Publication | Closed Access
Pedology, Precision Agriculture, and the Changing Paradigm of Agricultural Research
111
Citations
16
References
1999
Year
Precision AgricultureEngineeringLand UseAgricultural EconomicsSoil ManagementSoil ConservationLand DegradationSite-specific ManagementAgricultural StatisticsBiocide AdsorptionFarming SystemSustainable AgriculturePublic HealthAgricultural ProductivitySmart AgricultureChanging ParadigmGeographyCrop Growth ModelingPrecision FarmingAgroecological SystemsAgricultureAgricultural HistorySoil TechnologyAgricultural TechnologyAgricultural ModelingFarming SystemsPa RequirementsAgricultural ManagementCrop Modelling
Precision agriculture integrates information technologies to inform crop production decisions, yet existing soil survey data fail to meet its data requirements. This paper examines the necessity of detailed soil data for precision agriculture, drawing on Dutch research. The authors describe how operational, tactical, and strategic simulations—using pedotransfer‑derived soil parameters, forward‑looking early‑warning models, backward‑looking historical analyses, and soil‑series‑based performance databases—support dynamic water, nutrient, and crop‑protection management.
Precision agriculture (PA) has recently been defined by the U.S. National Research Council as a management strategy that uses information technologies to bring data from multiple sources to bear on decisions associated with crop production. Soil information is important here, but current soil survey data do not satisfy PA requirements. In this paper, the need for soil data in PA is discussed on the basis of Dutch research. Not only operational, but also tactical and strategic aspects are considered. On the operational level, soil data, including parameters derived with pedotransfer functions, support the use of simulation models to quantify dynamically soil water regimes, N transformations, and biocide adsorption. Real time “forward‐looking” simulations incorporated in early‐warning systems assist in operational decisions on water, nutrient, and crop protection management. Backward‐looking simulations, using historic weather data, can be used to evaluate different management tactics for exploratory strategic and tactical purposes. Such simulations should balance production and environmental requirements. At the strategic and tactical level, assembled data on the performance of various farm management systems should be grouped by soil series to build a systematic database, allowing “quick and preliminary” evaluations of the effects of farm management strategies based on experiences obtained elsewhere on similar soils.
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