Digital farming is a novel agricultural philosophy that aims to maximize a crop yield with the minimal environmental impact. Digital farming requires the development of technologies that can work directly in the field providing information about a plant health. Raman spectroscopy (RS) is an emerging analytical technique that can be used for non-invasive, non-destructive, and confirmatory diagnostics of diseases, as well as the nutrient deficiencies in plants. RS is also capable of probing nutritional content of grains, as well as highly accurate identification plant species and their varieties. This allows for Raman-based phenotyping and digital selection of plants. These pieces of evidence suggest that RS can be used for chemical-free surveillance of plant health directly in the field. High selectivity and specificity of this technique show that RS may transform the agriculture in the US. This review critically discusses the most recent research articles that demonstrate the use of RS in diagnostics of abiotic and abiotic stresses in plants, as well as the identification of plant species and their nutritional analysis.

数字农业是一种新颖的农业理念，旨在以最小的环境影响最大限度地提高农作物产量。数字农业需要开发可以直接在田间工作的技术，提供有关植物健康的信息。拉曼光谱 (RS) 是一种新兴的分析技术，可用于疾病以及植物营养缺乏的非侵入性、非破坏性和确证性诊断。 RS 还能够探测谷物的营养成分，以及高精度识别植物物种及其品种。这允许基于拉曼的表型分析和植物的数字选择。这些证据表明 RS 可用于直接在田间无化学物质监测植物健康。该技术的高选择性和特异性表明 RS 可能会改变美国的农业。这篇综述批判性地讨论了最新的研究文章，这些文章证明了 RS 在植物非生物和非生物胁迫诊断中的应用，以及植物物种的鉴定及其营养分析。