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- W4382867114 abstract "In this study, carried out in a biodiverse pasture field in the Mediterranean region of Southern Portugal, the vegetation index (NDVI, normalized difference vegetation index) obtained from measurements by a proximal optical sensor (PS) and satellite remote sensed (RS) images was used to assess pasture quality parameters (pasture moisture content, PMC, crude protein, CP and neutral detergent fibre, NDF). The monitoring was carried out throughout the 2021/2022 pasture growing season. Significant correlations were obtained between the NDVI obtained by PS and RS and between NDVI (PS and RS) and the reference values of pasture parameters obtained in laboratory protocols. These results show the pertinence of these technologies in supporting the decision making process of the farm manager." @default.
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- W4382867114 date "2023-07-02" @default.
- W4382867114 modified "2023-10-16" @default.
- W4382867114 title "126. Pasture quality monitoring based on proximal and remote optical sensors: case study in the Montado Mediterranean ecosystem" @default.
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- W4382867114 doi "https://doi.org/10.3920/978-90-8686-947-3_126" @default.
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