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

doi:10.1109/IGARSS47720.2021.9553614

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 proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

139 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 language	English
Title of host publication	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	471-474
Number of pages	4
ISBN (Electronic)	978-1-6654-0369-6, 978-1-6654-0368-9 (USB)
ISBN (Print)	978-1-6654-4762-1
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9553614
Publication status	Published - 12 Oct 2021
Event	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Brussels, Belgium Duration: 12 Jul 2021 → 16 Jul 2021 https://igarss2021.com

Conference

Conference	2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Abbreviated title	IGARSS 2021
Country/Territory	Belgium
City	Brussels
Period	12/07/21 → 16/07/21
Internet address	https://igarss2021.com

Keywords

22/1 OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IGARSS47720.2021.9553614

ArticleFinal published version, 647 KBLicence: Taverne

Cite this

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title = "HyNutri: estimating the nutritional composition of wheat from multi-temporal PRISMA data",

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.",

keywords = "22/1 OA procedure",

author = "M. Belgiu and M.T. Marshall and Mirco Boschetti and Monica Pepe and A. Stein and C. Lievens",

year = "2021",

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language = "English",

isbn = "978-1-6654-4762-1",

pages = "471--474",

booktitle = "2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",

publisher = "IEEE",

address = "United States",

note = "2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, IGARSS 2021 ; Conference date: 12-07-2021 Through 16-07-2021",

url = "https://igarss2021.com",

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Belgiu, M , Marshall, MT, Boschetti, M, Pepe, M, Stein, A & Lievens, C 2021, HyNutri: estimating the nutritional composition of wheat from multi-temporal PRISMA data. in 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. IEEE, Piscataway, NJ, pp. 471-474, 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, 12/07/21. https://doi.org/10.1109/IGARSS47720.2021.9553614

HyNutri: estimating the nutritional composition of wheat from multi-temporal PRISMA data. / Belgiu, M.; Marshall, M.T.; Boschetti, Mirco et al.
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Piscataway, NJ: IEEE, 2021. p. 471-474.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - HyNutri: estimating the nutritional composition of wheat from multi-temporal PRISMA data

AU - Belgiu, M.

AU - Marshall, M.T.

AU - Boschetti, Mirco

AU - Pepe, Monica

AU - Stein, A.

AU - Lievens, C.

PY - 2021/10/12

Y1 - 2021/10/12

N2 - 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.

AB - 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.

KW - 22/1 OA procedure

U2 - 10.1109/IGARSS47720.2021.9553614

DO - 10.1109/IGARSS47720.2021.9553614

M3 - Conference contribution

SN - 978-1-6654-4762-1

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EP - 474

BT - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS

PB - IEEE

CY - Piscataway, NJ

T2 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021

Y2 - 12 July 2021 through 16 July 2021

ER -

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

Abstract

Conference

Keywords

UN SDGs

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Cite this