Using aerial acquired images to improve cotton and peanut production systems

Craig Kvien; Deborah Waters; Stuart Pocknee; Lynn Usery; Natasha Wells

doi:10.1117/12.256086

4 November 1996 Using aerial-acquired images to improve cotton and peanut production systems

Craig Kvien, Deborah Waters, Stuart Pocknee, Lynn Usery, Natasha Wells

Proceedings Volume 2818, Multispectral Imaging for Terrestrial Applications; (1996) https://doi.org/10.1117/12.256086
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Modern agriculture management is an extraordinarily complex task. The most complex tasks are management for environmental benefits. Chemical, physical and biological characteristics are known to vary over short distances in a field. However, most fields are treated as uniform, leading to over application and environmental pollution, or under application and suboptimal yields. Affordable navigation and positioning systems linked to sensing technologies and integrated into a geographic information system (GIS) are revolutionizing the way agriculture can address environmental variabilities. One challenge to better management of within field variability is the establishment of management zones for various inputs. Our research and development group is currently using aerial acquired images to help establish management zones for nutrients, pest scouting, and to monitor crop growth and development. These images are ground truthed and coupled with additional information layers such as maps of yield, disease, insect and weed pests, soil properties, topography to help establish relationships between the various components affecting crop growth and to help improve management decisions during the growing season.

Citation Download Citation

Craig Kvien, Deborah Waters, Stuart Pocknee, Lynn Usery, and Natasha Wells "Using aerial-acquired images to improve cotton and peanut production systems", Proc. SPIE 2818, Multispectral Imaging for Terrestrial Applications, (4 November 1996); https://doi.org/10.1117/12.256086

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