Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945292609> ?p ?o ?g. }
- W2945292609 endingPage "163" @default.
- W2945292609 startingPage "155" @default.
- W2945292609 abstract "Precision Viticulture requires very fine-scale spatial and temporal resolution to assess quite accurately variation in a vineyard. Many studies have used proximal sensing technology and spatial-temporal data analysis to characterize the local variation of plant vigour over time. The objective of this study was to present the potential of multivariate geostatistical techniques to fuse multi-temporal data from a multi-band radiometer and a geophysical sensor with different support for delineation of a vineyard into homogeneous zones, to be submitted to differential agricultural management. The study was conducted in a commercial table grape vineyard located in southern Greece during the years 2016 and 2017. Soil electrical conductivity was measured using an EM38 sensor, while Crop Circle canopy sensor, with the sensor located at 1.5 m height from the soil surface and 1.2 m horizontally from the vines, was used for scanning the side canopy area at different crop stages. The temporal multi-sensor data were analysed with the geostatistical data fusion techniques of block cokriging, to produce thematic maps, and factorial block cokriging to estimate synthetic scale-dependent regionalized factors. The factor maps at different scales are characterised by random variability with several micro-structures of different plant and soil properties, which leads to difficulties in delineating macro-areas with homogeneous features. In such conditions, high resolution VRA technology should be preferred to management by homogeneous zones for precision viticulture. The results have shown the potential of the proposed approach to deal with multi-source data in precision viticulture. However, further statistical research on data fusion of the outcomes from different sensors is still needed." @default.
- W2945292609 created "2019-05-29" @default.
- W2945292609 creator A5040197484 @default.
- W2945292609 creator A5044001756 @default.
- W2945292609 creator A5058362370 @default.
- W2945292609 creator A5065103596 @default.
- W2945292609 date "2019-09-01" @default.
- W2945292609 modified "2023-10-12" @default.
- W2945292609 title "A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece" @default.
- W2945292609 cites W142145273 @default.
- W2945292609 cites W1799780515 @default.
- W2945292609 cites W1969568499 @default.
- W2945292609 cites W1970027156 @default.
- W2945292609 cites W1970703547 @default.
- W2945292609 cites W1971874701 @default.
- W2945292609 cites W1978331315 @default.
- W2945292609 cites W1979081093 @default.
- W2945292609 cites W1980711477 @default.
- W2945292609 cites W2009476132 @default.
- W2945292609 cites W2021341621 @default.
- W2945292609 cites W2059345907 @default.
- W2945292609 cites W2061160268 @default.
- W2945292609 cites W2079853267 @default.
- W2945292609 cites W2115315327 @default.
- W2945292609 cites W2117131488 @default.
- W2945292609 cites W2137608957 @default.
- W2945292609 cites W2143401032 @default.
- W2945292609 cites W2144126234 @default.
- W2945292609 cites W2157471999 @default.
- W2945292609 cites W2157760685 @default.
- W2945292609 cites W2164397352 @default.
- W2945292609 cites W2165703940 @default.
- W2945292609 cites W2288883944 @default.
- W2945292609 cites W2475266777 @default.
- W2945292609 cites W2765298315 @default.
- W2945292609 cites W2770073827 @default.
- W2945292609 cites W2772753146 @default.
- W2945292609 cites W2804309140 @default.
- W2945292609 cites W2809985736 @default.
- W2945292609 cites W2902768901 @default.
- W2945292609 cites W52046274 @default.
- W2945292609 doi "https://doi.org/10.1016/j.scitotenv.2019.05.324" @default.
- W2945292609 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31153064" @default.
- W2945292609 hasPublicationYear "2019" @default.
- W2945292609 type Work @default.
- W2945292609 sameAs 2945292609 @default.
- W2945292609 citedByCount "21" @default.
- W2945292609 countsByYear W29452926092019 @default.
- W2945292609 countsByYear W29452926092020 @default.
- W2945292609 countsByYear W29452926092021 @default.
- W2945292609 countsByYear W29452926092022 @default.
- W2945292609 countsByYear W29452926092023 @default.
- W2945292609 crossrefType "journal-article" @default.
- W2945292609 hasAuthorship W2945292609A5040197484 @default.
- W2945292609 hasAuthorship W2945292609A5044001756 @default.
- W2945292609 hasAuthorship W2945292609A5058362370 @default.
- W2945292609 hasAuthorship W2945292609A5065103596 @default.
- W2945292609 hasConcept C105795698 @default.
- W2945292609 hasConcept C118518473 @default.
- W2945292609 hasConcept C119666444 @default.
- W2945292609 hasConcept C120217122 @default.
- W2945292609 hasConcept C121332964 @default.
- W2945292609 hasConcept C154945302 @default.
- W2945292609 hasConcept C166957645 @default.
- W2945292609 hasConcept C205649164 @default.
- W2945292609 hasConcept C2778755073 @default.
- W2945292609 hasConcept C2780924976 @default.
- W2945292609 hasConcept C33923547 @default.
- W2945292609 hasConcept C33954974 @default.
- W2945292609 hasConcept C39432304 @default.
- W2945292609 hasConcept C41008148 @default.
- W2945292609 hasConcept C58640448 @default.
- W2945292609 hasConcept C62520636 @default.
- W2945292609 hasConcept C62649853 @default.
- W2945292609 hasConcept C93692415 @default.
- W2945292609 hasConcept C94747663 @default.
- W2945292609 hasConceptScore W2945292609C105795698 @default.
- W2945292609 hasConceptScore W2945292609C118518473 @default.
- W2945292609 hasConceptScore W2945292609C119666444 @default.
- W2945292609 hasConceptScore W2945292609C120217122 @default.
- W2945292609 hasConceptScore W2945292609C121332964 @default.
- W2945292609 hasConceptScore W2945292609C154945302 @default.
- W2945292609 hasConceptScore W2945292609C166957645 @default.
- W2945292609 hasConceptScore W2945292609C205649164 @default.
- W2945292609 hasConceptScore W2945292609C2778755073 @default.
- W2945292609 hasConceptScore W2945292609C2780924976 @default.
- W2945292609 hasConceptScore W2945292609C33923547 @default.
- W2945292609 hasConceptScore W2945292609C33954974 @default.
- W2945292609 hasConceptScore W2945292609C39432304 @default.
- W2945292609 hasConceptScore W2945292609C41008148 @default.
- W2945292609 hasConceptScore W2945292609C58640448 @default.
- W2945292609 hasConceptScore W2945292609C62520636 @default.
- W2945292609 hasConceptScore W2945292609C62649853 @default.
- W2945292609 hasConceptScore W2945292609C93692415 @default.
- W2945292609 hasConceptScore W2945292609C94747663 @default.
- W2945292609 hasLocation W29452926091 @default.
- W2945292609 hasLocation W29452926092 @default.
- W2945292609 hasOpenAccess W2945292609 @default.