Research Project: Application Technologies to Improve the Effectiveness of Chemical and Biological Crop Protection Materials

Location: Crop Production Systems Research

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

An open-sourced web application for aerial applicators to avoid spray drift caused by temperature inversion - (Peer Reviewed Journal)
Huang, Y., Fisher, D.K. 2021. An open-sourced web application for aerial applicators to avoid spray drift caused by temperature inversion. Applied Engineering in Agriculture. 37(1): 77-87. https://doi.org/10.13031/aea.13841.

Comparative evaluation of poultry-human and poultry-robot avoidance distances - (Peer Reviewed Journal)
Parajuli, P., Huang, Y., Tabler, T., Purswell, J.L., Dubien, J.L., Zhao, Y. 2020. Comparative evaluation of poultry-human and poultry-robot avoidance distances. Transactions of the ASABE. 63(2):477-484. https://doi.org/10.13031/trans.13644.

Evaluating convolutional neural networks for cage-free floor egg detection - (Peer Reviewed Journal)
Li, G., Xu, Y., Zhao, Y., Du, Q., Huang, Y. 2020. Evaluating convolutional neural networks for cage-free floor egg detection. Sensors. 20:332. https://doi.org/10.3390/s20020332.

Monitor cotton budding using SVM and UAV images - (Peer Reviewed Journal)
Xia, L., Zhang, R., Chen, L., Huang, Y., Xu, G., Wen, Y., Yi, T. 2019. Monitor cotton budding using SVM and UAV images. Applied Sciences. 9(4312): 1-13. https://doi.org/10.3390/app9204312.

Machine learning-based spectral library for crop classification and status monitoring - (Peer Reviewed Journal)
Zhang, J., He, Y., Yuan, L., Zhou, X., Huang, Y. 2019. Development of a plant spectral library for crop classification and status monitoring. Agronomy. 9, 496. https://doi.org/10.3390/agronomy9090496.

Monitoring plant diseases and insects with remote sensing technology: A review - (Review Article)
Zhang, J., Huang, Y., Pu, R., Gonzalez-Moreno, P., Wu, K., Huang, W. 2019. Monitoring plant diseases and insects with remote sensing technology: A review. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2019.104943.

A web guide system for aerial application to avoid off-target drift caused by temperature inversion through open-source weather stations - (Proceedings)
Huang, Y., Fisher, D.K. 2019. A web guide system for aerial application to avoid off-target drift caused by temperature inversion through open-source weather stations. Proceedings of the American Society of Agricultural and Biological Engineers International (ASABE). Paper No. 1900193, pp 7.

Assessing crop damage from dicamba on non-dicamba-tolerant soybean by hyperspectral imaging through machine learning - (Peer Reviewed Journal)
Zhang, J., Huang, Y., Reddy, K.N., Wang, B. 2019. Assessing crop damage from dicamba on non-dicamba-tolerant soybean by hyperspectral imaging through machine learning. Pest Management Science. 75:3260-3272.

A new spray deposition pattern measurement system based on spectral analysis of a fluorescent tracer - (Peer Reviewed Journal)
Wen, Y., Zhang, R., Chen, L., Huang, Y., Yi, T., Xu, G. 2019. A new spray deposition pattern measurement system based on spectral analysis of a fluorescent tracer. Computers and Electronics in Agriculture. 160:14-22.

Near-real-time flood forecasting based on satellite precipitation products - (Peer Reviewed Journal)
Belabid, N., Zhao, F., Brocca, L., Huang, Y., Tan, Y. 2019. Near-real-time flood forecasting based on satellite precipitation products. Remote Sensing. 11(252):1-18. https://doi.org/10.3390/rs11030252.

Comparing canopy hyperspectral reflectance properties of Palmer amaranth to okra and super-okra leaf cotton - (Peer Reviewed Journal)
Fletcher, R.S., Turley, R.B. 2018. Comparing canopy hyperspectral reflectance properties of Palmer amaranth to okra and super-okra leaf cotton. American Journal of Plant Sciences. 9(13):2708-2718.

