Number range CHAPTERCURRICULUM VITAE

*Chun-Chieh Yang, Ph.D.*

**CONTACT INFORMATION**

> Instrumentation and Sensing Laboratory
>
> Building 303, BARC-East, Powder Mill Road
>
> Beltsville MD 20705-2350
>
> USA
>
> Email:
> [[yangc@ba.ars.usda.gov]{.underline}](mailto:yangc@ba.ars.usda.gov)
>
> Daytime Tel: (301) 504-8450
>
> Fax: (301) 504-9466

**CITIZENSHIP**

> Canadian

**EDUCATION**

Ph.D. Department of Agricultural and Biosystems Engineering (was renamed
Department of Bioresource Engineering), McGill University, Canada.
1995 - 2000

> Dissertation: *Development of a Weed Management System for Precision
> Farming*

M.Sc. Department of Agricultural and Biosystems Engineering (was renamed
Department of Bioresource Engineering), McGill University, Canada.
1993 - 1995

> Thesis: *Applications of Artificial Neural Network Technology in the
> Design of Water-table Management Systems*
>
> B.Sc. Department of Agricultural Machinery Engineering (was renamed
> Department of Bio-Industrial Mechatronics Engineering), National
> Taiwan University, Taiwan, R.O.C. 1986 - 1990

**PROFESSIONAL EXPERIENCE**

> Research Experience. 2000 -- present

-   Research Associate, Instrumentation and Sensing Laboratory,
    Agricultural Research Service, United States Department of
    Agriculture, joint position as Postdoctoral Scholar, Department of
    Biosystems and Agricultural Engineering, University of Kentucky.
    **Research accomplishments** include hyperspectral / multispectral
    imaging system development, food safety online inspection, machine
    vision, computer modeling, system integration and control,
    artificial intelligence application. 2003 -- present

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-   Postdoctoral Fellow, Department of Agricultural and Biosystems
    Engineering, McGill University. **Research accomplishments** include
    remote sensing application, hyperspectral imaging system
    development, precision agriculture, artificial intelligence
    application, weed management modeling, water resource management
    modeling, agrochemical management modeling, geographic information
    system application, preparation of proposals for grant application.
    2000 -- 2002

> Teaching Experience. 1996 -- 2000

-   Guest Speaker, Soil and Water Quality Management (330-435A),
    Department of Natural Resource Sciences, McGill University.
    **Responsibilities** include teaching 25 senior undergraduate and
    graduate students for application of artificial intelligence to
    hydrologic modeling, and being a consultant for them. September --
    December, 2000

-   Instructor, Structured Computer Programming (336-252A), Department
    of Agricultural and Biosystems Engineering, McGill University.
    **Responsibilities** include teaching 23 junior undergraduate
    students for FORTRAN 90 and MATLAB computer languages, and being a
    consultant for them. September - December, 2000

-   Teaching Assistant, Geographic Information System for Biosystems
    Management, Department of Agricultural and Biosystems Engineering,
    McGill University. **Responsibilities** include teaching 10 to 20
    senior undergraduate and graduate students for IDRISI GIS software,
    designing and correcting their assignments, being a consultant for
    them, and maintaining the software in the network. 1997 -- 1998

-   Teaching Assistant, Structured Computer Programming, Department of
    Agricultural and Biosystems Engineering, McGill University. **Course
    responsibilities** include teaching 15 to 25 junior undergraduate
    students for FORTRAN 77 and FORTRAN 90 computer languages, designing
    and correcting their assignments, being a consultant for them,
    marking their examinations, and maintaining the software in the
    network. 1996 -- 1998

> Consulting and Extension Experience. 2001 -- present

-   Artificial Neural Network Model for the Prediction of Nitrate
    Concentrations in the Phreatic Aquifer of Esposende and Vila do
    Conde, project ref. POCTI/MGS/47182/2002, the Science and Technology
    Foundation of the Portuguese Science and Superior Education
    Ministry, Portugal. **Responsibilities** include offering experience
    applying artificial neural network to modeling, guiding data
    collection, guiding model development, and helping to write and
    proofread academic papers. 2004 - 2005

