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首页> 外文期刊>Sustainability >Hyperspectral Reflectance as a Basis to Discriminate Olive Varieties—A Tool for Sustainable Crop Management
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Hyperspectral Reflectance as a Basis to Discriminate Olive Varieties—A Tool for Sustainable Crop Management

机译：高光谱反射作为鉴别橄榄色品种的基础 - 一种可持续作物管理的工具

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摘要

Worldwide sustainable development is threatened by current agricultural land change trends, particularly by the increasing rural farmland abandonment and agricultural intensification phenomena. In Mediterranean countries, these processes are affecting especially traditional olive groves with enormous socio-economic costs to rural areas, endangering environmental sustainability and biodiversity. Traditional olive groves abandonment and intensification are clearly related to the reduction of olive oil production income, leading to reduced economic viability. Most promising strategies to boost traditional groves competitiveness—such as olive oil differentiation through adoption of protected denomination of origin labels and development of value-added olive products—rely on knowledge of the olive varieties and its specific properties that confer their uniqueness and authenticity. Given the lack of information about olive varieties on traditional groves, a feasible and inexpensive method of variety identification is required. We analyzed leaf spectral information of ten Portuguese olive varieties with a powerful data-mining approach in order to verify the ability of satellite’s hyperspectral sensors to provide an accurate olive variety identification. Our results show that these olive varieties are distinguishable by leaf reflectance information and suggest that even satellite open-source data could be used to map them. Additional advantages of olive varieties mapping were further discussed.
机译：全球可持续发展受到目前农业土地变革趋势的威胁，特别是由于农村农田遗弃和农业强化现象的增加。在地中海国家，这些流程尤其是尤其是传统的橄榄树林，具有巨大的社会经济成本对农村地区，危及环境可持续性和生物多样性。传统的橄榄树林遗弃和强化明显与橄榄油生产收入的减少有关，导致经济可行性降低。最有希望的策略提高传统的Groves竞争力 - 例如通过采用原产地标签的受保护面额和增值橄榄产物的开发 - 依赖于橄榄品种的知识及其唯一性和真实性的特定性质的橄榄油分化。鉴于对传统树林上的橄榄品种缺乏信息，需要一种可行和廉价的品种鉴定方法。我们用强大的数据挖掘方法分析了十葡萄牙橄榄品种的叶谱信息，以验证卫星高光谱传感器提供精确的橄榄品种识别的能力。我们的研究结果表明，这些橄榄品种可通过叶反射信息区分，并表明即使是卫星开源数据也可用于映射它们。进一步讨论了橄榄品种映射的额外优点。

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