Zhang, M., C. Li, F. Takeda, and F. Yang. 2017. Detection of internally bruised blueberries using hyperspectral transmittance imaging. Transactions of ASABE, 60(5): 1-14.
Fan, S.X., C. Li, W.Q. Huang, and L.P. Chen. 2017. Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths. Postharvest Biology and Technology. In press.
Zhang, M., C. Li and F. Yang. 2017. Classification of Foreign Matter Embedded inside Cotton Lint using Short Wave Infrared (SWIR) Hyperspectral Transmittance Imaging. Computers and Electronics in Agriculture. 10.1016/j.compag.2017.05.005. In press.
Ozturk, S., Kong, F., Singh, R. K., Kuzy, J. D., & Li, C. 2017. Radio frequency heating of corn flour: Heating rate and uniformity. Innovative Food Science & Emerging Technologies. http://dx.doi.org/10.1016/j.ifset.2017.05.001.
Takeda, F., W. Yang , C. Li, A. Freivalds, K. Sung , R. Xu, B. Hu, J. Williamson and S. Sargent. 2017. Applying New Technologies to Transform Blueberry Harvesting. Agronomy, 7, 33; doi:10.3390/agronomy7020033.
Sun, S., C. Li, and A. H. Paterson. 2017. In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR. Remote Sensing, 9, 377; doi:10.3390/rs9040377.
Kuzy, J. and Li, C., 2017. A Pulsed Thermographic Imaging System for Detection and Identification of Cotton Foreign Matter. Sensors, 17(3), p.518.
Patrick, A., S. Pelham, A. Culbreath, C. Holbrook, I.J.d. Godoy, and C. Li. 2017. High Throughput Phenotyping of Tomato Spot Wilt Disease in Peanuts Using Unmanned Aerial Systems and Multispectral Imaging. IEEE Instrumentation & Measurement Magazine. June 1-10.
Jiang, Y., C. Li, and F. Takeda. 2016. Nondestructive detection and quantification of blueberry bruising using near-infrared (NIR) hyperspectral reflectance imaging. Scientific Reports. 6: srep35679.
Jiang, Y., C. Li., and A. Paterson. 2016. High-throughput phenotyping of cotton plant height using depth images under field conditions. Computers and Electronics in Agriculture. 130 (2016): 57-68.
Zhang, R., C. Li, M. Zhang, and J. Rodgers. 2016. Shortwave infrared hyperspectral reflectance imaging for cotton foreign matter classification. Computers and Electronics in Agriculture. 127: 260-270.
Jiang, Y. and C. Li. 2015. mRMR-based feature selection for classification of cotton foreign matter using hyperspectral imaging. Computers and Electronics in Agriculture. 10.1016/j.compag.2015.10.017.
Chugunov, S. and C. Li. 2015. Monte Carlo simulation of light propagation in healthy and diseased onion bulbs with multiple layers. Computers and Electronics in Agriculture. 117: 91-101. DOI:1016/j.compag.2015.07.015.
Xu, R., F. Takeda, G. Krewer, and C. Li. 2015. Measure of mechanical impacts in commercial blueberry packing lines and potential damage to blueberry fruit. Postharvest Biology and Technology. DOI: 10.1016/j.postharvbio.2015.07.013.
Wang, W. and C. Li. 2015. A multimodal machine vision system for quality inspection of onions. Journal of Food Engineering. DOI: 10.1016/j.jfoodeng.2015.06.027.
Mustafic, A., Y. Jiang, and C. Li. 2015. Cotton contamination detection and classification using hyperspectral fluorescence imaging. Textile Research Journal. DOI: 10.1177/0040517515590416.
2015. Detection and Discrimination of Cotton Foreign Matter Using Push-Broom Based Hyperspectral Imaging: System Design and Capability. PLoS ONE 10(3): e0121969. doi: 10.1371/journal.pone.0121969.
Konduru, T., G. Rains, and C. Li. 2015. Detecting sour skin infected onions using a customized gas sensor array. Journal of Food Engineering. 160: 19-27. DOI: 10.1016/j.jfoodeng.2015.03.025.
Chugunov, S. and C. Li. 2015. Parallel implementation of inverse adding-doubling and Monte Carlo multi-layered programs for high performance computing systems with shared and distributed memory. Computer Physics Communications. DOI: 10.1016/j.cpc.2015.02.029.
Xu, R. and C. Li. 2015. Development of the Second Generation Berry Impact Recording Device (BIRD II). Sensors 15, no. 2: 3688-3705.