A miniature integrated sensor for measuring reflectance, relative humidity, and temperature: A greenhouse example - (Peer Reviewed Journal)
Fletcher, R.S., Fisher, D.K. 2018. A miniature integrated sensor for measuring reflectance, relative humidity, and temperature: A greenhouse example. Agricultural Sciences. 9(11):1516-1527.

Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield - (Peer Reviewed Journal)
Huang, J., Zhuo, W., Dong, J., Tian, L., Huang, Y., Zhang, X. 2020. Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield. International Journal of Digital Earth. 13(4): 504-526.

A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status - (Peer Reviewed Journal)
Zhou, X., Huang, W., Zhang, J., Kong, W., Huang, Y. 2018. A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status. European Journal of Agronomy. 76:128-142. https://doi.org/10.1016/j.jag.2018.10.012.

Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method. - (Peer Reviewed Journal)
Zhao, F., Li, R., Verhoef, W., Cogliati, S., Liu, X., Huang, Y., Guo, Y. 2018. Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method. Remote Sensing of Environment. 219:233-246.

Optimal irrigation mode and spatio-temporal variability characteristics of soil moisture content in different growth stages of winter wheat - (Peer Reviewed Journal)
Yang, Y., Huang, Y., Zhang, Y. 2018. Optimal irrigation mode and spatio-temporal variability characteristics of soil moisture content in different growth stages of winter wheat. Water. 10:9. https://doi.10.3390/w10091180.

Using hyperspectral data in precision farming applications - (Book / Chapter)
Yao, H., Huang, Y., Tang, L., Tian, L., Bhatnagar, D., Cleveland, T.E. 2018. Using hyperspectral data in precision farming applications. In: Thenkabail, P.S., Lyon, J.G., editors. Hyperspectral Remote Sensing of Vegetation. 1st Edition. Boca Raton, Florida: CRC Press. https://doi.org/10.1201/b11222.

Hyperspectral imaging for differentiating glyphosate-resistant and glyphosate-susceptible Italian Ryegrass - (Peer Reviewed Journal)
Huang, Y., Lee, M.A., Nandula, V.K., Reddy, K.N. 2018. Hyperspectral imaging for differentiating glyphosate-resistant and glyphosate-susceptible Italian Ryegrass. American Journal of Plant Sciences. 9:1467-1477.

Advancing to the next generation precision agriculture - (Book / Chapter)
Huang, Y., Brown, M. 2018. Advancing to the next generation precision agriculture. In Serraj, R., Pingali, P., editors. Agriculture and Food Systems to 2050 – Global Trends, Challenges and Opportunities. Singapore, Phillipines: World Scientific. p. 285-314. https://doi.org/10.1142/11212.

Geographic information system for pigweed distribution in the US Southeast - (Peer Reviewed Journal)
Fletcher, R.S., Reddy, K.N. 2018. Geographic information system for pigweed distribution in the US Southeast. Weed Technology. 32:20-26.

Agricultural remote sensing big data: Management and applications - (Peer Reviewed Journal)
Huang, Y., Chen, Z., Yu, T., Huang, X., Gu, X. 2018. Agricultural remote sensing big data: Management and applications. Journal of Integrative Agriculture. 17(9): 1915-1931.

Employing canopy hyperspectral narrowband data and random forest algorithm to differentiate palmer amaranth from colored cotton - (Peer Reviewed Journal)
Fletcher, R.S., Turley, R.B. 2017. Employing canopy hyperspectral narrowband data and random forest algorithm to differentiate palmer amaranth from colored cotton. American Journal of Plant Sciences. 8:3258-3271.

UAV low-altitude remote sensing for precision weed management - (Peer Reviewed Journal)
Huang, Y., Reddy, K.N., Fletcher, R.S., Pennington, D. 2018. UAV low-altitude remote sensing for precision weed management. Weed Technology. 32:2-6.

Detection of corn and weed species by the combination of spectral, shape and textural features - (Peer Reviewed Journal)
Lin, F., Zhang, D., Huang, Y., Wang, X., Chen, X. 2017. Detection of corn and weed species by the combination of spectral, shape and textural features. Sustainability. 9(8):1-14.

