Gerrit Hoogenboom


Academic Rank: Professor
Academic History: Ph. D., Auburn University
Area of Expertise: Crop Modeling and Simulation, Agrometeorology, Geographic Information Systems (GIS), Decision Support Systems for Agrotechnology Transfer, Automated Weather Station Operation and Data Management, Impact of Climate Change and Climate Variability on Crop Production, Natural Resource Use and Management
Campus: University of Georgia, Griffin, GA
Office Location: 113 Engineering
Email: gerrit@uga.edu
Phone: (770) 229-3438
Fax: (770) 228-7218
Shipping Address:
165 Gordon Futral Court
The University of Georgia
Griffin, GA 30223-1731

Peanut-Related Publications

Boken, V.K., G. Hoogenboom, J.H. Williams, B. Diarra, S. Dione, and G.L. Easson. 2007. Toward developing an Aflatoxin Early Warning System for Africa using AVHRR data and a simulation model to retard HIV-related death rate, International Journal of Remote Sensing. (In Press).

Paz, J.O., C.W. Fraisse, L.U. Hatch, A. Garcia y Garcia, L.C. Guerra, O. Uryasev, J.G. Bellow, J.W. Jones and G. Hoogenboom. 2007. Development of an ENSO-based irrigation decision support tool for peanut production in the southeastern US, Computers and Electronics in Agriculture 55(1):28-35.

Fraisse, C.W., J. L. Novak, A. Garcia y Garcia, J. W. Jones, C. Brown, and G. Hoogenboom. 2005. Using Crop Models and Climate Forecasts to Aid in Peanut Crop Insurance Decisions, Electronic Data Information Source (EDIS) AE285. Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL.

Suriharn, B., A. Patanothai, K. Pannangpetch, S. Jogloy and G. Hoogenboom. 2007. Determination of cultivar coefficients of peanut lines for breeding applications of the CSM-CROPGRO-Peanut model, Crop Science 47(2):607-619.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2006. Yield stability evaluation of peanut lines: a comparison of an experimental versus a simulation approach, Field Crops Research 96(1):168-175

Dangthaisong, P., P. Banterng, S. Jogloy, N. Vorasoot, A. Patanothai and G. Hoogenboom. 2006. Evaluation of the CSM-CROPGRO-Peanut model in simulating responses of two peanut cultivars to different moisture regimes, Asian Journal of Plant Sciences 5(6):913-922.

Garcia y Garcia, A., G. Hoogenboom, L.C. Guerra, J.O. Paz and C.W. Fraisse. 2006. Analysis of the interannual variation of peanut yield in Georgia using a dynamic crop simulation model, Transactions of the American Society of Agricultural and Biological Engineers 49(6):2005-2015.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2004. Determination of genetic coefficients of peanut lines for breeding applications, European Journal of Agronomy 21(3):297-310.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2003. Seasonal variation in the dynamic growth and development traits of peanut lines, Journal of Agricultural Science 141(1):51-62.

Ingram, K.T., B.C. Ahohuendo, B. Diarra, and G. Hoogenboom. 2003. Aspergillus flavus infection and aflatoxin contamination of peanut. New tools for research on Aspergillus flavus infection and aflatoxin contamination, Annales des Sciences Agronomiques 4(2):105-119.

Banterng, P., A. Patanothai, K. Pannangpetch, S. Jogloy and G. Hoogenboom. 2003. Applicability of the CROPGRO-Peanut model in assisting multi-location evaluation of peanut breeding lines, Thai Journal of Agricultural Science 37(7):407-418.

Henderson, C.E., W.D. Potter, R.W. McClendon, and G. Hoogenboom. 2000. Predicting aflatoxin contamination in peanuts: A genetic algorithm/neural network approach, Journal of Applied Intelligence 12(3):183-192.

Parmar, R. S., R. W. McClendon, G. Hoogenboom, P.D. Blankenship, R. J. Cole, and J. W. Dorner. 1997. Estimation of aflatoxin contamination in preharvest peanuts using neural networks, Transactions of the ASAE 40(3):809-813.

McClendon, R. W., G. Hoogenboom, and I. Seginer. 1996. Optimal control and neural networks applied to peanut irrigation management, Transactions of the ASAE 39(1):275-279.

Batchelor, W. D., J. W. Jones, K. J. Boote, and G. Hoogenboom. 1994. Carbon-based model to predict peanut pod detachment, Transactions of the ASAE 37(5):1639-1646.

Banterng, P., G. Hoogenboom, A. Patanothai, P. Singh, S.P. Wani and P. Pathak. 2005. Evaluation of peanut production in Thailand using crop growth modeling and a Geographic Information System, In: Summary of the International Peanut Conference 2005, Kasetsart University, Bangkok, Thailand. p.24.

Banterng, P., G. Hoogenboom, A. Patanothai, P. Singh, S.P. Wani, P. Pathak, S. Tongpoonpol, S. Atichart and P. Srihaban. 2005. Simulating regional peanut production in Thailand using crop growth modeling and a geographic information system, In: Proceedings Biological Systems Simulation Conference. USDA-ARS-Water Conservation Research Laboratory, Phoenix, AZ. p.66-67.

