Skip to main content
SpringerLink
Log in

Akkerweb and farmmaps: Development of Open Service Platforms for Precision Agriculture

  • Chapter
  • First Online:
Precision Agriculture: Modelling

Part of the book series: Progress in Precision Agriculture ((PRPRA))

Abstract

The development of the Akkerweb service platform (https://akkerweb.eu) was started around 2010. It is an open platform in precision farming, providing the maps, services, data, and connections required, in principle, for any smart farming application envisioned. This includes background maps, services for weather data, satellite images, soil maps, crop polygons, etc., but also visualization tools, an app store, a task map generator, and crop growth models. Akkerweb provides the infrastructure needed to develop an application easily using the available services and to publish it on the Akkerweb platform. Moreover, Akkerweb applications can also run on other websites, seemingly as stand-alone applications with the look and feel of the customer’s website.

A unique point of the Akkerweb service platform is the availability of several science-based agronomic models which are currently made available as APIs for use in smart farming applications. Examples of these models are those to calculate water availability (Watbal model), potato crop growth (Tipstar model), late blight infection (Blight module), and nematode management (Nemadecide) at individual field and within-field levels. Other models are available for variable-rate application of soil herbicides and fungicides against blight, nitrogen top-dress application in potato and potato haulm killing. In total, Akkerweb has more than 30 apps.

farmmaps (https://farmmaps.eu) is the next version of Akkerweb. It has a new data repository and management system as well as a new, more intuitive dashboard design running on all devices. It became available first in 2021.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

AWS:

Amazon web services

CI:

chlorophyll index

FMIS:

farm management information system

GIS:

geospatial information system

GPU:

graphical processing unit

ICT:

information and communications technology

NSS:

nitrogen side dress system

UAV:

unmanned aerial vehicle

WDVI:

weighted difference vegetation index

References

  • Been, T. H., & Schomaker, C. H. (2004). A geo-referenced decision support system for nematodes in potatoes. In D. K. L. Mac Kerron & A. J. Haverkort (Eds.), Decision support systems in potato production (pp. 154–167). Bringing Models to Pratice Wageningen.

    Google Scholar 

  • Been, T. H., Schomaker, C. H., & Molendijk, L. P. G. (2005). Nema decide: A decision support system for the management of potato cyst nematodes. In A. J. Haverkort & P. C. Struik (Eds.), Potato in progress (pp. 154–167). Wageningen Academic Publishers.

    Google Scholar 

  • Berghuis-van Dijk, J. T. (1985). WATBAL: A simple water balance model for an unsaturated-saturated soil profile. Institute for Land and Water Management Research. Note Nr. 1670.

    Google Scholar 

  • Booij, R., & Uenk, D. (2004). Crop-reflection-based DSS for supplemental nitrogen dressings in potato production. In D. Mackerron & A. J. Haverkort (Eds.), Decision support systems in potato production: Bringing models to practice (pp. 46–53). Wageningen Academic Publishers.

    Google Scholar 

  • Booij, J. A., van Evert, F. K., & van Geel, W. C. A. et al.. (2017, June). Roll-out of online application for N sidedress recommendations in potato. In Proceedings of EFITA. Montpellier. http://library.wur.nl/Web Query/wurpubs/fulltext/445495

  • Christensen, S., Sogaard, H. T., Kudsk, P., et al. (2009). Site-specific weed control technologies. Weed Research, 49(3), 233–241.

    Article  Google Scholar 

  • Clevers, J. G. P. W. (1988). The derivation of a simplified reflectance model for the estimation of leaf-area index. Remote Sensing of Environment, 25, 53–69.

    Article  Google Scholar 

  • Cooke, L. R., Schepers, H. T. A. M., Hermansen, A., et al. (2011). Epidemiology and integrated control of potato late blight in Europe. Potato Research, 54, 183–222.

    Article  Google Scholar 

  • EIP. (2015). EIP-AGRI focus group on precision farming: Final report. https://ec.europa.eu/eip/agriculture/en/publications/eip-agri-focus-group-precision-farming-final

  • Euroblight. (2020, May 13). http://www.euroblight.net

  • Feddes, R. A., Kowalik, P. J., & Zaradny, H. (1978). Simulation of field water use and crop yield. (189 p). Simulation Monographs Pudoc.

    Google Scholar 

  • Fountas, S., Carli, G., Sorensen, C. G., et al. (2015). Farm management information systems: Current situation and future perspectives. Computers and Electronics in Agriculture, 115, 40–50.

