比较不同抽样方案估算果园产量和品质参数的效率

J. Arnó, J. A. Martínez-Casasnovas, A. Uribeetxebarria, A. Escolà, J. R. Rosell-Polo
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引用次数: 8

摘要

试验了不同取样方案对桃园产量(kg/树)、果实硬度(kg)和折光指数(obaum)的估算。与简单随机抽样(SRS)相比,使用辅助信息(NDVI和视电导率,ECa)可以根据地块内的两个或三个类别(地层)对采样点进行分层。从精度和效率两个方面对抽样方案进行了比较。与SRS相比,样品分层提高了效率。然而,产率和质量参数可能需要不同的采样策略。虽然使用基于ECa的分层样品可以更好地估计产量,但使用NDVI分层时,果实质量(硬度和硬度)显示出更好的结果。
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Comparing efficiency of different sampling schemes to estimate yield and quality parameters in fruit orchards
Different sampling schemes were tested to estimate yield (kg/tree), fruit firmness (kg) and the refractometric index (oBaumé) 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 oBaumé) showed better results when stratifying by NDVI.
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Proceedings of the British Society of Animal Science Proceedings of the XIIIth International Symposium on Ruminant Physiology (ISRP 2019) Proceedings of the British Society of Animal Science Proceedings of the Seventeenth Biennial Conference of the Australasian Pig Science Association (APSA) Proceedings of the 9th Workshop on Modelling Nutrient Digestion and Utilization in Farm Animals (MODNUT)
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