IRIS Catalogo Istituzionale della Ricerca dell'Università degli Studi del Molise
IRIS è il Catalogo Istituzionale della Ricerca dell'Università degli Studi del Molise ed ha lo scopo di consentire la conservazione e la consultazione delle informazioni sulla produzione scientifica dell'Ateneo.
EnglishAn agronomic research was conducted to evaluate the spatial variability of an onion crop, with the aim to test Vegetation indices (VIs) as a tool to detect different yield areas. Eleven VIs were derived from geo-referred hyperspectral readings taken at bulbification stage. Eight VIs showed significant regressions with yield, and grouped in four clusters according to statistical analysis (H = high; Ms and Mi as medium superior and inferior; L = low). Maps were elaborated with ordinary Kriging. At a visual assessment, many VIs appeared similar to yield map. The surface analysis revealed that all VIs accurately detected an L area (top of maps) characterized by heavy soil constrains, and the H area on the left side of the map (button and upper part). The best estimation of the total field yield was obtained by the so-called Soil-line vegetation indices and in particular by TSAVI. This study reinforces the possibility of assessing onion yield by spectroradiometric measurements at field scale.
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.compag.2015.06.014 |
| Codice identificativo ISI: | WOS:000359887500012 |
| Codice identificativo Scopus: | 2-s2.0-84932623768 |
| Handle: | http://hdl.handle.net/11695/6200 |
| URL: | http://www.sciencedirect.com/science/article/pii/S016816991500191X |
| Abstract: | An agronomic research was conducted to evaluate the spatial variability of an onion crop, with the aim to test Vegetation indices (VIs) as a tool to detect different yield areas. Eleven VIs were derived from geo-referred hyperspectral readings taken at bulbification stage. Eight VIs showed significant regressions with yield, and grouped in four clusters according to statistical analysis (H = high; Ms and Mi as medium superior and inferior; L = low). Maps were elaborated with ordinary Kriging. At a visual assessment, many VIs appeared similar to yield map. The surface analysis revealed that all VIs accurately detected an L area (top of maps) characterized by heavy soil constrains, and the H area on the left side of the map (button and upper part). The best estimation of the total field yield was obtained by the so-called Soil-line vegetation indices and in particular by TSAVI. This study reinforces the possibility of assessing onion yield by spectroradiometric measurements at field scale. |
| Titolo: | Hyperspectral vegetation indices for predicting onion (Allium cepa L.) yield spatial variability |
| Autori: | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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