-   Water Consumption Modelling in Northern China, Canadian
    International Development Agency (CIDA) 3x3 Project, involving four
    Canadian universities (McGill University, University of Toronto,
    University of British Columbia and University of Montreal) and three
    Chinese universities (Beijing University, Chinghua University and
    Nankai University), funded by Canadian International Development
    Agency (CIDA), Canada. **Responsibilities** include offering
    experience using IDRISI GIS software, guiding GIS model development,
    and helping to write and proofread academic papers. January -- July,
    2001

-   Efficient Planning of Montreal Urban Forests by Means of a Decision
    Making Computerized System Project, Canada. **Responsibilities**
    include offering experience applying artificial neural network and
    decision tree to modeling, guiding data collection, analyzing data,
    developing models, and helping to write academic papers. January --
    May, 2001

**PROFESSIONAL ORGANIZATION MEMBERSHIP AND ACTIVITIES**

-   Member of the American Society of Agricultural and Biological
    Engineers (ASABE). 1995 -- present

    -   Committee Member of ASABE Information and Electrical
        Technologies Division, IET-312 Machine Vision. 2004 -- present

-   Member of Canadian Society for Engineering in Agriculture, Food and
    Biological Systems (CSAE). 1995 - present

**AWARDS AND HONORS**

-   Recipient of the Honorable Mention, BARC Poster Day, Beltsville
    Agriculture Research Center, Beltsville Area, USDA-ARS. 2006

    -   Area-wide competition

-   Recipient of the Second Prize, BARC Poster Day, Beltsville
    Agriculture Research Center, Beltsville Area, USDA-ARS. 2004

    -   Area-wide competition

-   Recipient of Formation de chercheurs et l\'aide à la recherche
    (FCAR) (Recipient of Funds for the training of researchers and the
    assistance with research), Quebec, Canada. 1997-1998

    -   Nationwide competition

-   Recipient of Canadian Water Resources Association Graduate
    Scholarship, Canada. 1996

    -   Nationwide competition

**PROFESSIONAL SERVICE**

> Manuscript reviewer for the following technical journals (listed
> alphabetically). 1999 -- present

-   Biosystems Engineering

-   Canadian Water Resources Journal

-   Canadian Biosystems Engineering

-   Computers and Electronics in Agriculture

-   Hydrological Sciences Journal

-   Journal of the American Water Resources Association

-   Soil Science Society of America Journal

-   Transactions of the ASAE

# 

# REFEREED Number range CHAPTERPUBLICATIONS

1.  Chao, K., Y.-R. Chen, F. Ding, **C.-C. Yang** and D.E. Chan. 2006.
    Development of two-band color-mixing technique for identification of
    broiler carcass conditions. *Journal of Food Engineering*, in press.

2.  **Yang, C.-C.**, K. Chao, Y. R. Chen, M. S. Kim and H. L.
    Early. 2006. Simple region of interest analysis for systemically
    diseased chicken identification using multispectral imaging.
    *Transactions of the ASAE*, 49(1): 245-257.

3.  **Yang, C.-C.**, K. Chao, Y. R. Chen and H. L. Early. 2005.
    Systemically diseased chicken identification using multispectral
    images and region of interest analysis. *Computers and Electronics
    in Agriculture*, 49(2): 255-271.

4.  **Yang, C.-C.**, K. Chao and Y. R. Chen. 2005. Development of
    multispectral imaging processing algorithms for identification of
    wholesome, septicemia, and inflammatory process chickens. *Journal
    of Food Engineering*, 69(2): 225-234.

5.  **Yang, C.-C.**, S. O. Prasher, R. Lacroix and S. H. Kim. 2004.
    Application of multivariate adaptive regression splines (MARS) to
    simulate soil temperature. *Transactions of the ASAE*, 47(3):
    881-887.

6.  **Yang, C.-C.**, S. O. Prasher and P. K. Goel. 2004. Differentiation
    of crop and weeds by decision-tree analysis of multi-spectral data.
    *Transactions of the ASAE*, 47(3): 873-879.

7.  **Yang, C.-C.**, S. O. Prasher, R. Lacroix and S. H. Kim. 2003. A
    multivariate adaptive regression spines model for simulation of
    pesticide transport in soils. *Biosystems Engineering*, 86(1): 9-15.

8.  **Yang, C.-C.**, S. O. Prasher, P. Enright, C. Madramootoo, M.
    Burgess, P. K. Goel and I. Callum. 2003. Application of decision
    tree technology for image classification using remote sensing data.
    *Agricultural Systems*, 76(3): 1101-1117.