The application of flexible unmanned aerial vehicle remote sensing for field-based crop phenotyping: Current status and perspectives - (Review Article)
Yang, G., Liu, J., Li, Z., Huang, Y., Yu, H., Xu, B., Yang, X., Zhu, D., Zhang, X., Zhang, R. 2017. The application of flexible unmanned aerial vehicle remote sensing for field-based crop phenotyping: Current status and perspectives. Frontiers in Plant Science. 8:1-26.

Noise-resistant spectral features for retrieving foliar chemical parameters - (Peer Reviewed Journal)
Zhang, J., Huang, Y., Liu, P., Yuan, L., Wu, K. 2017. Noise-resistant spectral features for retrieving foliar chemical parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(12):5368-5380.

Integrating remote sensing, GIS and dynamic models for landscape-level simulation of forest insect disturbance - (Peer Reviewed Journal)
Lu, L., Li, X., Huang, Y., Qin, Y., Huang, H. 2017. Integrating remote sensing, GIS and dynamic models for landscape-level simulation of forest insect disturbance. Ecological Modeling. 354:1-10.

Atmospheric stability determination at different time intervals for determination of aerial application timing - (Peer Reviewed Journal)
Huang, Y., Thomson, S. 2016. Atmospheric stability determination at different time intervals for determination of aerial application timing. Journal of Biosystems Engineering. 41(4):337-341.

Using vegetation indices as input into ramdom forest for soybean and weed classification - (Peer Reviewed Journal)
Fletcher, R.S. 2016. Using vegetation indices as input into ramdom forest for soybean and weed classification. American Journal of Plant Sciences. 7:2186-2198.

FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy - (Peer Reviewed Journal)
Zhao, F., Dai, X., Verhoef, W., Guo, Y., Tol, C., Li, Y., Huang, Y. 2016. FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy. Remote Sensing of Environment. 187:385-399.

Spectral discrimination of two pigweeds from cotton with different leaf colors - (Peer Reviewed Journal)
Fletcher, R.S., Reddy, K.N., Turley, R.B. 2016. Spectral discrimination of two pigweeds from cotton with different leaf colors. American Journal of Plant Sciences. 7:2138-2150.

Cotton yield estimation using very high-resolution digital images acquired on a low-cost small unmanned aerial vehicle - (Peer Reviewed Journal)
Huang, Y., Brand, H., Sui, R., Thomson, S.J., Furukawa, T., Ebelhar, M.W. 2017. Cotton yield estimation using very high-resolution digital images acquired on a low-cost small unmanned aerial vehicle. Transactions of the ASABE. 59(6):1563-1574.

Random forest and leaf multispectral reflectance data to differentiate three soybean varieties from two pigweeds - (Peer Reviewed Journal)
Fletcher, R.S., Reddy, K.N. 2016. Random forest and leaf multispectral reflectance data to differentiate three soybean varieties from two pigweeds. Computers and Electronics in Agriculture. 128:199-206.

Detection of wheat powdery mildew by differentiating background factors using hyperspectral imaging - (Peer Reviewed Journal)
Zhang, D., Lin, F., Huang, Y., Zhang, L. 2016. Detection of wheat powdery mildew by differentiating background factors using hyperspectral imaging. International Journal of Agriculture and Biology. 18:747-756.

In-situ plant hyperspectral sensing for early detection of soybean injury from dicamba - (Peer Reviewed Journal)
Huang, Y., Yuan, L., Reddy, K.N., Zhang, J. 2016. In-situ plant hyperspectral sensing for early detection of soybean injury from dicamba. Biosystems Engineering. 149:51-59.

Development of low-altitude remote sensing systems for crop production management - (Peer Reviewed Journal)
Huang, Y., Thomson, S.J., Brand, H.J., Reddy, K.N. 2016. Development of low-altitude remote sensing systems for crop production management. International Journal of Agricultural and Biological Engineering. 9(4):1-11.

Ground-based hyperspectral remote sensing for weed management in crop production - (Peer Reviewed Journal)
Huang, Y., Lee, M.A., Thomson, S.J., Reddy, K.N. 2016. Ground-based hyperspectral remote sensing for weed management in crop production. International Journal of Agricultural and Biological Engineering. 9(2):98-109.

