Application of the GOSSYM/COMAX system to cotton crop management
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These initial efforts led to the development of the GOSSYM simulation model and the accompanying COMAX expert system, which was used across the U.S. Cotton Belt to guide on-farm cotton management in the 1980s.
“Notably, these initial efforts led to the development of the GOSSYM simulation model (Table 1) and the accompanying CrOp MAnagement eXpert system (COMAX), which was used across the U.S. Cotton Belt to guide on-farm cotton management in the 1980s (McKinion et al., 1989; Whisler et al., 1986).”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as McKinion et al., 1989
An expert system known as COMAX was explicitly developed for the GOSSYM model.
“In addition to plant and soil processes, an expert system known as COMAX was explicitly developed for the GOSSYM model (Hodges et al., 1998; Lemmon, 1986; McKinion et al., 1989).”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as McKinion et al., 1989
There are notable examples of successful interactions between scientists and farmers, including GOSSYM-COMAX, APSIM in FARMSCAPE, and OZCOT within HydroLOGIC.
“Notable examples of successful interactions between scientists and farmers include the early efforts to use GOSSYM-COMAX for on-farm cotton management (McKinion et al., 1989); the use of APSIM in the FARMSCAPE initiative to examine the benefits of science-based soil sampling, climate forecasting, and simulation modeling applied to on-farm decision support (Carberry et al., 2002b)”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as McKinion et al., 1989
Cited by
Sorted by citations
CropSyst, a cropping systems simulation model
Stöckle, C. O., Donatelli, M., & Nelson, R. (2003) · European Journal of Agronomy · doi:10.1016/s1161-0301(02)00109-0 · Cited by 1,344 · see citing works
Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., et al. (2014) · Journal of Cotton Science · doi:10.56454/oovc6073 · Cited by 96 · see citing works
HydroLOGIC: An irrigation management system for Australian cotton
Richards, Q. D., Bange, M. P., & Johnston, S. B. (2008) · Agricultural Systems · doi:10.1016/j.agsy.2008.03.009 · Cited by 49 · see citing works
- Authors
- McKinion, J. M., Baker, D. N., Whisler, F. D., & Lambert, J. R.
- Affiliations
- Agricultural Research Service (US)
- Mississippi State University (US)
- Clemson University (US)
- Venue
- Agricultural Systems
- Publisher
- Elsevier BV
- Published
- 1989-01
- Volume
- 31
- Issue
- 1
- Pages
- 55-65
- ISSN
- 0308-521X (ISSN-L)
- OpenAlex
- W2079288356
- Cited by
- 103
- References
- 0
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 6 · 2018: 1 · 2017: 3 · 2016: 2 · 2015: 1 · 2014: 3 · 2012: 3
- FWCI
- 3.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Agricultural Systems (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Research in Cotton Cultivation
- Social Sciences › Business, Management and Accounting › Management Information Systems › Decision Support System Applications
- Keywords
- crop growth simulation model, expert systems, field testing, cotton belt, Southern United States
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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