9.  **Yang, C.-C.**, S. O. Prasher, J.-A. Landry and H. S.
    Ramaswamy. 2003. Development of a herbicide application map using
    artificial neural networks and fuzzy logic. *Agricultural Systems*,
    76(2): 561-574.

10. **Yang, C.-C.**, S. O. Prasher and J.-A. Landry. 2003. Development
    of an image processing system and a fuzzy controller for
    site-specific herbicide applications. *Precision Agriculture*, 4(1):
    5-18.

11. **Yang, C.-C.**, S. O. Prasher and J.-A. Landry. 2002. Weed
    recognition in corn fields using back-propagation neural network
    models. *Canadian Biosystems Engineering*, 44:715-722.

12. **Yang, C.-C.**, S. O. Prasher, J. Whalen and P. K. Goel. 2002. Use
    of hyperspectral imagery for identification of different
    fertilization methods with decision tree technology. *Biosystems
    Engineering*, 83(3): 291-298.

13. **Yang, C.-C.**, S. O. Prasher, J.-A. Landry and H. S.
    Ramaswamy. 2002. Development of neural networks for weed recognition
    in corn fields. *Transactions of the ASAE*, 45(3): 859-864.

14. **Yang, C.-C.**, S. O. Prasher, J.-A. Landry and R. Kok. 2002. The
    development of image processing and weed localization algorithms for
    precision farming. *Biosystems Engineering*, 81(2): 137-146.

15. **Yang, C.-C.**, S. O. Prasher, J.-A. Landry, J. Perret and H. S.
    Ramaswamy. 2000. Recognition of weeds with image processing and
    their use with fuzzy logic for precision farming. *Canadian
    Agricultural Engineering*, 42(4): 195-200.

16. **Yang, C.-C.**, S. O. Prasher, J.-A. Landry, H. S. Ramaswamy and A.
    DiTommaso. 2000. Application of artificial neural networks in image
    recognition and classification of crop and weeds. *Canadian
    Agricultural Engineering*, 42(3): 147-152.

17. **Yang, C.-C.**, C. S. Tan and S. O. Prasher. 2000. Artificial
    neural networks for subsurface drainage and subirrigation systems in
    Ontario, Canada. *Journal of the American Water Resources
    Association*, 36(3): 609-618.

18. **Yang, C.-C.**, S. O. Prasher and C. S. Tan. 1999. An artificial
    neural network model for water table management systems. *Canadian
    Water Resources Journal*, 24(1): 25-33.

19. **Yang, C.-C.**, R. Lacroix, and S. O. Prasher. 1998. The use of
    back-propagation neural networks for the simulation and analyses of
    time-series data in subsurface drainage systems. *Transactions of
    the ASAE*, 41(4): 1181-1187.

20. **Yang, C.-C.**, S. O. Prasher, R. Lacroix and A. Madani. 1997.
    Application of Artificial neural networks in subsurface drainage
    system design. *Canadian Water Resources Journal*, 22(1): 1-12.

21. **Yang, C.-C.**, S. O. Prasher, R. Lacroix, S. Sreekanth, A. Madani
    and L. Masse. 1997. Artificial neural network model for
    subsurface-drained farmlands. *Journal of Irrigation and Drainage
    Engineering*, 123(4): 285-292.

22. **Yang, C.-C.**, S. O. Prasher and G. R. Mehuys. 1997. An artificial
    neural network to estimate soil temperature. *Canadian Journal of
    Soil Science*, 77(3): 421-429.

23. **Yang, C.-C.**, S. O. Prasher, G. R. Mehuys and N. K. Patni. 1997.
    Application of artificial neural networks for simulation of soil
    temperature. *Transactions of the ASAE*, 40(3): 649-656.

24. **Yang, C.-C.**, S. O. Prasher, S. Sreekanth, N. K. Patni and L.
    Masse. 1997. An artificial neural network model for simulating
    pesticide concentrations in soil. *Transactions of the ASAE*, 40(5):
    1285-1294.

25. Sreekanth, S., S. O. Prasher and **C.-C. Yang**. 1997. Importance of
    choice of input parameters in artificial neural network simulation
    of water-table depths. *Canadian Water Resource Journal*, 22(2):
    111-124.

26. **Yang, C.-C.**, S. O. Prasher and R. Lacroix. 1996. Applications of
    artificial neural networks to simulate water-table depths under
    subirrigation. *Canadian Water Resources Journal*, 21(1): 27-44.