Testing leaf multispectral reflectance data as input into random forest to differentiate velvetleaf from soybean - (Peer Reviewed Journal)
Fletcher, R.S. 2015. Testing leaf multispectral reflectance data as input into random forest to differentiate velvetleaf from soybean. American Journal of Plant Sciences. 6:3193-3204.

Identification of seedling cabbages and weeds using hyperspectral imaging - (Peer Reviewed Journal)
Deng, W., Huang, Y., Zhao, C., Wang, X. 2015. Identification of seedling cabbages and weeds using hyperspectral imaging. International Journal of Agricultural and Biological Engineering. 8(5):65-72.

Quantitative estimation of the fluorescent parameters for crop leaves with the Bayesian inversion - (Peer Reviewed Journal)
Zhao, F., Guo, Y., Huang, Y., Zhao, H., Liu, G. 2015. Quantitative estimation of the fluorescent parameters for crop leaves with the Bayesian inversion. Remote Sensing. 7:14179-14199.

Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation - (Peer Reviewed Journal)
Huang, J., Sedano, F., Huang, Y., Ma, H., Li, X., Liang, S., Tian, L., Wu, W. 2015. Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation. Agricultural and Forest Meteorology. 216:188-202.

Unmanned aerial vehicle: A unique platform for low-altitude remote sensing for crop management - (Proceedings)
Huang, Y., Reddy, K.N. 2015. Unmanned aerial vehicle: A unique platform for low-altitude remote sensing for crop management. Proceedings of the Plenary and Lead Papers of the 25th Asian-Pacific Weed Science Society Conference. Volume 1:185-192.

Remote sensing of selected winter and spring host plants of tarnished plant bug (Heteroptera: Miridae) and herbicide use strategies as a management tactic - (Peer Reviewed Journal)
Sudbrink, D.L., Thomson, S.J., Fletcher, R.S., Harris, A., English, P.J., Robbins, J.T. 2015. Remote sensing of selected winter and spring host plants of tarnished plant bug (Heteroptera: Miridae) and herbicide use strategies as a management tactic. American Journal of Plant Sciences. 6:1313-1327.

Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model - (Peer Reviewed Journal)
Huang, J., Tian, L., Liang, S., Becker-Reshef, I., Huang, Y., Su, W., Fan, J., Wu, W. 2015. Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model. Agricultural and Forest Meteorology. 204:106-221.

Jointly assimilating MODIS LAI and ET products into SWAP model for winter wheat yield estimation - (Peer Reviewed Journal)
Huang, J., Ma, H., Wei, S., Zhang, X., Huang, Y., Liu, J., Fan, J. 2015. Jointly assimilating MODIS LAI and ET products into SWAP model for winter wheat yield estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(8): 4060-4071.

Detection of the onset of glyphosate-induced soybean plant injury through chlorophyll fluorescence signal extraction and measurement - (Peer Reviewed Journal)
Zhao, F., Guo, Y., Huang, Y., Reddy, K.N., Zhao, Y., Molin, W.T. 2015. Detection of the onset of glyphosate-induced soybean plant injury through chlorophyll fluorescence signal extraction and measurement. Journal of Applied Remote Sensing (JARS). 9(1):1-12.

Relationships between microsclerotia content and hyperspectral reflectance data in soybean tissue infected by Macrophomina phaseolina - (Peer Reviewed Journal)
Fletcher, R.S., Smith, J.R., Mengistu, A., Ray, J.D. 2014. Relationships between microsclerotia content and hyperspectral reflectance data in soybean tissue infected by Macrophomina phaseolina. American Journal of Plant Sciences. 5:3737-3744.

First report of resistence to acetolactate synthase inhibiting herbicides in yellow nutsedge (Cyperus esculentus): confirmation and characterization - (Peer Reviewed Journal)
Tehranchian, P., Norsworthy, J.K., Nandula, V.K., Mcelroy, S., Chen, S., Scott, R.C. 2014. First report of resistence to acetolactate synthase inhibiting herbicides in yellow nutsedge (Cyperus esculentus): confirmation and characterization. Pest Management Science. 71(9):1274-1280.