HyNutri: estimating the nutritional composition of wheat from multi-temporal PRISMA data

M. Belgiu, M.T. Marshall, Mirco Boschetti, Monica Pepe, A. Stein, C. Lievens

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
6 Downloads (Pure)

Abstract

The goal of this work is to investigate the potential of PRecursore IperSpettrale della Missione Applicativa (PRISMA) hyperspectral data to predict the concentration of four macronutrients (K, P, N, S) and four micronutrients (Ca, Fe, Mg, Zn) in final wheat production. All investigated nutrients are essential to improving human nutrition. The initial findings indicate accurate predictions for Zn, P, Mg, S, K, Ca and Fe (R2 ranging from 0.57 to 0.74). N was less accurately estimated (R2 of 0.49). We conclude that the foliar chemical properties and temporal dynamics as detected by hyperspectral data translate successfully to the target micro- and macronutrients composition of the wheat production.
Original languageEnglish
Title of host publication2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
PublisherIEEE
Pages471-474
Number of pages4
ISBN (Electronic)978-1-6654-0369-6
DOIs
Publication statusPublished - 12 Oct 2021
EventIEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021 - Brussels, Virtual Conference, Belgium
Duration: 12 Jul 202116 Jul 2021
https://igarss2021.com

Conference

ConferenceIEEE- International Geoscience and Remote Sensing Symposium- IGARSS 2021
Abbreviated titleIGARSS 2021
Country/TerritoryBelgium
CityVirtual Conference
Period12/07/2116/07/21
Internet address

Keywords

  • 22/1 OA procedure

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