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Appropriate vegetation indices and data analysis methods for orchards monitoring using UAV-based remote sensing: A comprehensive research

遥感 植被(病理学) 植被指数 环境科学 数据挖掘 计算机科学 归一化差异植被指数 地理 生态学 叶面积指数 医学 生物 病理
作者
Nikrooz Bagheri,Jalal Kafashan
出处
期刊:Computers and Electronics in Agriculture [Elsevier BV]
卷期号:235: 110356-110356 被引量:15
标识
DOI:10.1016/j.compag.2025.110356
摘要

• UAV-based remote sensing in orchards monitoring is demanding. • In this field, more than seventy types of vegetation indicators have been used so far. • In Asia and Europe, more than 75 % of those have been performed. • The used vegetation indices and analysis methods were descriptively analyzed. • Appropriate vegetation indices and analysis methods were separately nominated. Orchards monitoring is indispensable to various assessments and evaluations that are usually associated with unmanned aerial vehicle (UAV)-based remote sensing , high-tech sensors, indices and data analysis methods. Apart from physical platforms to know, use and develop such systems, essential knowledge includes data analysis methods and indices. Over the last decade, much research has been performed in orchards monitoring by UAV-based remote sensing, while no comprehensive research has been done for different data analysis methods and the numerous vegetation indices. In this research, various topics have extensively been studied including subjected countries and orchard trees, used platforms and cameras. Nonetheless, the main focuses of the comprehensive research have been on the extracted features, appropriate vegetation indices, and data analysis methods for orchard trees monitoring using UAV-based remote sensing. In detail, the key items were also characterized and analyzed. Lastly, some notable data, applicable extracted quantitative and qualitative outcomes, current challenges and horizon of future possibilities on the topic were revealed.
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