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 502391
Title Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion
Author(s) Spekken, Mark; Bruin, Sytze De; Molin, José Paulo; Sparovek, Gerd
Source Computers and Electronics in Agriculture 124 (2016). - ISSN 0168-1699 - p. 194 - 210.
DOI http://dx.doi.org/10.1016/j.compag.2016.03.013
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2016
Abstract Soil erosion in arable fields is intensified on irregular surfaces. Although machine and crop-row patterns following terrain contours reduce runoff and increase water infiltration, these contours are almost never parallel while machine operations always are. In this work, a method is presented to generate patterns of machine paths on sloping land and assess their susceptibility to water erosion. The approach comprises three main process-steps: (1) assembling a comprehensive set of reference tracks and introducing hybrid contour lines; (2) adjust these curved tracks into steerable parallel tracks for agricultural machines; and (3) assess water flow accumulation and susceptibility to soil loss of the corresponding pattern. The methods were implemented in open source software and applied on three case studies concerning sugarcane production in the São Paulo region in Brazil. Our results suggest that soil loss could be reduced fivefold by inserting one single change in the cropping pattern while estimated reductions up to 75% could be obtained by the model when compared to a human-suggested coverage pattern.
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