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Comparing efficiency of different sampling schemes to estimate yield and quality parameters in fruit orchards

Published online by Cambridge University Press:  01 June 2017

J. Arnó ,
J.A. Martínez-Casasnovas ,
A. Uribeetxebarria ,
A. Escolà  and
J.R. Rosell-Polo
J. Arnó*
Affiliation:
Research Group on AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida - Agrotecnio Center, Lleida, Catalonia, Spain
J.A. Martínez-Casasnovas
Affiliation:
Research Group on AgroICT & Precision Agriculture, Department of Environmental and Soil Sciences, University of Lleida - Agrotecnio Center, Lleida, Catalonia, Spain
A. Uribeetxebarria
Affiliation:
Research Group on AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida - Agrotecnio Center, Lleida, Catalonia, Spain
A. Escolà
Affiliation:
Research Group on AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida - Agrotecnio Center, Lleida, Catalonia, Spain
J.R. Rosell-Polo
Affiliation:
Research Group on AgroICT & Precision Agriculture, Department of Agricultural and Forest Engineering, University of Lleida - Agrotecnio Center, Lleida, Catalonia, Spain
*
†E-mail: [email protected]
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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.

Keywords

samplingfruit growingefficiencyNDVIECa
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 471 - 476
Copyright
© The Animal Consortium 2017 

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