摘要：茶樹是一種珍貴的常綠作物，在中國(guó)和許多其他國(guó)家廣泛種植。近年來(lái)，人們對(duì)茶樹的研究興趣日益濃厚。對(duì)于茶產(chǎn)業(yè)來(lái)說，開發(fā)快速、無(wú)損的方法來(lái)評(píng)估茶樹在自然環(huán)境下的生長(zhǎng)是至關(guān)重要的。
該文全面概述了無(wú)損傳感技術(shù)在茶葉原位檢測(cè)中的應(yīng)用。所涵蓋的主題包括葉片、冠層以及田間尺度的評(píng)估，以及統(tǒng)計(jì)分析方法和特征監(jiān)測(cè)等。
無(wú)損檢測(cè)技術(shù)主要應(yīng)用于茶葉病蟲害監(jiān)測(cè)和預(yù)報(bào)，茶葉品質(zhì)和養(yǎng)分監(jiān)測(cè)，茶葉嫩度和等級(jí)識(shí)別，茶樹品種鑒定，茶芽自動(dòng)檢測(cè)和識(shí)別，茶樹長(zhǎng)勢(shì)監(jiān)測(cè)，以及基于遙感技術(shù)的茶園面積提取。這些有助于評(píng)價(jià)茶樹的種植適宜性，評(píng)估茶園災(zāi)害發(fā)生情況以及預(yù)測(cè)茶葉產(chǎn)量。
此外，該文還探討了解決茶葉原位檢測(cè)問題的新興技術(shù)應(yīng)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(zhǎng)環(huán)境、品質(zhì)特征和長(zhǎng)勢(shì)過程，從而提高茶葉的加工質(zhì)量，促進(jìn)茶產(chǎn)業(yè)的發(fā)展。
關(guān)鍵詞：無(wú)損；原位檢測(cè)；茶樹；生長(zhǎng)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(lái)源：農(nóng)業(yè)與生物工程ABE 曹瓊等 ，信息貴在分享，如涉及版權(quán)問題請(qǐng)聯(lián)系刪除