27. **Yang, C.-C.**, S. O. Prasher and R. Lacroix. 1996. Applications of
    artificial neural networks to land drainage engineering.
    *Transactions of the ASAE*, 39(2): 525-533.

# 

# REFEREED Number range CHAPTERPUBLICATIONS UNDER REVIEW

1.  **Yang, C.-C.**, K. Chao, Y.-R. Chen, M. S. Kim and D. E.
    Chan. 2006. Development of Fuzzy Logic-based Differentiation
    Algorithm and Fast Line-Scan Imaging System for Chicken Inspection.
    *Biosystems Engineering*.

2.  **Yang, C.-C.**, S. O. Prasher, S. Wang, S. H. Kim, C. S. Tan, C.
    Drury and R. M. Patel. 2006. Simulation of nitrate-n pollution in
    southern Ontario with DRAINMOD-N. *Agricultural Water Management*.

3.  Wang, S., S. O. Prasher, **C.-C. Yang**, S. H. Kim, A. Madani, P. M.
    MacDonald and S. D. Robertson. 2005. Field validation of DRAINMOD-N
    in cold regions. *Computers and Electronics in Agriculture*.

# CONFERENCE PROCEEDINGS AND TECHNICAL REPORTS

1.  **Yang, C.-C.**, K. Chao, Y. R. Chen, and M. S. Kim. 2006. Line-Scan
    Machine Vision System for Online Poultry Carcass Inspection. April
    26, 2004, *BARC Poster Day*. Beltsville Agriculture Research Center,
    USDA-ARS.

2.  **Yang, C.-C.**, K. Chao, Y. R. Chen and M. S, Kim. 2005.
    Development of fast line scanning imaging algorithm for diseased
    chicken detection. *Optical Sensors and Sensing Systems for natural
    Resources and Food Safety and Quality, Proceedings of SPIE, Volume
    5996*, p. 59960C-1-59960C-12. OpticsEast 2005, Boston, MA, USA,
    October 22-23, 2005. The International Society for Optical
    Engineering.

3.  **Yang, C.-C.**, S. O. Prasher and J. Whalen. 2005. Application of
    hyperspectral imagery and prediction algorithms to precision
    agriculture. *The American Society of Agricultural Engineers (ASAE),
    2005 international meeting*, paper no. 05-1062.

4.  **Yang, C.-C.**, K. Chao, Y. R. Chen and H. L. Early. 2005.
    Application of multispectral imaging for wholesome and systemically
    diseased chickens. *The American Society of Agricultural Engineers
    (ASAE), 2005 international meeting*, paper no. 05-3125.

5.  Chao, K., Y. R. Chen, **C.-C. Yang,** and D. E. Chan. 2005.
    Characterizing spectra variations for cleaning and sanitation issues
    in poultry processing plant *The American Society of Agricultural
    Engineers (ASAE), 2005 international meeting*, paper no. 05-3035.

6.  Abreu, A. S., S. O. Prasher and **C.-C. Yang**. 2005. Development of
    REDENITRA, an artificial neural network clone of RZWQM model, for
    the simulation of nitrate-N leaching. *The American Society of
    Agricultural Engineers (ASAE), 2005 international meeting*, paper
    no. 05-2112.

7.  Abreu, A. S., S. O. Prasher and **C.-C. Yang**. 2005. REDENITRA, a
    backpropagation artificial neural network (BANN) model, clone of
    RZWQM, that predicts the amount of nitrate-N leaching in
    agricultural systems. *EGU General Assembly 2005*. Vienna, Austria.

8.  **Yang, C.-C.**, K. Chao, Y. R. Chen and H. L. Early. 2004.
    Systemically diseased chicken identification using multispectral
    images and region of interest analysis. *Nondestructive Sensing for
    Food Safety, Quality, and Natural Resources, Proceedings of SPIE,
    Volume 5587,* p. 121-132. OpticsEast 2004, Philadelphia, PA, USA,
    October 26-27, 2004. The International Society for Optical
    Engineering.

9.  **Yang, C.-C.**, K. Chao and Y. R. Chen. 2004. Development of
    multispectral imaging processing algorithms for Identification of
    Wholesome, Septicemic, and Inflammatory Process Chickens. April 29,
    2004, *BARC Poster Day*. Beltsville Agriculture Research Center,
    USDA-ARS.