    Article  Google Scholar 

  • GDAL/OGR contributors. (2021). GDAL/OGR geospatial data abstraction software library. Open Source Geospatial Foundation. https://gdal.org

    Google Scholar 

  • Gitelson, A., & Merzlyak, M. N. (1994). Quantitative estimation of chlorophyll-A using reflectance spectra: Experiments with autumn chestnut and maple leaves. Journal of Photochemistry and Photobiology B: Biology, 22, 247–252.

    Article  CAS  Google Scholar 

  • Gitelson, A. A., Vina, A., Ciganda, V., Rundquist, D. C., & Arkebauer, T. J. (2005). Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters, 32. https://doi.org/10.1029/2005gl022688

  • Goense, D. (2017). rmAgro/drmAgro/drmCrop. https://edepot.wur.nl/408327

  • Haverkort, A. J., Boonenkamp, P. M., Hutten, R. C. B., & Jacobsen, E. (2008). Societal costs of late blight in potato and prospects of durable resistance through Cisgenic modification. Potato Research, 51(1), 47–57.

    Article  Google Scholar 

  • Jansen, D. M. (2008). Beschrijving van TIPSTAR: hét simulatiemodel voor groei en productie van zetmeelaardappelen (Nota 547). Plant Research International.

    Google Scholar 

  • Jansen, D. M., Davies, J., & Steenhuizen, J. (2003). Gevoeligheid van TIPSTAR voor de waarden van situatie-specifieke invoergegevens (Nota 258). Plant Research International.

    Google Scholar 

  • Kempenaar, C., & Struik, P. C. (2008). The canon of potato science: Haulm killing. Potato Research, 50, 341–345.

    Article  Google Scholar 

  • Kempenaar, C., Heiting, S., & Michielsen, J. M. (2014a). Perspectives for site specific application of soil herbicides in arable farming. In Proceedings of ICPA conference, Sacramento, USA, July 2014. Paper 1414, https://www.ispag.org/icpa

  • Kempenaar, C., van Evert, F.K., & Been, Th. (2014b). Use of vegetation indices in variable rate application of potato haulm killing herbicides. In Proceedings of ICPA conference, Sacramento, USA, July 2014. Paper 1413, https://www.ispag.org/icpa

    Google Scholar 

  • Kempenaar, C., Been, T., Booij, J. A., van Evert, F. K., Michielsen, J. M., & Kocks, C. G. (2018). Advances in variable rate technology application in potato in The Netherlands. Potato Research, 60(3–4), 295–305.

    Google Scholar 

  • Kessel, G. J. T., Mullins, E., Evenhuis, A., et al. (2018). Development and validation of IPM strategies for the cultivation of cisgenically modified late blight resistant potato. European Journal of Agronomy, 96, 146–155. https://doi.org/10.1016/j.eja.2018.01.012

    Article  Google Scholar 

  • Kroes, J. G., van Dam, J. C., Groenendijk, P., Hendriks En, R. F. A., & Jacobs, C. M. J. (2008). SWAP version 3.2: Theory description and user manual. Wageningen University & Research.

    Google Scholar 

  • Slabbekoorn, H. (2002). Stikstofbijmestsystemen in consumptieaardappelen, 2002 = N sidedress systems in ware potatoes, 2002.WUR-PPO, Westmaas.

    Google Scholar 

  • Slabbekoorn, H. (2003). Stikstofbijmestsystemen in consumptieaardappelen, 2003 = N sidedress systems in ware potatoes, 2003.WUR-PPO, Westmaas.

    Google Scholar 

  • Van der Schans, D.A. (2012). Sensorgestuurde advisering van stikstof bijbemesting in aardappel: implementatie en integratie Praktijkonderzoek Plant & Omgeving, Business Unit Akkerbouw, Groene Ruimte en Vollegrond[s]groenten, .

    Google Scholar 

  • Van Evert, F. K., Van der Schans, D. A., Malda, J. T., Van den Berg, W., Van Geel, W. C. A., & Jukema, J. N. (2011). Geleide N-bemesting voor aardappelen op basis van gewasreflectie-metingen: Integratie van sensormetingen in een N-bijmestsysteem (PPO Rapport 423). Praktijkonderzoek Plant & Omgeving (PPO), Lelystad.

