Spatial optimisation of cropped swaths and field margins using GIS

Bruin, S. de; Lerink, P.; Klompe, A.; Wal, T. van der; Heijting, S.

doi:10.1016/j.compag.2009.06.001

Cited by 25 publications

(13 citation statements)

References 19 publications

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“…Field geometry was measured by a local agricultural contractor with a GPS receiver providing centimetre level accuracy with a RTK (real time kinematic) correction signal. For detailed description of this method see de Bruin et al (2009). The budget allowed two fields of the last farmer interviewed to be sampled.…”

Section: Interviewsmentioning

confidence: 99%

The arable farmer as the assessor of within-field soil variation

2010

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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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Section: Interviewsmentioning

confidence: 99%

The arable farmer as the assessor of within-field soil variation

2010

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“…GAOS verdeelt een nauwkeurig ingemeten perceel (de Bruin et al, 2009b) in een cultuurakker en een natuurakker. De resulterende vorm en afmetingen van de cultuurakker zijn zodanig dat bewerkingen op een effectieve (minimale overlap) en efficiënte manier (minimaal manoeuvreren in combinatie met gunstige benutting van beschikbare ruimte) kunnen worden uitgevoerd (de Bruin et al, 2009a). De inrichting van de cultuurakker door GAOS bestaat uit het realiseren van werklijnen voor een bewerking, bijvoorbeeld poten van aardappelen.…”

Section: Aanbevelingenunclassified

Op naar precisielandbouw 2.0 : eindrapport PPS PL2.0 2015-2019 topsectorproject AF-14275

Kempenaar¹,

Dijk²,

Hermans³

et al. 2019

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“…Research was conducted to optimize driving direction and route designs within fields with various geometrical shapes. For example, de Bruin [13] applied a GIS in optimizing the spatial configuration of cropped swaths within agricultural fields while creating space for field margins. Bochtis and Vougioukas [14] developed an algorithm to minimize the non-working distance traveled by agricultural machines operating in parallel tracks.…”

Section: Introductionmentioning

confidence: 99%

Application of Geographic Information System and Automated Guidance System in Optimizing Contour and Terrace Farming

Guo

2018

Agriculture

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Farming contour and terrace fields using automated guidance systems with global navigation satellite system (GNSS) receivers requires appropriate geographic features for effective guidance and soil and water conservation. The objective of this paper was to develop methodologies for improving and designing guidance features for operating guidance systems in contour and terrace fields. This study was conducted in the Texas High Plains where contour and terrace farming practices are prevalent in slope fields. Four case studies were used to demonstrate the application of a geographic information system (GIS) in optimizing guidance geographic features, including line smoothing, line extending and connecting, creating swath AB lines, and guide-to-line features. Line smoothing removes sharp angularities and curve oscillations on guidance line features, resulting in smooth and more effective guidance operations. The line extension and connection method creates a more convenient and simple guidance feature by combining multiple AB lines. Guide-to-line features derived from AB lines can eliminate confusions when using a guidance system with multiple AB lines in fields with complicated topographic attributes. A methodology was also developed to create guidance AB lines by processing the elevation data generated by a guidance system with a real-time kinematic (RTK) receiver. Guidance line features created in this study satisfy user requirements for effective guidance operations and soil and water conservation. Integrating the application of GIS spatial analysis capabilities and automated guidance systems can enhance farming operations by improving or creating guidance line features, as well as satisfying soil and water conservation needs. Parameter selection for enhancing or creating guidance line features needs to consider unique field conditions and user requirements for simple, convenient, and effective field operations.

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Spatial optimisation of cropped swaths and field margins using GIS

Cited by 25 publications

References 19 publications

The arable farmer as the assessor of within-field soil variation

The arable farmer as the assessor of within-field soil variation

Op naar precisielandbouw 2.0 : eindrapport PPS PL2.0 2015-2019 topsectorproject AF-14275

Application of Geographic Information System and Automated Guidance System in Optimizing Contour and Terrace Farming

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