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International Conference on Information and Communication Technologies in Agriculture, Food & Environment

HAICTA 2017: Information and Communication Technologies in Modern Agricultural Development pp 164–176Cite as

Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 953))

Abstract

Recently, the area of passive remote sensing in agricultural fields has been developing fast. The prices of RPAS (remotely piloted aircraft system) equipment has gone down, new suitable sensors are coming into markets while simultaneously new and free relevant satellite data has become available. One of the most used applications for these methodologies is to calculate the relative biomass as a basis for additional nitrogen fertilization. In this work, we study the difference of biomass estimations based on Sentinel-2 imagery, tractor implemented commercial measurement system, a low-cost RPAS equipment with commercial software and a hyperspectral imaging system implemented in a professional RPAS system in the fertilization planning. There was a 23% spatial variation in our malt barley yield. Different relative biomass estimations produced similar and sufficient results and the observation time or the used methodology was not very critical. Also none of the methodologies were remarkably better. When we generated the nitrogen fertilization application tasks, different reasonable parameters conducted very different application tasks. This means that in our case, the relative biomass does not provide sufficient information for nitrogen shortage variation. Knowledge of the local conditions is essential.

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Acknowledgments

We acknowledge ESA (ESRIN/Contract No. 4000117401/16/I-NB) and Business Finland (1617/31/2016) for funding the project.

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Authors and Affiliations

  1. Natural Resources Institute Finland (LUKE), Korkeakoulunkatu 7, 33720, Tampere, Finland

    Jere Kaivosoja

  2. Finnish Geospatial Research Institute, Geodeetinrinne 2, 02430, Masala, Finland

    Roope Näsi, Teemu Hakala, Niko Viljanen & Eija Honkavaara

Authors
  1. Jere Kaivosoja
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  2. Roope Näsi
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  3. Teemu Hakala
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  4. Niko Viljanen
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  5. Eija Honkavaara
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Corresponding author

Correspondence to Jere Kaivosoja .

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Editors and Affiliations

  1. TEI of Thessaloniki, Thessaloniki, Greece

    Michail Salampasis

  2. Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thomas Bournaris

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Kaivosoja, J., Näsi, R., Hakala, T., Viljanen, N., Honkavaara, E. (2019). Different Remote Sensing Data in Relative Biomass Determination and in Precision Fertilization Task Generation for Cereal Crops. In: Salampasis, M., Bournaris, T. (eds) Information and Communication Technologies in Modern Agricultural Development. HAICTA 2017. Communications in Computer and Information Science, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-12998-9_12

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  • DOI: https://doi.org/10.1007/978-3-030-12998-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12997-2

  • Online ISBN: 978-3-030-12998-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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