In the fields of plant physiology and modern agricultural management, the rapid and non-destructive quantitative assessment of plant growth status has always been a core requirement. Chlorophyll, as a key pigment in photosynthesis, directly reflects the plant's nitrogen nutrition status, photosynthetic capacity, and overall physiological activity. Therefore, accurate determination of leaf chlorophyll content has irreplaceable scientific value and practical significance for guiding precise fertilization, predicting crop yield, assessing environmental stress, and selecting plant varieties. The emergence and development of chlorophyll meters are precisely to meet this high-efficiency, on-site detection need, transforming traditional laboratory chemical analysis into convenient real-time field measurements. Traditional methods for determining chlorophyll content mainly rely on spectrophotometry, which involves extracting chlorophyll from leaves using organic solvents (such as acetone and ethanol), and then measuring the absorbance at specific wavelengths using a spectrophotometer to calculate the concentration. Although this method yields accurate results, the process is cumbersome, destructive, and time-consuming, and cannot be used for large-scale, rapid on-site screening. To overcome these shortcomings, portable chlorophyll meters based on optical principles have emerged. The main technical principle is to utilize the optical properties of chlorophyll in specific spectral bands: chlorophyll strongly absorbs light in the red light band (approximately 650 nm), while absorbing very little in the near-infrared band (approximately 940 nm). The instrument irradiates the leaf with light beams of these two wavelengths and detects the intensity of the transmitted or reflected light, calculating the ratio of the optical densities of the two. This ratio has a stable correlation with the leaf chlorophyll content, thus enabling non-destructive and rapid relative content measurement. After decades of technological iteration, modern chlorophyll meters have become increasingly precise and intelligent. Early instruments had limited functions, only displaying a simple relative reading (such as the SPAD value). Today, high-end models integrate more functions, such as measuring chlorophyll fluorescence parameters, leaf temperature, and even ambient light intensity, thereby comprehensively assessing plant photosynthetic efficiency. In terms of data management, instruments are generally equipped with large-capacity memory and Bluetooth or USB interfaces, enabling real-time storage, batch export, and computer analysis of measurement data. Some models also feature GPS modules, allowing integration with Geographic Information Systems (GIS) to create spatial distribution maps of crop nutritional status in the field, providing direct basis for variable-rate fertilization. These advancements have led to broader dimensions of data collection, higher efficiency, and more in-depth analysis. In practical agricultural production and research, chlorophyll meters are widely used. In crop cultivation management, they are an important tool for guiding nitrogen fertilizer application. By monitoring the chlorophyll content of leaves during key growth stages, the nitrogen requirements of crops can be accurately determined, avoiding over- or under-fertilization, thus saving costs and reducing environmental pollution. In plant breeding, researchers can use them to quickly screen germplasm resources or varieties with high chlorophyll content and excellent photosynthetic performance, significantly accelerating the breeding process. In ecological and environmental research, the instrument is often used to monitor the physiological responses of vegetation such as trees and grasslands under adverse stresses such as pollution, drought, and salinity, and to assess the health of ecosystems. Furthermore, it is also used in landscaping and golf course maintenance to assess the growth quality of turfgrass. Looking ahead, the development of chlorophyll meters will be deeply integrated with the Internet of Things, artificial intelligence, and multispectral imaging technology. The next generation of devices may not only be handheld point-measurement tools, but may also be integrated into drones, ground robots, or fixed monitoring stations, enabling continuous spatio-temporal monitoring from "points" to "areas." Through integration with cloud platforms and big data analysis, the massive amount of data acquired by the instruments will drive more intelligent agricultural decision-making systems, realizing truly smart agriculture and precision farming. At the same time, the miniaturization and cost reduction of sensors will make this technology more widely accessible to ordinary farmers and agricultural cooperatives. It is foreseeable that chlorophyll measurement technology will continue to serve as a crucial bridge connecting plant physiological information with modern agricultural management, contributing significantly to the sustainable development of agriculture.

