A field experiment (September 2016 - July 2018) was carried out in Monteroni D’Arbia, Tuscany, Italy to compare three old genotypes (Andriolo, Sieve and Verna) of bread wheat to the modern cultivar Bologna. Sentinel-2A images were collected and analysed using QGIS program to calculate five vegetation indices (NDVI, NDRE, GNDVI, CCCI, SAVI). The results of the field campaign showed that the vegetation indices calculated from Sentinel-2A bands showed satisfactory correlations with respect to protein content and grain dry biomass. Sentinel-2A vegetation indices were shown to be suitable for supporting precision agriculture in old bread wheat varieties fields.
Adopting precision agriculture to improve the cultivation of old wheat varieties in Tuscany (Italy) / Carolina Fabbri, Marco Napoli, Marco Mancini, Giada Brandani, Roberto Vivoli, Simone Orlandini. - STAMPA. - (2019), pp. 461-467. (Intervento presentato al convegno The 12th European Conference on Precision Agriculture tenutosi a Montpellier nel 8-11 July 2019) [10.3920/978-90-8686-888-9_57].
Adopting precision agriculture to improve the cultivation of old wheat varieties in Tuscany (Italy)
Carolina FabbriWriting – Original Draft Preparation
;Marco Napoli
Formal Analysis
;Marco ManciniInvestigation
;Giada BrandaniMembro del Collaboration Group
;Simone OrlandiniSupervision
2019
Abstract
A field experiment (September 2016 - July 2018) was carried out in Monteroni D’Arbia, Tuscany, Italy to compare three old genotypes (Andriolo, Sieve and Verna) of bread wheat to the modern cultivar Bologna. Sentinel-2A images were collected and analysed using QGIS program to calculate five vegetation indices (NDVI, NDRE, GNDVI, CCCI, SAVI). The results of the field campaign showed that the vegetation indices calculated from Sentinel-2A bands showed satisfactory correlations with respect to protein content and grain dry biomass. Sentinel-2A vegetation indices were shown to be suitable for supporting precision agriculture in old bread wheat varieties fields.
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