Analysis of a precision agriculture approach to cotton production

• Published in: Computers and electronics in agriculture Vol. 32; no. 3; pp. 213 - 228
• Main Authors: McKinion, J.M., Jenkins, J.N., Akins, D., Turner, S.B., Willers, J.L., Jallas, E., Whisler, F.D.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.10.2001; Elsevier
• Subjects: Agronomy. Soil science and plant productions; Biological and medical sciences; Crop management; Crop model; Cropping systems. Cultivation. Soil tillage; Decision support; Fundamental and applied biological sciences. Psychology; General agronomy. Plant production; Generalities. Cropping systems and patterns; Geographical information systems; Precision agriculture; Simulation; Mississippi; United States; North America; America; Precision agriculture; Geographical information systems; Simulation; Crop model; Crop management; Decision support; Malvaceae; Production system; Cultural practice; Nitrogen fertilization; Irrigation; Field crop; Alluvial soil; Decision support system; Expert system; Fiber crop; Entisols; CROP MANAGEMENT; Geographic information system; Dicotyledones; Angiospermae; Spermatophyta; Gossypium hirsutum; Yield; Simulation model
• ISSN: 0168-1699; 1872-7107
• DOI: 10.1016/S0168-1699(01)00166-1

The hope of precision agriculture is that through more precise timing and usage of seed, agricultural chemicals and irrigation water that higher economic yields can occur while enhancing the economic production of field crops and protecting the environment. The analyses performed in this manuscript demonstrate proof of concept of how precision agriculture coupled with crop simulation models and geographic information systems technology can be used in the cotton production system in the Mid South to optimize yields while minimizing water and nitrogen inputs. The Hood Farm Levingston Field, located in Bolivar County, Mississippi, next to the Mississippi River, was chosen as the test sight to obtain a one hectare soil physical property grid over the entire 201 ha field. The 1997 yield was used as a comparison for the analysis. Actual cultural practices for 1997 were used as input to the model. After the 201 simulations were made using the expert system to optimize for water and nitrogen on a one hectare basis, the model predicted that an increase of 322 kg/ha could be obtained by using only an average increase of 2.6 cm of water/ha and an average decrease of 35 kg N/ha.