Remote sensing (RS) platforms such as unmanned aerial vehicles (UAVs) represent an essential source of information in precision agriculture (PA) as they are able to provide images on a daily basis and at a very high resolution. In this framework, this study aims to identify the optimal level of nitrogen (N)-based nutrients for improved productivity in an onion field of “Cipolla Rossa di Tropea” (Tropea red onion). Following an experiment that involved the arrangement of nine plots in the onion field in a randomized complete block design (RCBD), with three replications, three different levels of N fertilization were compared: N150 (150 kg N ha−1), N180 (180 kg N ha−1), and e N210 (210 kg N ha−1). The crop cycle was monitored using multispectral (MS) UAV imagery, producing vigor maps and taking into account the yield of data. The soil-adjusted vegetation index (SAVI) was used to monitor the vigor of the crop. In addition, the coverage’s class onion was spatially identified using geographical object-based image classification (GEOBIA), observing differences in SAVI values obtained in plots subjected to differentiated N fertilizer treatment. The information retrieved from the analysis of soil properties (electrical conductivity, ammonium and nitrate nitrogen), yield performance and mean SAVI index data from each field plot showed significant relationships between the different indicators investigated. A higher onion yield was evident in plot N180, in which SAVI values were higher based on the production data.

Monitoring onion crop “cipolla rossa di tropea calabria igp” growth and yield response to varying nitrogen fertilizer application rates using uav imagery / Messina, G.; Pratico', S.; Badagliacca, G.; Di Fazio, S.; Monti, M.; Modica, G.. - In: DRONES. - ISSN 2504-446X. - 5:3(2021), p. 61. [10.3390/drones5030061]

Monitoring onion crop “cipolla rossa di tropea calabria igp” growth and yield response to varying nitrogen fertilizer application rates using uav imagery

Messina G.;Pratico' S.;Badagliacca G.
;
Di Fazio S.;Monti M.;Modica G.
2021-01-01

Abstract

Remote sensing (RS) platforms such as unmanned aerial vehicles (UAVs) represent an essential source of information in precision agriculture (PA) as they are able to provide images on a daily basis and at a very high resolution. In this framework, this study aims to identify the optimal level of nitrogen (N)-based nutrients for improved productivity in an onion field of “Cipolla Rossa di Tropea” (Tropea red onion). Following an experiment that involved the arrangement of nine plots in the onion field in a randomized complete block design (RCBD), with three replications, three different levels of N fertilization were compared: N150 (150 kg N ha−1), N180 (180 kg N ha−1), and e N210 (210 kg N ha−1). The crop cycle was monitored using multispectral (MS) UAV imagery, producing vigor maps and taking into account the yield of data. The soil-adjusted vegetation index (SAVI) was used to monitor the vigor of the crop. In addition, the coverage’s class onion was spatially identified using geographical object-based image classification (GEOBIA), observing differences in SAVI values obtained in plots subjected to differentiated N fertilizer treatment. The information retrieved from the analysis of soil properties (electrical conductivity, ammonium and nitrate nitrogen), yield performance and mean SAVI index data from each field plot showed significant relationships between the different indicators investigated. A higher onion yield was evident in plot N180, in which SAVI values were higher based on the production data.
2021
Geographic object-based image analysis GEOBIA)
Multiresolution segmentation
Multispectral (MS) imagery
Precision agriculture (PA)
Soil-adjusted vegetation index (SAVI)
Tropea red onion
File in questo prodotto:
File Dimensione Formato  
Messina_2021_drones_Monitoring_editor.pdf

accesso aperto

Descrizione: Versione dell'editore - OPEN ACCESS
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 43.34 MB
Formato Adobe PDF
43.34 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/110897
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 249
  • ???jsp.display-item.citation.isi??? 16
social impact