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Ultrasonic Sensing of Plant Water Needs for Agriculture

机译:农业对植物需水的超声传感

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摘要

Fresh water is a key natural resource for food production, sanitation and industrial uses and has a high environmental value. The largest water use worldwide (~70%) corresponds to irrigation in agriculture, where use of water is becoming essential to maintain productivity. Efficient irrigation control largely depends on having access to reliable information about the actual plant water needs. Therefore, fast, portable and non-invasive sensing techniques able to measure water requirements directly on the plant are essential to face the huge challenge posed by the extensive water use in agriculture, the increasing water shortage and the impact of climate change. Non-contact resonant ultrasonic spectroscopy (NC-RUS) in the frequency range 0.1–1.2 MHz has revealed as an efficient and powerful non-destructive, non-invasive and in vivo sensing technique for leaves of different plant species. In particular, NC-RUS allows determining surface mass, thickness and elastic modulus of the leaves. Hence, valuable information can be obtained about water content and turgor pressure. This work analyzes and reviews the main requirements for sensors, electronics, signal processing and data analysis in order to develop a fast, portable, robust and non-invasive NC-RUS system to monitor variations in leaves water content or turgor pressure. A sensing prototype is proposed, described and, as application example, used to study two different species: Vitis vinifera and Coffea arabica, whose leaves present thickness resonances in two different frequency bands (400–900 kHz and 200–400 kHz, respectively), These species are representative of two different climates and are related to two high-added value agricultural products where efficient irrigation management can be critical. Moreover, the technique can also be applied to other species and similar results can be obtained.
机译:淡水是食品生产,卫生和工业用途的重要自然资源,具有很高的环境价值。全世界最大的用水量(约70%)对应于农业灌溉,而用水对维持生产力至关重要。有效的灌溉控制很大程度上取决于能否获得有关实际植物需水量的可靠信息。因此,快速,便携式和非侵入性的传感技术能够直接测量植物的需水量,对于应对农业大量使用水,水资源短缺和气候变化的影响所构成的巨大挑战至关重要。非接触共振超声光谱法(NC-RUS)在0.1–1.2 MHz的频率范围内显示出对不同植物叶片的高效,强大的非破坏性,非侵入性和体内传感技术。特别是,NC-RUS可以确定叶片的表面质量,厚度和弹性模量。因此,可以获得关于水含量和膨胀压力的有价值的信息。这项工作分析并审查了传感器,电子设备,信号处理和数据分析的主要要求,以便开发一种快速,便携式,耐用且无创的NC-RUS系统,以监控叶片水分或膨胀压力的变化。提出并描述了一个传感原型,并作为一个应用实例,用于研究两个不同的物种:葡萄(Vitis vinifera)和阿拉伯咖啡(Coffea arabica),它们的叶片在两个不同的频段(分别为400–900 kHz和200–400 kHz)呈现出厚度共振,这些物种代表两种不同的气候,并且与两种高附加值的农产品有关,在这些农产品中,有效的灌溉管理至关重要。而且,该技术还可以应用于其他物种,并且可以获得类似的结果。

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