赵春江院士等综述了原位传感技术在茶叶从叶片到田间生长特性监测中的应用

赵春江院士等综述了原位传感技术在茶叶从叶片到田间生长特性监测中的应用

3阅读 2024-09-19 06:46 权威

摘要:茶树是一种珍贵的常绿作物,在中国和许多其他国家广泛种植。近年来,人们对茶树的研究兴趣日益浓厚。对于茶产业来说,开发快速、无损的方法来评估茶树在自然环境下的生长是至关重要的。

该文全面概述了无损传感技术在茶叶原位检测中的应用。所涵盖的主题包括叶片、冠层以及田间尺度的评估,以及统计分析方法和特征监测等。

无损检测技术主要应用于茶叶病虫害监测和预报,茶叶品质和养分监测,茶叶嫩度和等级识别,茶树品种鉴定,茶芽自动检测和识别,茶树长势监测,以及基于遥感技术的茶园面积提取。这些有助于评价茶树的种植适宜性,评估茶园灾害发生情况以及预测茶叶产量。

此外,该文还探讨了解决茶叶原位检测问题的新兴技术应用前景和面临的挑战。它可以帮助研究者和生产者全面了解茶叶生长环境、品质特征和长势过程,从而提高茶叶的加工质量,促进茶产业的发展。

关键词:无损;原位检测;茶树;生长特性;传感器

DOI:10.25165/j.ijabe.20241701.8395

引用信息: Cao Q, Zhao C J, Xu Z, Jiang P, Yang H B, Meng X Y, et al. Review of the application of in-situ sensing techniques to address the tea growth characteristics from leaf to field. Int J Agric & Biol Eng, 2024; 17(1): 1-11.

Review of the application of in-situ sensing techniques to address the tea growth characteristics from leaf to field

Qiong Cao1,2 , Chunjiang Zhao1,2 , Ze Xu3 , Ping Jiang2 , Haibin Yang3 , Xiangyu Meng1 , Guijun Yang1*

(1. Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;

2. College of Machnical and Electrical Engineering, Hunan Agricultural University, Changsha 410125, China;

3. Tea Research Institute of Chongqing Academy of Agricultural Sciences, Chongqing 400000, China)

Abstract:The tea plant is a valuable and evergreen crop that is extensively cultivated in China and many other countries. Currently, there is growing research interest in this plant. For the tea industry, it is crucial to develop rapid and non-invasive methods to evaluate tea plants in their natural environment. This article provides a comprehensive overview of non-invasive sensing techniques used for in-situ detection of tea plants. The topics covered include leaf, canopy, and field-level assessments, as well as statistical analysis techniques and characteristics specific to the research. Non-invasive testing technology is primarily used for monitoring and predicting tea pests and diseases, monitoring quality, and nutrients, determining tenderness and grade, identifying tea plant varieties, automatically detecting, and identifying tea buds, monitoring tea plant growth, and extracting tea garden areas through remote sensing. It also helps to evaluate planting suitability, assess disasters, and estimate yields. Additionally, the article examines the challenges and prospects of emerging techniques aimed at resolving the in-situ detection problem for tea plants. It can assist researchers and producers in comprehensively understanding the tea environment, quality characteristics, and growth process, thereby enhancing tea production quality, and fostering tea industry development.

Keywords: non-destructive, in-situ detection, tea plants, growth characteristics, sensors

DOI: 10.25165/j.ijabe.20241701.8395

Citation: Cao Q, Zhao C J, Xu Z, Jiang P, Yang H B, Meng X Y, et al. Review of the application of in-situ sensing techniques to address the tea growth characteristics from leaf to field. Int J Agric & Biol Eng, 2024; 17(1): 1-11.

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