dc.contributor.author
Arnó Satorra, Jaume
dc.contributor.author
Martínez Casasnovas, José Antonio
dc.contributor.author
Uribeetxebarria Alonso de Armiño, Asier
dc.contributor.author
Escolà i Agustí, Alexandre
dc.contributor.author
Rosell Polo, Joan Ramon
dc.date.accessioned
2024-12-05T22:27:38Z
dc.date.available
2024-12-05T22:27:38Z
dc.date.issued
2017-09-20T09:46:42Z
dc.date.issued
2017-09-20T09:46:42Z
dc.date.issued
2017-07-16
dc.date.issued
2017-09-20T09:46:42Z
dc.identifier
https://doi.org/10.1017/S2040470017000978
dc.identifier
http://hdl.handle.net/10459.1/60241
dc.identifier.uri
http://hdl.handle.net/10459.1/60241
dc.description.abstract
Proceedings of the 11th European Conference on Precision Agriculture
dc.description.abstract
Different sampling schemes were tested to estimate yield (kg/tree), fruit firmness (kg) and the refractometric index (°Baumé) in a peach orchard. In contrast to simple random sampling (SRS), the use of auxiliary information (NDVI and apparent electrical conductivity, ECa) allowed sampling points to be stratified according to two or three classes (strata) within the plot. Sampling schemes were compared in terms of accuracy and efficiency. Stratification of samples improved efficiency compared to SRS. However, yield and quality parameters may require different sampling strategies. While yield was better estimated using stratified samples based on the ECa, fruit quality (firmness and °Baumé) showed better results when stratifying by NDVI.
dc.format
application/pdf
dc.publisher
The Animal Consortium
dc.relation
Versió preprint del document publicat a: https://doi.org/10.1017/S2040470017000978
dc.relation
Advances in Animal Biosciences, 2017, vol. 8, num. 2, p. 471-476
dc.rights
(c) The Animal Consortium, 2017
dc.rights
info:eu-repo/semantics/openAccess
dc.title
Comparing efficiency of different sampling schemes to estimate yield and quality parameters in fruit orchards
dc.type
info:eu-repo/semantics/article
