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ARS Home » Southeast Area » Stoneville, Mississippi » Crop Production Systems Research » Research » Research Project #437825

Research Project: Using Aerial Application and Remote Sensing Technologies for Targeted Spraying of Crop Protection Products

Location: Crop Production Systems Research

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

Comparing Pan-Sharpening Algorithms to Access an Agriculture Area: A Mississippi Case Study Reprint Icon - (Peer Reviewed Journal)
Fletcher, R.S. 2023. Comparing Pan-Sharpening Algorithms to Access an Agriculture Area: A Mississippi Case Study. Agricultural Sciences. Agricultural Sciences, 14, 1206-1221. https://doi.org/10.4236/as.2023.149081.

Machine learning mapping of soil electrical conductivity in mississippi Reprint Icon - (Peer Reviewed Journal)
Fletcher, R.S. 2023. Machine learning mapping of soil electrical conductivity in mississippi. Agricultural Sciences. Vol.14 No.7 July 2023. https://doi.org/10.4236/as.2023.147061.

Temporal comparison of apparent electrical conductivity: A case study on clay and loam soils in Mississippi Reprint Icon - (Peer Reviewed Journal)
Fletcher, R.S. 2022. Temporal comparison of apparent electrical conductivity: A case study on clay and loam soils in Mississippi. Agricultural Sciences. https://doi.org/10.4236/as.2022.138058.

Detection and discrimination of disease and insect stress of tea plants using hyperspectral imaging combined with wavelet analysis. Reprint Icon - (Peer Reviewed Journal)
Zhao, X., Huang, Y., Zhang, J., Yuan, L., Xu, J. 2022. Detection and discrimination of disease and insect stress of tea plants using hyperspectral imaging combined with wavelet analysis.. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2022.106717.

Assessment of cotton and sorghum stand establishment using UAV-based multispectral and DSLR-based RGB imagery Reprint Icon - (Peer Reviewed Journal)
Dhakal, M., Huang, Y., Locke, M.A., Reddy, K.N., Moore, M.T., Krutz, J., Gholson, D., Bajgain, R. 2022. Assessment of cotton and sorghum stand establishment using UAV-based multispectral and DSLR-based RGB imagery. Agrosystems, Geosciences & Environment. 5(2):e20247. https://doi.org/10.1002/agg2.20247.

Agricultural cybernetics Reprint Icon - (Book / Chapter)
Huang, Y., Zhang, Q. 2021. Agricultural cybernetics. Springer Nature Applied Sciences. https://doi.org/10.1007/978-3-030-72102-2.

Classification of broiler behaviors using triaxial accelerometer and machine learning Reprint Icon - (Peer Reviewed Journal)
Yang, X., Zhao, Y., Street, G.M., Huang, Y., To, S., Purswell, J.L. 2021. Classification of broiler behaviors using triaxial accelerometer and machine learning. Animal-The International Journal of Animal Biosciences. https://doi.org/10.1016/j.animal.2021.100269.

Estimation of ecological water supplement for typical bird protection in the Yellow River Delta wetland Reprint Icon - (Peer Reviewed Journal)
Yu, X., Zhu, W., Wei, J., Jia, S., Wang, A., Huang, Y., Zhao, Y. 2021. Estimation of ecological water supplement for typical bird protection in the Yellow River Delta wetland. Ecological Applications. 127. Article 107783. https://doi.org/10.1016/j.ecolind.2021.107783.

Using machine learning and hyperspectral images to assess damages to corn plant caused by glyphosate and to evaluate recoverability Reprint Icon - (Peer Reviewed Journal)
Zhang, T., Huang, Y., Reddy, K.N., Yang, P., Zhang, J. 2021. Using machine learning and hyperspectral images to assess damages to corn plant caused by glyphosate and to evaluate recoverability. Agronomy. 11:583. https://doi.org/10.3390/agronomy11030583.

Testing an open-source multi brand sensor node to monitor variability of environmental conditions inside a greenhouse Reprint Icon - (Peer Reviewed Journal)
Fletcher, R.S., Fisher, D.K. 2021. Testing an open-source multi brand sensor node to monitor variability of environmental conditions inside a greenhouse. Agricultural Sciences. 12(3):159-180. https://doi.org/10.4236/as.2021.123011.

Development and evaluation of an optical sensing system for detection of herbicide spray droplets Reprint Icon - (Peer Reviewed Journal)
Huang, Y., Ma, W., Fisher, D.K. 2021. Development and evaluation of an optical sensing system for detection of herbicide spray droplets. Advances in Internet of Things. 11:1-9. https://doi.org/10.4236/ait.2021.111001.

Assessing hyperspectral vegetation indices responses of six pigweed species Reprint Icon - (Peer Reviewed Journal)
Fletcher, R.S. 2020. Assessing hyperspectral vegetation indices responses of six pigweed species. American Journal of Plant Sciences. 11(12):1934-1948. https://doi.org/10.4236/ajps.2020.1112138.

Assessment of leaf chlorophyll content models for winter wheat using Landsat-8 multispectral remote sensing data Reprint Icon - (Peer Reviewed Journal)
Zhou, X., Zhang, J., Chen, D., Huang, Y., Kong, W., Yuan, L., Ye, H., Huang, W. 2020. Assessment of leaf chlorophyll content models for winter wheat using Landsat-8 multispectral remote sensing data. Remote Sensing. 12(2574):1-18. https://doi.org/http://dx.doi.org/10.3390/rs12162574.

Field evaluation of a Tri-Set spray nozzle for aerial application and discussion on release of biological control agents Reprint Icon - (Peer Reviewed Journal)
Huang, Y., Thomson, S. 2020. Field evaluation of a Tri-Set spray nozzle for aerial application and discussion on release of biological control agents. International Journal of Precision Agricultural Aviation (IJPAA). 3(2):40-47. https://doi.org/10.33440/j.ijpaa.20200302.75.

Research status and applications of nature-inspired algorithms for agri-food production Reprint Icon - (Peer Reviewed Journal)
Huang, Y. 2020. Research status and applications of nature-inspired algorithms for agri-food production. International Journal of Agricultural and Biological Engineering. 13(4):1-9. https://doi.org/10.25165/j.ijabe.20201304.5501.