10. **Yang, C.-C.**, K. Chao, Y. R. Chen and M. S. Kim. 2004.
    Application of multispectral imaging for identification of wholesome
    and systemically diseased chicken. *The American Society of
    Agricultural Engineers (ASAE), 2004 international meeting*, paper
    no. 04-3034.

11. **Yang, C.-C.**, K. Chao and Y. R. Chen. 2003. Development of
    multispectral imaging processing algorithms for food safety
    inspection on poultry carcasses. *The American Society of
    Agricultural Engineers (ASAE), 2003 international meeting*, paper
    no. 03-3054.

12. **Yang, C.-C.**, S. O. Prasher and J. Whalen. 2003. Neural network
    models for crop yield classification using hyperspectral imagery.
    *The American Society of Agricultural Engineers (ASAE), 2003
    international meeting*, paper no. 03-1112.

13. Karimi, Y., S. O. Prasher, H. McNarin, R. B. Bonnell, P.
    Dutilleul, P. K. Goel, **C.-C. Yang** and Y. Uno. 2003.
    Hyperspectral remote sensing for discriminating water and nitrogen
    stresses in a corn field. *The American Society of Agricultural
    Engineers (ASAE), 2003 international meeting*, paper no. 03-1111.

14. **Yang, C.-C**. S. O. Prasher, S. Wang, S. H. Kim. C. S. Tan and C.
    Drury. 2002. Simulation of nitrate-N pollution in southern Ontario
    with DRAINMOD-N. *Northeast Agricultural and Biological Engineering
    Conference (NABEC), 2002 annual meeting*, paper no. 02-028.

15. **Yang, C.-C.**, S. O. Prasher and P. K. Goel. 2002. Differentiation
    of crop and weeds by decision tree analysis of multi-spectral data.
    *The American Society of Agricultural Engineers (ASAE), 2002
    international meeting*, paper no. 02-1080.

16. **Yang, C.-C.**, S. O. Prasher and J. Whalen. 2002. Prediction of
    yields for corn and soybean with hyperspectral imagery. *The
    American Society of Agricultural Engineers (ASAE), 2002
    international meeting*, paper no. 02-3139.

17. Wang, S., S. O. Prasher, **C.-C. Yang**, S. H. Kim, A. Madani, P. M.
    MacDonald and S. D. Robertson. 2002. Field validation of a
    mathematical model to estimate nitrate-nitrogen pollution from
    subsurface drained farmlands. *The American Society of Agricultural
    Engineers (ASAE), 2002 international meeting*, paper no. 02-2039.

18. Jutras, P., S. O. Prasher, **C.-C. Yang** and C. Hamel. 2002. Urban
    tree growth modeling with artificial neural network. *Proceedings of
    the 2002 International Joint Conference on Neural Networks,
    IJCNN'02*, Honolulu, Hawaii, USA, May 12-17, 2002: 1385-1389.

19. **Yang, C.-C.**, S. O. Prasher, J. Whalen and P. K. Goel. 2001.
    Application of data mining technology for hyperspectral imagery
    classification in agricultural fields. *The American Society of
    Agricultural Engineers (ASAE), 2001 international meeting*, paper
    no. 01-3116.

20. Goel, P. K., S. O. Prasher, R. M. Patel, J. A. Landry, A. A. Viau
    and **C.-C. Yang**. 2001. Weed and nitrogen stress detection in corn
    using airborne hyperspectral remote sensing. *The American Society
    of Agricultural Engineers (ASAE), 2001 international meeting*, paper
    no. 01-1199.

21. Salehi, F., S. O. Prasher, S. Amin, A. Madani, S. J. Jebelli, H. S.
    Ramaswamy, C. Tan, C. F. Drury and **C.-C. Yang**. 2001. Prediction
    of annual nitrate-N losses in drain outflows with artificial neural
    networks. *The American Society of Agricultural Engineers (ASAE),
    2001 international meeting*, paper no. 01-3064.

22. **Yang, C.-C.**, S. O. Prasher, P. Enright, C. Madramootoo, M.
    Burgess, P. K. Goel and I. Callum. 2001. Application of data mining
    technology for image classification using remote sensing data. *The
    Canadian Society of Agricultural Engineering (CSAE), 2001 annual
    meeting with the Northeast Agricultural and Biological Engineering
    Conference (NABEC) and the Agricultural Institute of Canada (AIC)*,
    paper no. 01-611.

