In recent years, there has been an increasing need to implement sustainability in agricultural systems, especially for the risks associated with soil degradation. Cover crops are widely recognised and adopted for sustainable vineyard management, reducing soil and water losses, restoring organic matter, and increasing soil fertility. Therefore, it is necessary to determine the biomass development of cover crops using alternative and innovative methods. High-resolution UAV-based (Unmanned Aerial Vehicle) multispectral images can be used for this purpose, giving significant information for monitoring the seasonal growth variation of crops. The aim of this research was to study the biomass vigour spatial variability of cover crops and vineyard evaluating the possible correlation between cover crop and vineyard vigour values. Cover crop biomass was monitored by sampling during flowering, measuring fresh weight and dry weight. The multispectral images were obtained with the use of a UAV before cover crops were buried (March); the spectral response of the vineyard was evaluated with UAV flights during the summer period. The analysis of the vigour maps obtained showed a degree of variability for the vegetation index examined. This variability was found both on the cover crop biomass development and on the vegetative growth of the vineyard. The results showed the applicability of remote sensing to monitor cover crop and vineyard biomass development, explaining the overall variability of the field. This information allows the application of the appropriate agronomic techniques to improve the quality of the production.

Catania P., Ferro M.V., Roma E., Orlando S., Vallone M. (2023). Assessment of Vine and Cover Crop Vegetation Indices Using High-Resolution Images Acquired by UAV Platform. In V. Ferro, G. Giordano, S. Orlando, M. Vallone, G. Cascone, S. Porto (a cura di), AIIA 2022: Biosystems Engineering Towards the Green Deal: Improving the Resilience of Agriculture, Forestry and Food Systems in the Post-Covid Era (pp. 447-455). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-30329-6_46].

Assessment of Vine and Cover Crop Vegetation Indices Using High-Resolution Images Acquired by UAV Platform

Catania P.;Ferro M. V.;Roma E.
;
Orlando S.;Vallone M.
2023-01-01

Abstract

In recent years, there has been an increasing need to implement sustainability in agricultural systems, especially for the risks associated with soil degradation. Cover crops are widely recognised and adopted for sustainable vineyard management, reducing soil and water losses, restoring organic matter, and increasing soil fertility. Therefore, it is necessary to determine the biomass development of cover crops using alternative and innovative methods. High-resolution UAV-based (Unmanned Aerial Vehicle) multispectral images can be used for this purpose, giving significant information for monitoring the seasonal growth variation of crops. The aim of this research was to study the biomass vigour spatial variability of cover crops and vineyard evaluating the possible correlation between cover crop and vineyard vigour values. Cover crop biomass was monitored by sampling during flowering, measuring fresh weight and dry weight. The multispectral images were obtained with the use of a UAV before cover crops were buried (March); the spectral response of the vineyard was evaluated with UAV flights during the summer period. The analysis of the vigour maps obtained showed a degree of variability for the vegetation index examined. This variability was found both on the cover crop biomass development and on the vegetative growth of the vineyard. The results showed the applicability of remote sensing to monitor cover crop and vineyard biomass development, explaining the overall variability of the field. This information allows the application of the appropriate agronomic techniques to improve the quality of the production.
2023
Settore AGR/09 - Meccanica Agraria
978-3-031-30328-9
978-3-031-30329-6
Catania P., Ferro M.V., Roma E., Orlando S., Vallone M. (2023). Assessment of Vine and Cover Crop Vegetation Indices Using High-Resolution Images Acquired by UAV Platform. In V. Ferro, G. Giordano, S. Orlando, M. Vallone, G. Cascone, S. Porto (a cura di), AIIA 2022: Biosystems Engineering Towards the Green Deal: Improving the Resilience of Agriculture, Forestry and Food Systems in the Post-Covid Era (pp. 447-455). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-30329-6_46].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/607399
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