneng, Y., Chenglong, H., Jing, X. 2020. Rapeseed stand count estimation at leaf development stages with UAV imagery and convolutional neural networks. Frontiers in Plant Science. 11:617. https://doi.org/10.3389/fpls.2020.00617.

Assessing the effect of real spatial resolution of in situ UAV multispectral images on seedling rapeseed growth monitoring Reprint Icon - (Peer Reviewed Journal)
Zhang, J., Wang, C., Yang, C., Xie, T., Jiang, Z., Hu, T., Luo, Z., Zhou, G., Xie, J. 2020. Assessing the effect of real spatial resolution of in situ UAV multispectral images on seedling rapeseed growth monitoring. Remote Sensing. 12:1207. https://doi.org/10.3390/rs12071207.

Unmanned aerial vehicle remote sensing to delineate cotton root rot Reprint Icon - (Peer Reviewed Journal)
Wang, T., Thomasson, A., Yang, C., Isakeit, T., Nichols, R.L., Collett, R.M., Han, X., Bagnall, C. 2020. Unmanned aerial vehicle remote sensing to delineate cotton root rot. Journal of Applied Remote Sensing (JARS). 14(3):034522-1. https://doi.org/10.1117/1.jrs.14.034522.

A plant-by-plant-level cotton root rot identification method based on UAV remote sensing Reprint Icon - (Peer Reviewed Journal)
Wang, T., Thomasson, A., Isakeit, T., Yang, C. 2020. A plant-by-plant-level cotton root rot identification method based on UAV remote sensing. Remote Sensing. 12:2453. https://doi.org/10.3390/rs12152453.

Aerial application methods for control of weed species in fallow farmlands in Texas - (Peer Reviewed Journal)
Martin, D.E., Latheef, M.A., Lopez, J., Duke, S.E. 2020. Aerial application methods for control of weed species in fallow farmlands in Texas. Agronomy Journal. 10:11.

Spray deposition on weeds (Palmer amaranth and Morningglory) from a remotely piloted aerial application system and backpack sprayer Reprint Icon - (Peer Reviewed Journal)
Martin, D.E., Singh, V., Latheef, M.A., Bagavathiannan, M.V. 2020. Spray deposition on weeds (Palmer amaranth and Morningglory) from a remotely piloted aerial application system and backpack sprayer. Drones. 4(3):59. https://doi.org/10.3390/drones4030059.

Remote sensing technologies for crop disease and pest detection - (Book / Chapter)

Automatic estimation of crop disease severity levels based on vegetation index normalization Reprint Icon - (Peer Reviewed Journal)
Zhao, H., Yang, C., Guo, W., Zhang, L., Zhang, D. 2020. Automatic estimation of crop disease severity levels based on vegetation index normalization. Remote Sensing. 12:1930. https://doi.org/10.3390/rs12121930.