Konduru, T., G. Rains, and C. Li. 2015. A customized metal oxide semiconductor-based gas sensor array for onion quality evaluation: system development and characterization. Sensors. 15, 1252-1273.
Mustafic, A., Li, C., & Haidekker, M. 2014. Blue and UV LED-induced fluorescence in cotton foreign matter. Journal of Biological Engineering, 8(1), 29.
Wang, W. and C. Li. 2014. Optical Properties of Healthy and Diseased Onion Tissues in the Visible and Near-Infrared Spectral Region. Transactions of ASABE. 57(6): DOI 10.13031/trans.57.10815.
Mustafic, A., and C. Li. 2014. Classification of cotton foreign matter using color features extracted from fluorescent images. Textile Research Journal. DOI: 10.1177/0040517514561923.
Wang, W. and C. Li. 2014. Size estimation of sweet onions using consumer-grade RGB-depth sensor. Food Engineering. 142: 153–162.
Yu, P., C. Li, F. Takeda, G. Krewer, G. Rains, and T. Hamrita. 2014. Evaluation of rotary, slapper, and sway blueberry mechanical harvesters for potential fruit impact points using a miniature instrumented sphere. Comput. Electron. Agr. 101:84–92.
Yu, P., C. Li, F. Takeda and G. Krewer. 2014. Visual bruise assessment and analysis of mechanical impact measurement in southern highbush blueberry. Applied Engineering in Agriculture. 30(1): 29-37.
Wang, H., C. Li, and M. Wang. 2013. Quantitative determination of onion internal quality using hyperspectral imaging with reflectance, interactance, and transmittance modes. Transactions of ASABE. 56(4): 1623-1635.
Takeda, F., G. Krewer, C. Li, D. MacLean , and J. W. Olmstead. 2013. Techniques for increasing machine-harvest efficiency in southern highbush and rabbiteye blueberries. Hort Technology. 23(4): 430-436.
Li, C., P. Yu, F. Takeda, G. Krewer. 2013. A miniature instrumented sphere to understand impacts created by mechanical blueberry harvesters. HortTechnology . 23(4): 425-429.
Wang, W. and C. Li. 2013. Measurement of the light absorption and scattering properties of onion skin and flesh at 633 nm. Postharvest Biology and Technology. 86: 494–501.
Wang, Weilin, Changying Li, Ernest W. Tollner, and Glen C. Rains. 2012. Development of software for spectral imaging data acquisition using LabVIEW . Computers and Electronics in Agriculture, 84: 68–75.
Wang, Weilin, Changying Li, Ernest W. Tollner, Ronald D. Gitaitis, and Glen C. Rains. 2012. Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions. Journal of Food Engineering 109 (1): 38-48
Li, C., D. Thibodeaux, A. Knowlton and J. Foulk. 2012. Effect of cleaning treatments and cotton variety on fiber and yarn quality. Applied Engineering in Agriculture. 28(6): 1-8.
Wang, Weilin, Changying Li, Ernest W. Tollner, Glen C. Rains, and Ronald D. Gitaitis. 2012. “A liquid crystal tunable filter based shortwave infrared spectral imaging system: Design and integration.” Computers and Electronics in Agriculture 80: 126-134.
Yu, P., C. Li, F. Takeda, G. Krewer, G. Rains and T. Hamrita. 2012. Quantitative evaluation of a blueberry mechanical harvester using a miniature instrumented sphere. Computers and Electronics in Agriculture. 88: 25-31.
Wang, Weilin, Changying Li, Ernest W. Tollner, Glen C. Rains, and Ronald D. Gitaitis. 2012. A liquid crystal tunable filter based shortwave infrared spectral imaging system: Calibration and characterization. Computers and Electronics in Agriculture 80: 135-144.
Wang, H., C. Li, L. Mei, and M. Li. 2012. Integration and Calibration of A Line-Scan Hyperspectral Imaging System. Transactions of the Chinese Society of Agricultural Engineering. 14: 244-249.
Yu, P., C. Li, G. Rains, and T. Hamrita. 2011. Development of the Blueberry Impact Recording Device sensing system: hardware design and calibration. Computers and Electronics in Agriculture. 79(2):103-111.
Yu, P., C. Li, G. Rains, and T. Hamrita. 2011. Development of the Berry Impact Recording Device Sensing System: Software. Computers and Electronics in Agriculture. 77(2): 195-203.