    Google Scholar 

  • Van Evert, F. K., Booij, R., Jukema, J. N., Ten Berge, H. F. M., Uenk, D., Meurs, E. J. J., et al. (2012). Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield. European Journal of Agronomy, 43, 58–67. https://doi.org/10.1016/j.eja.2012.05.005

    Article  CAS  Google Scholar 

  • Van Evert, F. K., Gaitán-Cremaschi, D., Fountas, S., & Kempenaar, C. (2017a). Can precision agriculture increase the profitability and sustainability of the production of potatoes and olives? Sustainability, 9(10), 1863–1886. https://doi.org/10.3390/su9101863

    Article  Google Scholar 

  • Van Evert, F. K., Fountas, S., Jakovetic, D., et al. (2017b). Big data for weed control and crop protection. Weed Research, 57, 218–233. https://doi.org/10.1111/wre.12255

    Article  Google Scholar 

  • Van Geel, W. C. A., & Van der Schans, D. A. (2015). Toepassing van NBS-aardappelsensing in de teelt van zetmeelaardappelen: IJkakker, veldproef 2014 ’t Kompas Praktijkonderzoek Plant & Omgeving, onderdeel van Wageningen UR. Business Unit Akkerbouw, Groene ruimte en Vollegrondgroenten.

    Google Scholar 

  • Van Geel, W. C. A., Wijnholds, K. H., Grashoff, C.. (2004). Ontwikkeling van geleide bemestingssystemen bij de teelt van zetmeelaardappelen 2002–2003 (Development of guided fertilization for starch potatoes in 2002–2003). WUR-PPO.

    Google Scholar 

  • Van Geel, W. C. A., Kroonen-Backbier, B. M. A., Van der Schans, D. A., & Malda, J. T. (2014). Nieuwe bijmestsystemen en -strategieën voor aardappel op zand- en lössgrond. Deel 2: resultaten veldproeven 2012 en 2013 (p. 66). PPO-AGV.

    Google Scholar 

  • Van Oort, P.A.J., Van Evert, F. K., & Kempenaar, C. (2020). Calibration of the Tipstar potato model using remote sensing data. Second International Crop Modelling Symposium (iCROPM2020). Montpellier.

    Google Scholar 

  • Vinten, A. J. A. (1999). Predicting nitrate leaching from drained arable soils derived from glacial till. Journal of Environmental Quality, 28, 988–996.

    Article  CAS  Google Scholar 

  • Wikipedia. (2020, May 13). https://en.wikipedia.org/wiki/precision_agriculture

Download references

Conflict of Interest

The authors declare that they are employed by the Wageningen University & Research, which is the sole member of the not-for-profit foundation that owns and exploits Akkerweb and farmmaps.

Author information

Authors and Affiliations

  1. Agrosystems Research, Wageningen University & Research, Wageningen, The Netherlands

    Thomas H. Been, Corné Kempenaar, Frits K. van Evert, Fedde D. Sijbrandij & Koen van Boheemen

  2. Livestock & Environment, Wageningen University & Research, Wageningen, The Netherlands

    Idse E. Hoving

  3. Open Field Crops, Wageningen University & Research, Wageningen, The Netherlands

    Geert J. T. Kessel, Johan A. Booij & Leendert P. G. Molendijk

  4. Dobs Automatisering b.v, Wageningen, The Netherlands

    Willem Dantuma

Authors
  1. Thomas H. Been
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Corné Kempenaar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Frits K. van Evert
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Idse E. Hoving
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Geert J. T. Kessel
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Willem Dantuma
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Johan A. Booij
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Leendert P. G. Molendijk
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Fedde D. Sijbrandij
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Koen van Boheemen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Corné Kempenaar .

Editor information

Editors and Affiliations

  1. Department of Agroecology, iClimate, Centre for Circular Bioeconomy (CBIO), Aarhus University, Tjele, Denmark

    Davide Cammarano

  2. Agrosystems Research, Wageningen University & Research, Wageningen, The Netherlands

    Frits K. van Evert

  3. Agrosystems Research, Wageningen University & Research, Wageningen, The Netherlands

    Corné Kempenaar

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Been, T.H. et al. (2023). Akkerweb and farmmaps: Development of Open Service Platforms for Precision Agriculture. In: Cammarano, D., van Evert, F.K., Kempenaar, C. (eds) Precision Agriculture: Modelling. Progress in Precision Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-031-15258-0_16

Download citation

Publish with us

Policies and ethics

Search

Navigation