基于纳米物联网的智能植物病原体诊断生物传感器

S. Sonu, Vishal Chaudhary
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引用次数: 36

摘要

植物病原体严重影响作物生产力,是实现与农业、粮食生产和解决饥饿问题有关的可持续发展目标的重大挑战之一。常规的季节性通用化学喷洒技术严重损害环境和人类健康。相反,基于纳米材料的生物传感器已成为植物病原体和疾病诊断的经济、高效、选择性、快速和精确的策略。纳米生物传感器与人工智能、物联网、云计算、无人机和5G通信的集成最近提出了受纳米物联网启发的智能植物诊断生物传感器的范式。这一前景突出了这些现代植物病原体生物传感器,用于塑造智能和第五代农业实践。
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A Paradigm of Internet-of-Nano-Things Inspired Intelligent Plant Pathogen-Diagnostic Biosensors
Plant pathogens massively affect crop productivity and are one of the significant challenges in attaining sustainable development goals related to agriculture, food production, and addressing hunger issues. Conventional techniques of generic seasonal chemical spraying severely damage the environment and human health. On the contrary, nanomaterials-based biosensors have emerged as economical, efficient, selective, prompt, and precise strategies for plant pathogen and disease diagnosis. The integration of nano-biosensors with artificial intelligence, internet-of-things, cloud computing, drones, and 5G communication has recently raised the paradigm of internet-of-nano-things-inspired intelligent plant-diagnostic biosensors. This prospect highlights these modern-age plant-pathogen biosensors for shaping smart and 5th generation agricultural practices.
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