加速采用与物种无关的植物传感器用于精准农业

Abdullah Bukhamsin, Jürgen Kosel, Ikram Blilou, Khaled Nabil Salama
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摘要

精准农业是一种优化的管理农业方案,旨在将作物的实时需求与要管理的养分联系起来。能够监测作物原位生理状态的传感平台是实现及时和本地化干预的关键。然而,植物传感策略的不发达限制了精准农业的潜力。在这篇综述中,我们讨论了植物监测的挑战和进展,重点是适用于广泛的植物物种和适合野外部署的策略。我们探索了与物种无关的传感器,包括光学和电化学传感器,其工作原理广泛适用于所有植物物种。这些平台通过评估关键生物标志物(如植物激素)和代谢物(如水杨酸和活性氧),实现对作物生理状态的实时监测。通过对这些系统进行评估,我们得出结论,综合传感方法是必要的,可以弥补单个方法的局限性,并提供作物健康的整体视图。因此,需要具有成本效益的与物种无关的传感器来提供信息,以最大限度地减少农业的资源足迹,满足日益增长的全球需求。植物传感器可以监测各种作物的生理健康状况,这对精准农业的实施至关重要。在这里,我们评估了不同传感器的有效性,并提出了一种综合传感方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Accelerating adoption of species-agnostic plant sensors for precision farming

Accelerating adoption of species-agnostic plant sensors for precision farming
Precision farming is an optimized management farming scheme that seeks to link the real-time needs of crops with the nutrients to be administered. Sensing platforms that can monitor the physiological status of crops in situ are key to enabling timely and localized interventions. However, the underdevelopment of plant sensing strategies limits the potential of precision farming. In this Review, we discuss the challenges and advancements in phyto-monitoring, focusing on strategies that are applicable to a wide range of plant species and suitable for field deployment. We explore species-agnostic sensors, including optical and electrochemical sensors, whose operation is based on principles that are widely applicable to all plant species. These platforms enable real-time monitoring of the physiological state of crops by assessing key biomarkers, such as plant hormones, and metabolites such as salicylic acid and reactive oxygen species. Evaluating these systems, we conclude that an integrative sensing approach is necessary to compensate for the limitations of the individual methods and can provide a holistic view of crop health. Cost-effective species-agnostic sensors are thus needed to provide information that can be used to minimize the resource footprint of farming and meet the growing global demand. Species-agnostic plant sensors can monitor the physiological health of a broad range of crops, which is vital for the implementation of precision farming. Here, we evaluate the different sensors in terms of their effectiveness and propose an integrated sensing approach.
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