Boken, V.K., G. Hoogenboom, J.H. Williams, B. Diarra, and S. Dione. 2005. Developing a Peanut-Aflatoxin Early Warning System for Africa using satellite data and a crop simlation model, In: Summary of the International Peanut Conference 2005, Kasetsart University, Bangkok, Thailand. p.26.

Garcia y Garcia, A., L.C. Guerra, G. Hoogenboom, J.E. Hook, K.A. Harrison and J.P. Beasley, Jr. 2005. The impact of simulating irrigation scheduling for on-farm peanut fields using nearest and on-site precipitation data, In: Summary of the International Peanut Conference 2005, Kasetsart University, Bangkok, Thailand. p.30.

Guerra, L.C., A. Garcia y Garcia, G. Hoogenboom, J.E. Hook, K.A. Harrison and J.P. Beasley, Jr. 2005. Simulating peanut growth and yield in farmers’ fields in southwest Georgia using cultivar coefficients derived from variety trials, In:Proceedings Biological Systems Simulation Conference. USDA-ARS-Water Conservation Research Laboratory, Phoenix, AZ. p. 60-62.

Guerra, L.C., A. Garcia y Garcia, G. Hoogenboom, J.E. Hook, K.A. Harrison, and J.P. Beasley, Jr. 2005. Using cultivar coefficients derived from variety trials to predict peanut yield in farmers’ field, In: Summary of the International Peanut Conference 2005, Kasetsart University, Bangkok, Thailand. p.29.

Paz, J.O., C. W. Fraisse, G. Hoogenboom, L.U. Hatch, A. Garcia y Garcia, L.C. Guerra, O. Uryasev, J.G. Bellow, and J.W. Jones. 2005. Development of a peanut irrigation management decision aid using climate-based information, 26th Annual International Irrigation Show. Phoenix, AZ. Nov. 6-8, 2005. CD-ROM.

Garcia y Garcia, A., L.C. Guerra, G. Hoogenboom, J.E. Hook and K.A. Harrison. 2004. Simulating peanut irrigation water use and yield in farmers’ fields in southwest Georgia, In: Proceedings Biological Systems Simulation Conference. University of Florida, Gainesville, FL. p.34-35

Hoogenboom, G., S. Gadgil, P. Singh, T.Y. Reddy, P.R. Seshagiri Rao, and S.K. Murthy. 2001. Peanut yield variability in rainfed production systems of the semi-arid tropics, In: Proceedings – 3rd International Symposium on Systems Approaches for Agricultural Development [CD-ROM Computer File], International Potato Center (CIP), Lima, Peru.

Patanothai, A, P. Banterng, K. Pannangpetch, S. Jogloy, and G. Hoogenboom. 2001. The potential applicability of a peanut simulation model in a breeding program, In: Proceedings of the New Millenium International Groundnut Workshop

Henderson, C.E., W.D. Potter, R.W. McClendon, and G. Hoogenboom. 1998. Using a genetic algorithm to select parameters for a neural network that predicts aflatoxin contamination in peanuts, In:[J.M. Angel Pasqual del Pobil & M. Ali, eds] Methodology and Tools in Knowledge-Based Systems. Proceedings, Vol. I, 11th International Conference on Industrial and Eng. Applications of Artificial Intelligence and Expert Systems. Springer, Germany.

Sridhar, S., G. Hoogenboom, and G. Georgiev. 1998. Linking a pest model for peanut leafminer with the peanut crop simulation CROPGRO, In:Preprints 23rd Conference on Agricultural and Forest Meteorology. American Meteorological Society, Boston, MA. p.73-76.

Rao, I. M., K. J. Boote, J. W. Jones, G. Hoogenboom, and W. T. Bowen. 1996. CROPGRO-Peanut to simulate plant productivity of forage Arachis under grazing at Carimagua, Colombia, In: [W.T. Bowen, P.K. Thornton, and P.W. Wilkens, eds] Applying Crop Models and Decision Support Systems. Volume 2. Special Publication IFDC-SP23, International Fertilizer Development Center, Muscle Shoals, AL. p. 37-38

Reddy, T. Y., and G. Hoogenboom. 1996. Use of crop growth models in peanut drought stress studies in the Arid Tropics of India, In:[W.T. Bowen, P.K. Thornton, and P.W. Wilkens, eds] Applying Crop Models and Decision Support Systems. Volume 2. Special Pub IFDC-SP23, International Fertilizer Development Center, Muscle Shoals, AL. p. 39.

Hoogenboom, G., R.S. Parmar, R.W. McClendon, P.D. Blankenship, R.J. Cole, J.W. Dorner, and C. Pinto. 1995. Prediction of aflatoxin contamination in preharvest peanuts, In: Proceedings 8th Annual Aflatoxin Elimination Workshop, Atlanta, Georgia. p. 78.

Hoogenboom, G., K. J. Boote, J. W. Jones, and R. R. Getz. 1990. Modeling the effect of temperature change on peanut production in the Southeast, In : Proceedings of the 1990 Southeast Climate Symposium. Southeast Regional Climate Center/South Carolina Water Resources Commission, Columbia, South Carolina. p. 235-258.