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


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 publicationPaper presented at IGARSS 2021, Brussels, Belgium
Publication statusPublished - 2021

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