Improving efficiency of ground-truth data collection for UAV-based rice growth estimation models: investigating the effect of sampling size on model accuracy

IF 1.6 3区 农林科学 Q2 AGRONOMY Plant Production Science Pub Date : 2024-01-04 DOI:10.1080/1343943x.2023.2299641
Tomoaki Yamaguchi, Kana Sasano, Keisuke Katsura
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提高基于无人机的水稻生长估算模型的地面实况数据收集效率:研究取样规模对模型准确性的影响
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来源期刊
Plant Production Science
Plant Production Science 农林科学-农艺学
CiteScore
5.10
自引率
4.00%
发文量
27
审稿时长
>36 weeks
期刊介绍: Plant Production Science publishes original research reports on field crops and resource plants, their production and related subjects, covering a wide range of sciences; physiology, biotechnology, morphology, ecology, cropping system, production technology and post harvest management. Studies on plant production with special attention to resource management and the environment are also welcome. Field surveys on cropping or farming system are also accepted. Articles with a background in other research areas such as soil science, meteorology, biometry, product process and plant protection will be accepted as long as they are significantly related to plant production.
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