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

机译:耕地农民作为田间土壤变化的评估者

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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.
机译:精确农业需要可行,快速和可靠的绘制田间变化的方法。在精确农业研究中,人们非常重视技术,而农民拥有的知识和探索方法却很少受到关注。这项研究表征并检验了耕地农民在其田间所拥有的空间知识,并探讨了它是否是绘制田间土壤特性变化的合适起点。在荷兰的Hoeksche Waard的四个耕地进行了案例研究。半结构化访谈和实地调查相结合,用于绘制田间变化的空间明确知识。在每个农场,按照农民的指示,将一块田地分成内部均质的单元,对单元的土壤进行采样,并对数据进行统计分析。结果表明,农民对其耕地具有相当大的空间知识。此外,他们在各种田间管理活动(例如肥料施用,土壤耕作和除草剂施用)中直观地运用了这一知识。有关土壤有机质含量,黏土含量和肥力的样本数据表明,一般而言,农民的知识为绘制土壤田间变化提供了合适的起点。因此,它也应被视为高度自动化的精确农业系统的重要信息源。

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