Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 409336
Title The arable farmer as the assessor of within-field soil variation
Author(s) Heijting, S.; Bruin, S. de; Bregt, A.K.
Source Precision Agriculture 12 (2011)4. - ISSN 1385-2256 - p. 488 - 507.
Department(s) PPO/PRI AGRO Toegepaste Plantenecologie
Laboratory of Geo-information Science and Remote Sensing
Centre Geo-information
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) management zones - electrical-conductivity - precision agriculture - calcium-chloride - knowledge - information - variability - maps - community
Abstract Feasible, fast and reliable methods of mapping within-field variation are required for precision agriculture. Within precision agriculture research much emphasis has been put on technology, whereas the knowledge that farmers have and ways to explore it have received little attention. This research characterizes and examines the spatial knowledge arable farmers have of their fields and explores whether it is a suitable starting point to map the within-field variation of soil properties. A case study was performed in the Hoeksche Waard, the Netherlands, at four arable farms. A combination of semi-structured interviews and fieldwork was used to map spatially explicit knowledge of within-field variation. At each farm, a field was divided into internally homogeneous units as directed by the farmer, the soil of the units was sampled and the data were analysed statistically. The results show that the farmers have considerable spatial knowledge of their fields. Furthermore, they apply this knowledge intuitively during various field management activities such as fertilizer application, soil tillage and herbicide application. The sample data on soil organic matter content, clay content and fertility show that in general the farmers’ knowledge formed a suitable starting point for mapping within-field variation in the soil. Therefore, it should also be considered as an important information source for highly automated precision agriculture systems.
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