Universitat de Lleida
    • English
    • català
    • español
  • English 
    • English
    • català
    • español
  • Login
Repositori Obert UdL
View Item 
  •   Home
  • Recerca
  • Enginyeria Agroforestal
  • Articles publicats (Enginyeria Agroforestal)
  • View Item
  •   Home
  • Recerca
  • Enginyeria Agroforestal
  • Articles publicats (Enginyeria Agroforestal)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Setting the optimal length to be scanned in rows of vines by using mobile terrestrial laser scanners

Thumbnail
View/Open
Postprint (291.8Kb)
Issue date
2017
Author
Arnó Satorra, Jaume
Escolà i Agustí, Alexandre
Rosell Polo, Joan Ramon
Suggested citation
Arnó Satorra, Jaume; Escolà i Agustí, Alexandre; Rosell Polo, Joan Ramon; . (2017) . Setting the optimal length to be scanned in rows of vines by using mobile terrestrial laser scanners. Precision Agriculture, 2017, vol. 18, núm. 2, p. 145-151. https://doi.org/10.1007/s11119-016-9451-z.
Impact


Web of Science logo    citations in Web of Science

Scopus logo    citations in Scopus

Google Scholar logo  Google Scholar
Share
Export to Mendeley
Metadata
Show full item record
Abstract
Mapping the leaf area index (LAI) by using mobile terrestrial laser scanners (MTLS) is of significance for viticulture. LAI is related to plant vigour and foliar development being an important parameter for many agricultural practices. Since it may present spatial variability within vineyards, it is very interesting monitoring it in an objective repeatable way. Considering the possibility of using on-the-go sensors such as MTLS within an agricultural plot, it is necessary to set a proper length of the row to be scanned at each sample point for a reliable operation of the scanner. Three different row length sections of 0.5, 1, and 2 m have been tested. Data analysis has shown that models required to estimate LAI differ significantly depending on the scanned length of the row; the model required to estimate LAI for short sections (0.5 m) is different from that required for longer sections (1 and 2 m). Of the two models obtained, we recommend using MTLS for scanning row length sections of 1 m because the practical use of the sensor in the field is simplified without compromising the results (there is little variation in the model when the row length section changes from 1 to 2 m). In addition, a sufficient number of sampling points is obtained to support a map of the LAI. Linear regression models using as explanatory variable the tree area index, obtained from the data provided by the scanner, are used to estimate the LAI.
URI
http://hdl.handle.net/10459.1/59391
DOI
https://doi.org/10.1007/s11119-016-9451-z
Is part of
Precision Agriculture, 2017, vol. 18, núm. 2, p. 145-151
European research projects
Collections
  • Articles publicats (Enginyeria Agroforestal) [368]
  • Articles publicats (Grup de Recerca en AgròTICa i Agricultura de Precisió) [114]
  • Publicacions de projectes de recerca del Plan Nacional [2661]
  • Articles publicats (Agrotecnio Center) [1202]

Contact Us | Send Feedback | Legal Notice
© 2022 BiD. Universitat de Lleida
Metadata subjected to 
 

 

Browse

All of the repositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

Statistics

View Usage Statistics

D'interès

Política institucional d'accés obertDiposita les teves publicacionsDiposita dades de recercaSuport a la recerca

Contact Us | Send Feedback | Legal Notice
© 2022 BiD. Universitat de Lleida
Metadata subjected to