Skip to main content
Log in

Organizing Data in Arable Farming: Towards an Ontology of Processing Potato

  • Published:
Potato Research Aims and scope Submit manuscript

Abstract

Arable farmers and their suppliers, consultants and procurers are increasingly dealing with gathering and processing of large amounts of data. Data sources are related to mandatory and voluntary registration (certification, tracing and tracking, quality control). Besides data collected for registration purposes, decision support systems for strategic, tactical and operational tasks yield enormous amounts of mainly digital information. Data of similar nature but with often varying definitions are collected and processed separately for different purposes. This paper describes for an important arable crop – the processing potato – which data requirements and flows exist at present and how they could possibly be described in a unifying ontology. An ontology describes the concepts, attributes and relations in a specific knowledge domain using a standardized representation language. Important concepts in this domain are for example crop, parcel, soil, treatment and farm. The ontology – once elaborated – will reduce the overlap between information models and helps to overcome the problem of data definition and representation. It is a key element for the development of systems that can automatically learn either with the help of expert knowledge or through adequate numerical techniques.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Achten VJTM, Jansen DM, Verdouw CN, Molema GJ (2005) Kennis op de akker (KodA): verkenning van kennis en mogelijkheden op het gebied van managementondersteuning op akkerbouwbedrijven. Knowledge to the Acre (KodA): exploring knowledge and potential management support at arable farms. Research Report Wageningen University, Agrotechnology and Food Science Group, 83 pp. (In Dutch)

  • Baarveld HR, Peeten HMG, Schipper E, Schipper JK, Delleman J (Eds) (2003). Netherlands catalogue of potato varieties. NIVAP The Hague, p 263

  • Been TH, Schomaker CH (2004) A geo-referenced decision support system for nematodes in potatoes. In: MacKerron DKL, Haverkort AJ (eds) Decision support systems in potato production: bringing models to practice. Wageningen Academic Publishers, Wageningen, pp 154–167

    Google Scholar 

  • Booij R, Uenk DF (2004) Crop reflection based DSS for supplemental nitrogen dressings in potato production. In: MacKerron DKL, Haverkort AJ (eds) Decision support systems in potato production: bringing models to practice. Wageningen Academic Publishers, Wageningen, pp 46–53

    Google Scholar 

  • Dekkers WA (2002) Kwantitatieve informatie, akkerbouw en vollegrondsgroententeelt (In Dutch, Quantitative information for arable farming and field production of vegetables). PPO-Lelystad, p 331

  • De Laat PJM (1980) Model for unsaturated flow above a shallow water-table. Agricultural Research Reports 895, Pudoc, Wageningen

  • FAO, AGROVOC, http://www.fao.org/aims/index.jsp

  • FAO (2006), http://www.fao.org/aims/ag_intro.htm, AGROVOC Thesaurus

  • General Regulations Fruit and Vegetables Cologne (2004) Germany FoodPlus GmbH, Version 2.1-October. Cologne

  • Inmon WH (2005) Building the data warehouse. Wiley, New York, p 543

    Google Scholar 

  • Jena (2006) See jena.sourceforge.net

  • Kempenaar C, Van den Boogaard R (2004) MLHD, a decision support system for rational use of herbicides: developments in potatoes. In: MacKerron DKL, Haverkort AJ (eds) Decision support systems in potato production: bringing models to practice. Wageningen Academic Publishers, Wageningen, pp 186–196

    Google Scholar 

  • Kimball R, Ross M (2002) The data warehouse toolkit: the complete guide to dimensional modelling. Wiley, New York, p 436

    Google Scholar 

  • Koenderink NJJP., Hulzebos JL, Rijgersberg H, Top JL (2005) Food informatics: sharing food knowledge for research and development. In: EFITA/WCCA 2005, Lisbon, Portugal, p 355

  • Kooman PL, Fahem M, Tegera P, Haverkort AJ (1996) Genotype environment interactions in potato 1. Light interception, total dry matter production and tuber yield. Eur J Agron 5:193–205

    Article  Google Scholar 

  • Korotkiy M, Top JL (2006), Onto-SOA: from ontology-enabled SOA to service-enabled ontologies. In ICIW’06, Guadeloupe

  • MacKerron DKL, Haverkort AJ (eds) (2004) Third International Potato Modelling Conference Dundee, March 2–5 2003. In: Proceedings as a Wageningen Academic Publisher book. Decision support systems in potato production: bringing models to practice p 238

  • Makkink GF (1957) Testing the Penman formula by means of lysimeters. Journal of the Institute of water engineers 11:277–288

    Google Scholar 

  • Opticrop (2005) Manual CROP Gewis, optimizing timing and dosage of sprayings. Opticrop B.V. Wageningen, Netherlands, p 16

  • Protégé (2006) http://protege.stanford.edu/, version December 2005

  • Raatjes P, Hadders J, Martin D, Hinds H (2004) Plant-plus: turn-key solution for disease forecasting and irrigation management. In: MacKerron DKL, Haverkort AJ (eds) Decision support systems in potato production: bringing models to practice. Wageningen Academic Publishers, Wageningen, pp 168–185

    Google Scholar 

  • Seamless (2006) http://www.seamless-ip.org/

  • VAVI (2004) Grower handbook food safety certificate for the potato processing industry 2004/2005 growing and storage season. VAVI the Hague, p 16

  • Verdenius F (2005) Methodological aspects of designing induction-based applications, PhD thesis, University of Amsterdam, http://dare.uva.nl/record/146542

  • Verdenius F, Top JL (1998) Case based modelling of dynamic systems. In: Tijskens LMM, Hertog MLAM (eds) Proceedings of the first international symposium MODEL-IT, Wageningen. Acta Horticultura 476:279–288

  • Vereecken H, Maes J, Feyen J, Darius P (1989) Estimating the soil moisture retention characteristics from texture, bulk density and carbon content. Soil Sci 148:389–403

    Article  Google Scholar 

  • World Wide Web Consortium (2006) http://www.w3c.org

  • Wösten JHM, Finke PA, Jansen MWJ (1995) Comparison of class and continuous pedotransfer functions to generate soil hydrolic characteristics. Geoderma 90:169–185

    Article  Google Scholar 

  • Wolfert J., Schoorlemmer HB, Paree PMG, Zunneberg W, van Hoven JPC (2005) Kennis op de Akker – Een programmeringsstudie Knowledge to the Acre, a programming study, LEI report 2.05.05, The Hague.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. J. Haverkort.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Haverkort, A.J., Top, J.L. & Verdenius, F. Organizing Data in Arable Farming: Towards an Ontology of Processing Potato. Potato Res. 49, 177–201 (2006). https://doi.org/10.1007/s11540-006-9016-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11540-006-9016-z

Keywords

Navigation