From lab to field: Nano-biosensors for real-time plant nutrient tracking

Anjali Bharti, Utkarsh Jain, Nidhi Chauhan
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Abstract

The growing world’s population and increasing demand for food production can lead to major food security and safety challenges. The different varieties of pathogens such as bacteria, fungi, viruses, pests, insects, etc. are the major causes of crop loss. So, the implementation of biosensors in the field of agriculture can be a beneficial tool to solve this problem. Biosensors can help to promote sustainable food production by the early detection of pathogens, fertilizers, herbicides, pesticides, moisture, and diseases in crops and animals, as well as the presence of heavy metal ions, and toxins. Additionally, it can also help to measure the different parameters including soil pH, chlorophyll content, photosynthetic content, protein content, and total nutrient uptake (macronutrients and micronutrients) by the plants, etc. With the implementation of these biosensors, farmers can increase crop yields, optimize fertilization techniques, and preserve resources by detecting and measuring particular nutrients. The implementation of Artificial Intelligence (AI) and Internet of Things (IoT) technology greatly transforms the state of traditional agriculture by addressing various challenges, such as pest management and post-harvest management issues. In this review, different types of biosensors are utilized in the agricultural field for monitoring various parameters related to plants but some obstacles need to be addressed. This article mainly focuses on the various types of biosensors including electrochemical biosensors, optical biosensors, plant wearable biosensors, etc., and their applications and advantages along with the adoption of AI and IoT technology in smart- farming are also discussed.

从实验室到田间:用于植物养分实时跟踪的纳米生物传感器
世界人口不断增长,对粮食生产的需求日益增加,这可能导致粮食安全和食品安全面临重大挑战。不同种类的病原体,如细菌、真菌、病毒、害虫、昆虫等,是造成作物损失的主要原因。因此,在农业领域应用生物传感器是解决这一问题的有利工具。生物传感器可以及早检测作物和动物体内的病原体、化肥、除草剂、杀虫剂、水分和疾病,以及重金属离子和毒素的存在,从而有助于促进可持续粮食生产。此外,它还有助于测量不同的参数,包括土壤 pH 值、叶绿素含量、光合作用含量、蛋白质含量、植物对总养分的吸收(宏量营养素和微量营养素)等。利用这些生物传感器,农民可以提高作物产量,优化施肥技术,并通过检测和测量特定养分来保护资源。人工智能(AI)和物联网(IoT)技术的应用极大地改变了传统农业的状况,解决了病虫害管理和收获后管理问题等各种挑战。在本综述中,农业领域利用不同类型的生物传感器来监测与植物有关的各种参数,但仍有一些障碍需要解决。本文主要关注各种类型的生物传感器,包括电化学生物传感器、光学生物传感器、植物可穿戴生物传感器等,并讨论了它们的应用和优势,以及人工智能和物联网技术在智能农业中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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