{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,7]],"date-time":"2025-12-07T09:05:51Z","timestamp":1765098351344,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2020,6,28]],"date-time":"2020-06-28T00:00:00Z","timestamp":1593302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>Pasture quality monitoring is a key element in the decision making process of a farm manager. Laboratory reference methods for assessing quality parameters such as crude protein (CP) or fibers (neutral detergent fiber: NDF) require collection and analytical procedures involving technicians, time, and reagents, making them laborious and expensive. The objective of this work was to evaluate two technological and expeditious approaches for estimating and monitoring the evolution of the quality parameters in biodiverse Mediterranean pastures: (i) near infrared spectroscopy (NIRS) combined with multivariate data analysis and (ii) remote sensing (RS) based on Sentinel-2 imagery to calculate the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI). Between February 2018 and March 2019, 21 sampling processes were carried out in nine fields, totaling 398 pasture samples, of which 315 were used during the calibration phase and 83 were used during the validation phase of the NIRS approach. The average reference values of pasture moisture content (PMC), CP, and NDF, obtained in 24 tests carried out between January and May 2019 in eight fields, were used to evaluate the RS accuracy. The results of this study showed significant correlation between NIRS calibration models or spectral indices obtained by remote sensing (NDVIRS and NDWIRS) and reference methods for quantifying pasture quality parameters, both of which open up good prospects for technological-based service providers to develop applications that enable the dynamic management of animal grazing.<\/jats:p>","DOI":"10.3390\/app10134463","type":"journal-article","created":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T03:40:07Z","timestamp":1593402007000},"page":"4463","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Evaluation of Near Infrared Spectroscopy (NIRS) and Remote Sensing (RS) for Estimating Pasture Quality in Mediterranean Montado Ecosystem"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5178-8158","authenticated-orcid":false,"given":"Jo\u00e3o","family":"Serrano","sequence":"first","affiliation":[{"name":"MED-Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investiga\u00e7\u00e3o e Forma\u00e7\u00e3o Avan\u00e7ada, Universidade de \u00c9vora, P\u00f3lo da Mitra, Ap. 94, 7006-554 \u00c9vora, Portugal"}]},{"given":"Shakib","family":"Shahidian","sequence":"additional","affiliation":[{"name":"MED-Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investiga\u00e7\u00e3o e Forma\u00e7\u00e3o Avan\u00e7ada, Universidade de \u00c9vora, P\u00f3lo da Mitra, Ap. 94, 7006-554 \u00c9vora, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0305-8147","authenticated-orcid":false,"given":"Jos\u00e9","family":"Marques da Silva","sequence":"additional","affiliation":[{"name":"MED-Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investiga\u00e7\u00e3o e Forma\u00e7\u00e3o Avan\u00e7ada, Universidade de \u00c9vora, P\u00f3lo da Mitra, Ap. 94, 7006-554 \u00c9vora, Portugal"},{"name":"AgroInsider Lda. (spin-off da Universidade de \u00c9vora), 7005-841 \u00c9vora, Portugal"}]},{"given":"Lu\u00eds","family":"Paix\u00e3o","sequence":"additional","affiliation":[{"name":"AgroInsider Lda. (spin-off da Universidade de \u00c9vora), 7005-841 \u00c9vora, Portugal"}]},{"given":"Emanuel","family":"Carreira","sequence":"additional","affiliation":[{"name":"MED-Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investiga\u00e7\u00e3o e Forma\u00e7\u00e3o Avan\u00e7ada, Universidade de \u00c9vora, P\u00f3lo da Mitra, Ap. 94, 7006-554 \u00c9vora, Portugal"}]},{"given":"Rafael","family":"Carmona-Cabezas","sequence":"additional","affiliation":[{"name":"Complex Geometry, Patterns and Scaling in Natural and Human Phenomena (GEPENA) Research Group, University of Cordoba, Gregor Mendel Building (3rd Floor), Campus Rabanales, 14071 Cordoba, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3092-4349","authenticated-orcid":false,"given":"Julio","family":"Nogales-Bueno","sequence":"additional","affiliation":[{"name":"MED-Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investiga\u00e7\u00e3o e Forma\u00e7\u00e3o Avan\u00e7ada, Universidade de \u00c9vora, P\u00f3lo da Mitra, Ap. 94, 7006-554 \u00c9vora, Portugal"},{"name":"Food Colour and Quality Laboratory, \u00c1rea de Nutrici\u00f3n y Bromatolog\u00eda, Facultad de Farmacia, Universidad de Sevilla, 41012 Sevilla, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5267-3723","authenticated-orcid":false,"given":"Ana Elisa","family":"Rato","sequence":"additional","affiliation":[{"name":"MED-Mediterranean Institute for Agriculture, Environment and Development, Instituto de Investiga\u00e7\u00e3o e Forma\u00e7\u00e3o Avan\u00e7ada, Universidade de \u00c9vora, P\u00f3lo da Mitra, Ap. 94, 7006-554 \u00c9vora, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Serrano, J., Shahidian, S., and Marques da Silva, J. 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