Self surveying - a strategy for efficient mapping of the spatial variability of time constant soil parameters
1998
Haneklaus, Silvia | Paulsen, Hans Marten | Schröder, Dirk | Leopoldt, Ludwig | Schnug, Ewald
Немецкий. The fate of future developments in precision agriculture is more depending on the availability, quality and validity of data about spatial variable soil and crop parameters than on technical developments. The basic information needed to get precision farming operational on the farm is: geography, geomorphology, texture and soil organic matter content. Especially the soil charateristics texture and organic matter are difficult to retrieve with sufficient resolution (under 50 m) and accuracy (+/- 2 % absolute) from official survey data or sources based on remote sensing. Reliable online sensor techniques for these essential parameters are not available. Traditional methods of soil analysis applied to the required sampling density would yield initial costs, even if automated sampling tools are employed, which strangle implementation of precision farming from the early beginning on. A solution for this problem is the strategy of "self-surveying" which combines GPS positioning and navigation, human sensory capabilities and establishing of local calibration functions in order to map the parameters listed in suitable density and quality. Relying on this basic spatial true monitoring of soil chemical parameters such as available nutrient concentration on a cost level not higher than traditional soil analysis requires today.
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Эту запись предоставил Thünen-Institut