摘要：茶樹是一種珍貴的常綠作物，在中國和許多其他國家廣泛種植。近年來，人們對茶樹的研究興趣日益濃厚。對于茶產(chǎn)業(yè)來說，開發(fā)快速、無損的方法來評估茶樹在自然環(huán)境下的生長是至關重要的。
該文全面概述了無損傳感技術在茶葉原位檢測中的應用。所涵蓋的主題包括葉片、冠層以及田間尺度的評估，以及統(tǒng)計分析方法和特征監(jiān)測等。
無損檢測技術主要應用于茶葉病蟲害監(jiān)測和預報，茶葉品質和養(yǎng)分監(jiān)測，茶葉嫩度和等級識別，茶樹品種鑒定，茶芽自動檢測和識別，茶樹長勢監(jiān)測，以及基于遙感技術的茶園面積提取。這些有助于評價茶樹的種植適宜性，評估茶園災害發(fā)生情況以及預測茶葉產(chǎn)量。
此外，該文還探討了解決茶葉原位檢測問題的新興技術應用前景和面臨的挑戰(zhàn)。它可以幫助研究者和生產(chǎn)者全面了解茶葉生長環(huán)境、品質特征和長勢過程，從而提高茶葉的加工質量，促進茶產(chǎn)業(yè)的發(fā)展。
關鍵詞：無損；原位檢測；茶樹；生長特性；傳感器
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.
來源：農業(yè)與生物工程ABE 曹瓊等 ，信息貴在分享，如涉及版權問題請聯(lián)系刪除
