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首页> 外文期刊>Acta Horticulturae >Plant water stress detection based on aerial and terrestrial infrared thermography: a study case from vineyard and olive orchard
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Plant water stress detection based on aerial and terrestrial infrared thermography: a study case from vineyard and olive orchard

机译:基于空中和陆地红外热成像的植物水分应力检测:葡萄园和橄榄果园的研究案例

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摘要

Irrigation scheduling is critical for vineyards and olive orchards, since it directly affects yield and fruit composition. Regulated deficit irrigation (RDI) strategies have been applied on both crops with positive results in the past. However, to successfully regulate stress levels, it is necessary to have accurate measurements of plant water status, which is usually achieved using a pressure chamber. In this regard, canopy temperature (Tc) has been shown to be an accurate indicator of plant water stress. Therefore, the objective of this study was to evaluate the accuracy of water stress detection based on aerial and terrestrial infrared thermography for a vineyard and an olive orchard. Lateral infrared thermal images were obtained using a handheldinfrared camera and nadir-view infrared thermal images were obtained using an unmanned aerial vehicle (UAV). In addition, measurements of midday stem water potential (Vstem) from olives trees [Olea europaea L. Arbequina') and grapevines [Vitis viniferaL. 'Carmenere') were taken under different RDI strategies during the 2013-2014 growing season. The image analysis was performed using a customized code written in Mathlab~R defining thresholds to exclude non-plant elements. Results showed that the use ofinfrared thermal images aided in recognizing the differences in the water availability for irrigation treatments when the plants were under stress conditions.
机译:灌溉调度对于葡萄园和橄榄果园至关重要,因为它直接影响产量和果实组成。受管制的赤字灌溉(RDI)策略已在两种作物上应用于过去的积极成果。然而,为了成功调节应力水平,必须具有准确测量植物水状态,通常使用压力室实现。在这方面,冠层温度(Tc)已被证明是植物水胁迫的准确指标。因此,本研究的目的是评估基于空中和陆地红外热成像的水分应激检测的准确性,为葡萄园和橄榄果园。使用手履诺里德相机获得横向红外线热图像,并且使用无人驾驶飞行器(UAV)获得Nadir-View红外热图像。此外,从橄榄树[Olea Europaea L. Arbequina')和葡萄园[血管血管血管血管葡萄树的午间干水潜力(波动)测量。在2013 - 2014年增长季节,在不同的RDI战略下采取了“Carmenere”。使用在Mathlab〜R中写入的自定义代码来执行图像分析,定义阈值以排除非工厂元素。结果表明,当植物在胁迫条件下识别出识别灌溉处理的水可用性的差异时,使用过的热图像。

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