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 543809
Title Improving the Simulation of Crop Growth in Commercial Growers' Fields Using Soil Scans, Remote Sensing Imagery and Yield Monitor Data
Author(s) Evert, F.K. van; Baron, Frenk-Jan; Booij, J.A.; Meurs, E.J.J.; Oort, P.A.J. van; Kempenaar, C.
Event 2018 ASA and CSSA Meeting, Baltimore, MD, 2018-11-04/2018-11-07
Department(s) Agro Toegepaste Plantenecologie
OT Team Int. Prod. & Gewasinn.
Publication type Abstract in scientific journal or proceedings
Publication year 2018
Abstract Precision agriculture can in many cases increase the profitability and sustainability of farming. Current precision ag recommendations are often based on empirical models, such as linear or curvilinear relationships between measurement and recommended application rate. For further increases in profitability and sustainability, mechanistic models of crop growth are needed. We investigated whether crop and soil parameters in these models can be determined via inverse modelling using readily available “big data” obtained from soil scans, remote sensing and yield monitors. Moreover, we investigated whether soil parameters determined in this way express within-field spatial variation in these measurements. We used data from several commercial potato growers in the period 2014-2018 (approx. 30 site-years). Initial results show that variations between fields can be parameterized. Accounting for within-field spatial variability through the soil parameters of the fields in question is considerably more difficult.
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