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TitlePrecision Agriculture and the Role of Remote Sensing: A Review
DownloadDownloads (Preprint)
LicencePlease note the adoption of the Open Government Licence - Canada supersedes any previous licences.
AuthorBrisco, B; Brown, R J; Hirose, T; McNairn, H; Staenz, K
SourceCanadian Journal of Remote Sensing vol. 24, issue 3, 1998 p. 315-327,
Alt SeriesEarth Sciences Sector, Contribution Series 20042568
PublisherInforma UK Limited
Mediapaper; on-line; digital
File formatpdf
Subjectsremote sensing; Variable Rate Technology (VRT)
Illustrationsdiagrams; satellite imagery; photographs; tables
Released2014 07 31
AbstractPrecision agriculture involves the integration of Geographic Information Systems (GIS), Global Positioning systems (GPS) and Remote Sensing (RS) technologies to allow farm producers to manage within field variability to maximize yield, rather than using the traditional whole-field approach. Variable Rate Technology (VRT) available with farm implements, such as fertilizer of pesticide applicators and yield monitors, have evolved rapidly and have fostered the growth of precision agriculture. Site specific management allows imputs to be reduced, while increasing outputs, both of which are attractive to the farm producer. At the same time, by reducing inputs, the run-off of fertilizer and pesticides is reduced, thus improving the environmental condition of the agro-ecosystem. Remote sensing provides input data for many precision agriculture applications including pre-growth detractant monitoring (crop scouting), and yield forecasting. This information in turn helps the farm producer in his decision making. Although the acceptance and growth of precision agriculture has been rapid some fundamental requirements are needed to help fully develop and implement this technology. Among these requirements are continued research and development of algorithms for the radiometric and geometric correction of remote sensing data and for information extraction. Also, access to timely, cost-effective remote sensing data, or derived value-added products and the development of decision support making systems or other expert systems integrating GIS, GPS, and RS technologies in a user-friendly fashion are needed. A subsequent training and technology transfer program to accelerate the acceptance and implementation of this technology for the agri-business sector is also a necessity.

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