Lin, T., L.F. Rodriguez, C. Li, and S.R. Eckhoff. 2011. An engineering and economic evaluation of wet and dry pre-fractionation processes for dry-grind ethanol facilities. Bioresource Technology. 102(19):9013-9.
Li, C., J. Luo, and D. MacLean . 2010. A novel instrument to delineate varietal and harvest effect on blueberry fruit texture during storage. Journal of the Science of Food and Agriculture. 91(9): 1653–1658.
Adedoyin, A., C. Li, and M. Toews. 2010. Characterization of single cotton fibers using a laser diffraction system. Textile Research Journal. 81(4): 355-367.
Li, C., A. Knowlton, S. Brown, and G. Ritchie. 2010. A comparative study of a microgin with a lab gin stand and commercial gins in southeast U.S. Applied Engineering in Agriculture. 27(2): 167-175.
Rodriguez, L.F., C. Li, M. Khanna, A.D. Spaulding, Tao Lin, and S.R. Eckhoff. 2010. An engineering and economic evaluation of quick germ-quick fiber process for dry-grind ethanol facilities: analysis. Bioresource Technology 101(14): 5275–5281.
Li, C., L.F. Rodriguez, M. Khanna, A.D. Spaulding, Tao Lin, and S.R. Eckhoff. 2010. An engineering and economic evaluation of quick germ quick fiber process for dry-grind ethanol facilities: model description and documentation. Bioresource Technology 101(14): 5282–5289.
Li, C., R. Gitaitis, and N. Schmidt. 2010. Detection of onion postharvest diseases by analyses of headspace volatiles using a gas sensor array and GC-MS. LWT – Food Science and Technology. 44: 1019-1025.
Lee, W. S., V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, C. Li. 2010. Sensing technologies for precision specialty crop production. Computers and Electronics in Agriculture. 74: 2-33.
Li, C., G. Krewer, P. Ji, H. Scherm, and S.J. Kays. 2010. Gas sensor array for blueberry fruit disease detection and classification. Postharvest Biology and Technology 55(3): 144-149.
Li, C., R. Gitaitis, E.W. Tollner, P. Sumner, and D. MacLean . 2009. Onion sour skin detection using a gas sensor array and support vector machine. Sensing and Instrumentation for Food Quality and Safety 3(4): 193-202.
M.R.P. Mosqueda, E.W. Tollner, G.E. Boyhan, C. Li, and R. W. McClendon . 2009. Simulating onion packinghouse product flow for performance evaluation and education. Biosystems Engineering 102(2): 135-142.
Li, C., P. Heinemann and P. Reed. 2008. Using genetic algorithms (GAs) and CMA evolutionary strategy to optimize electronic nose sensor selection. Transactions of the ASABE 51(1): 321-330.
Li, C. and P. Heinemann. 2007. ANN integrated electronic nose system for apple quality evaluation. Transactions of the ASABE 50(6): 2285-2294.
Li, C., P. Heinemann and J. Irudayaraj. 2007. Detection of apple defects using an electronic nose and zNose. Transactions of the ASABE. 50(4): 1417-1425.
Li, C., P. Heinemann and R. Sherry. 2007. Neural network and Bayesian network fusion models to fuse electronic nose and surface acoustic wave sensor data for apple defect detection. Sensors and Actuators B: Chemical. 125(1): 301-310.
Li, C. and P. Heinemann. 2007. A comparative study of three evolutionary algorithms for a surface acoustic wave sensor wavelength selection. Sensors and Actuators B: Chemical. 125(1): 311-320.
2006 and earlier
Wu, C., G. Teng and C. Li. 2005. Application and validation of computer vision based nondestructive measurement system for cucumber seedling growth conditions. Transactions of the Chinese Society of Agricultural Engineering. 21 (4) 109-112.
Li, C., G. Teng, C. Zhao, X. Qiao, and C. Wu. 2003. Implementation of non-contact measurement of the plant growth in greenhouse using computer vision. Transactions of Chinese Society of Agricultural Engineers. 19 (3): 140-144.
Teng, G. and C. Li. 2002. DNCS-A new scheme for the automation of greenhouse environment control. Transactions of the Chinese Society of Agricultural Engineering. 18 (5): 118-122.
Teng, G. and C. Li. 2002. The application of computer vision in industrialized agriculture. Journal of China Agricultural University. 7 (2): 62-67.
Ying, X., G. Teng and C. Li. 2002. The application of distributed network control system in greenhouse environmental control. Transactions of the Chinese Society of Agricultural Engineering. Supplement. 18 (5): 83-86.