23. **Yang, C.-C.**, S. O. Prasher, P. K. Goel and R. Patel. 2001.
    Application of data mining for image classification in remote
    sensing. *Journée d'information scientifique et technique en génie
    agroalimentaire*, Saint-Hyacinthe, QC, Canada, March 21, 2001,
    33-40.

24. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 2000. Development
    of a weed management system for precision farming. *Northeast
    Agricultural and Biological Engineering Conference (NABEC), 2000
    annual meeting*, paper no. 2031.

25. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 2000. Applications
    of artificial neural networks to plant recognition in the field.
    *The American Society of Agricultural Engineers (ASAE), 2000
    international meeting*, paper no. 00-3054.

26. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1999. Development
    of weed maps in corn fields for precision farming. *The American
    Society of Agricultural Engineers (ASAE), 1999 international
    meeting*, paper no. 99-3044.

27. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1999. Weed
    recognition in precision farming. *The American Society of
    Agricultural Engineers (ASAE), 1999 international meeting*, paper
    no. 99-3115.

28. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1999. Use of
    artificial neural networks to recognize weeds in a corn field.
    *Journée d'information scientifique et technique en génie
    agroalimentaire*, Saint-Hyacinthe, QC, Canada, March 3, 1999, 60-65.

29. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1998. Application
    of artificial neural networks to image recognition in precision
    farming. *The American Society of Agricultural Engineers (ASAE),
    1998 international meeting*, paper no. 98-3039.

30. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1998. Application
    of image processing and weed recognition in precision farming.
    *Northeast Agricultural and Biological Engineering Conference
    (NABEC), 1998 annual meeting*, paper no. 9825.

31. **Yang, C.-C.**, S. O. Prasher and C. S. Tan. 1998. An artificial
    neural network model for water table management system. *Drainage in
    the 21st Century: Food Production and the Environment. Proceedings
    of the 7th Annual Drainage Symposium*, Orlando, FL, USA, March 8-10,
    1998, p. 250-257.

32. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1997. Application
    of machine vision and artificial neural networks in precision
    farming. *The American Society of Agricultural Engineers (ASAE),
    1997 international meeting*, paper no. 97-3107.

33. **Yang, C.-C.** and S. O. Prasher. 1997. Application of precision
    farming. *CSAE Conference Proceedings*, volume A, Sherbrooke, QC,
    Canada, 1997. p. 71-80. Canadian Society of Agricultural
    Engineering.

34. **Yang, C.-C.**, S. O. Prasher and J. A. Landry. 1997. The use of
    information technologies in precision farming. *CSAE Conference
    Proceedings*, volume A, Sherbrooke, QC, Canada, 1997. p. 562-571.
    Canadian Society of Agricultural Engineering.

35. **Yang, C.-C.**, S. O. Prasher and S. Sreekanth. 1996. An artificial
    neural network model for pesticide fate and transport. *The American
    Society of Agricultural Engineers (ASAE), 1996 international
    meeting*, paper no. 96-2025.

36. **Yang, C.-C.**, S. O. Prasher, R. Lacroix, S. Sreekanth, N. K.
    Patni and L. Masse. 1996. An artificial neural network model for the
    simulation of water-table depths and drain outflows. *Proceedings of
    the 49th Annual Conference of the Canadian Water Resources
    Association*, Quebec City, June 26-28, 1996: 225-239.

37. **Yang, C.-C.**, R. Lacroix, and S. O. Prasher. 1996. The use of
    back-propagation in neural networks for the simulation and analyses
    of time-series data in subsurface drainage systems. *Proceedings of
    Computers in Agriculture*, Cancun, Mexico, June 10-14, 1996:
    941-949.

38. **Yang, C.-C.**, S. O. Prasher and R. Lacroix. 1996. Application of
    artificial neural networks in subsurface drainage system design.
    *Proceedings of Computers in Agriculture*, Cancun, Mexico, June
    10-14, 1996: 932-940.

39. **Yang, C.-C.**, S. O. Prasher and R. Lacroix. 1995. Applications of
    artificial neural networks to land drainage engineering. *The
    Canadian Society of Agricultural Engineering (CSAE), 1995 annual
    meeting*, paper no. 95-610.