Delineation of management zones using multiple crop yield data
Paper
Paper/Presentation Title | Delineation of management zones using multiple crop yield data |
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Presentation Type | Paper |
Authors | Basnet, Badri (Author), Kelly, Rob (Author), Jensen, Troy (Author), Strong, Wayne (Author), Apan, Armando (Author) and Butler, David (Author) |
Journal or Proceedings Title | Proceedings of the 16th Triennial Congress of the International Soil Tillage Research Organisation (ISTRO 2003) |
Number of Pages | 7 |
Year | 2003 |
Place of Publication | Brisbane, Australia |
Web Address (URL) of Paper | https://www.researchgate.net/publication/37617023_Delineation_of_Management_Zones_using_Multiple_Crop_Yield_Data |
Conference/Event | 16th Triennial Congress of the International Soil Tillage Research Organisation (ISTRO 2003) |
Event Details | 16th Triennial Congress of the International Soil Tillage Research Organisation (ISTRO 2003) Event Date 13 to end of 18 Jul 2003 Event Location Brisbane, Australia |
Abstract | Most agricultural fields naturally have within-field variations that may require site-specific attention for optimum crop performance. These variations are often contiguous, extensive and not easy to manage since every spot in a paddock is unique. Delineating a paddock into a few ‘management zones’ is therefore a practical management approach. In this study, yield maps of various crops and seasons were used to delineate ‘management zones’. Map standardisation and the application of geographic information systems (GIS) were necessary to combine various yield maps for ‘management zones’ delineation. A user-defined fuzzy set membership function was employed to standardise yield maps. The membership function used control points derived from the percentile calculation to rescale yield data continuously between 0 and 1. Map standardization and processing was performed within Idrisi-32 GIS and image processing software program. Standardised maps were combined within raster GIS to identify areas of low, medium and high yield performances. The classified areas were identified as ‘management zones’ requiring different level of management attention. It was found that the continuous rescaling of yield data, using percentile based control points, was suitable to standardise yield maps. This process derived control points from within the yield data and minimized the influences of extreme yield values. Overlaying standardised yield maps to identify areas of low, medium and high yield potential was a straightforward process within GIS. The investigation revealed that most area performed moderately and the areas requiring highest management attention were around the periphery of the investigated paddock. |
ANZSRC Field of Research 2020 | 300299. Agriculture, land and farm management not elsewhere classified |
Public Notes | Unable to find any copyright restrictions preventing public access to paper. |
Byline Affiliations | Department of Primary Industries, Queensland |
Department of Primary Industries and Fisheries, Queensland | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3914/delineation-of-management-zones-using-multiple-crop-yield-data
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