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Due to the practical applications of EEG emotion calculation, researchers often use edge calculation to reduce data transmission times, however, as EEG involves a large amount of data, determining how to effectively extract features and reduce the amount of calculation is still the focus of abundant research. Researchers have proposed many EEG feature extraction methods. However, these methods have problems such as high time complexity and insufficient precision. The main purpose of this paper is to introduce an innovative method for obtaining reliable distinguishing features from EEG signals. This feature extraction method combines differential entropy with Linear Discriminant Analysis (LDA) that can be applied in feature extraction of emotional EEG signals. We use a three-category sentiment EEG dataset to conduct experiments. The experimental results show that the proposed feature extraction method can significantly improve the performance of the EEG classification: Compared with the result of the original dataset, the average accuracy increases by 68%, which is 7% higher than the result obtained when only using differential entropy in feature extraction. 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Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, Canada.",{"doi":887},"10.1109\u002FSMC.2017.8122608",{"id":889,"createTime":890,"updateTime":891,"relativeEntities":892,"slug":893,"properties":894,"entityType":172,"verifyStatus":173,"verifyTime":890,"verifyNote":175,"languages":910,"translateLanguages":911,"viewCount":18,"primaryUrl":912,"fullTextUrl":17,"authors":913,"publicationType":307,"publisherRelationship":981,"citationCount":1054,"citationInfo":1055,"publishDate":17,"publishYear":17,"citationAnalyzeStatus":16,"lastCitationAnalyze":17,"indexDatabases":1060,"openAccess":17,"references":1061,"isForceReanalyzing":467},"5af3d3f6-bac8-48c2-9c83-2daa0fc49b89","2024-10-09T12:09:07.664+00:00","2026-09-04T10:15:15.585+00:00",[],"Nanostructured-Polypyrrole-Based-Ammonia-and-Volatile-Organic-Compound-Sensors",{"mag":895,"pmc":897,"openalex":899,"abstract":901,"title":903,"pm":906,"doi":908},{"VOID":896},"2592018156",{"VOID":898},"5375848",{"VOID":900},"W2592018156",{"EN":902},"\u003Cjats:p>The aim of this review is to summarize the recent progress in the fabrication of efficient nanostructured polymer-based sensors with special focus on polypyrrole. The correlation between physico-chemical parameters, mainly morphology of various polypyrrole nanostructures, and their sensitivity towards selected gas and volatile organic compounds (VOC) is provided. The different approaches of polypyrrole modification with other functional materials are also discussed. With respect to possible sensors application in medicine, namely in the diagnosis of diseases via the detection of volatile biomarkers from human breath, the sensor interaction with humidity is described as well. 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Actuators B Chem., 181, 326, 10.1016\u002Fj.snb.2013.02.017",{"doi":1633},"10.1016\u002Fj.snb.2013.02.017",{"id":17,"text":1635,"url":17,"identifiers":1636},"Yang, 2010, Polypyrrole Porous Micro Humidity Sensor Integrated with a Ring Oscillator Circuit on Chip, Sensors, 10, 10095, 10.3390\u002Fs101110095",{"doi":1637},"10.3390\u002Fs101110095",{"id":1639,"createTime":1640,"updateTime":1641,"relativeEntities":1642,"slug":1643,"properties":1644,"entityType":172,"verifyStatus":173,"verifyTime":1640,"verifyNote":175,"languages":1660,"translateLanguages":1661,"viewCount":18,"primaryUrl":1662,"fullTextUrl":17,"authors":1663,"publicationType":307,"publisherRelationship":1755,"citationCount":1826,"citationInfo":1827,"publishDate":17,"publishYear":17,"citationAnalyzeStatus":16,"lastCitationAnalyze":17,"indexDatabases":1834,"openAccess":17,"references":1835,"isForceReanalyzing":467},"bc927986-be1f-41e6-8d72-eeefcb828e37","2024-09-22T01:06:58.454+00:00","2026-09-04T08:14:25.691+00:00",[],"Review-of-Portable-and-Low-Cost-Sensors-for-the-Ambient-Air-Monitoring-of-Benzene-and-Other-Volatile-Organic-Compounds",{"mag":1645,"pmc":1647,"openalex":1649,"abstract":1651,"title":1653,"pm":1656,"doi":1658},{"VOID":1646},"2724959920",{"VOID":1648},"5539520",{"VOID":1650},"W2724959920",{"EN":1652},"\u003Cjats:p>This article presents a literature review of sensors for the monitoring of benzene in ambient air and other volatile organic compounds. Combined with information provided by stakeholders, manufacturers and literature, the review considers commercially available sensors, including PID-based sensors, semiconductor (resistive gas sensors) and portable on-line measuring devices as for example sensor arrays. The bibliographic collection includes the following topics: sensor description, field of application at fixed sites, indoor and ambient air monitoring, range of concentration levels and limit of detection in air, model descriptions of the phenomena involved in the sensor detection process, gaseous interference selectivity of sensors in complex VOC matrix, validation data in lab experiments and under field conditions.\u003C\u002Fjats:p>",{"EN":1654,"VI":1655},"Review of Portable and Low-Cost Sensors for the Ambient Air Monitoring of Benzene and Other Volatile Organic Compounds","Tổng quan về các cảm biến di động và chi phí thấp phục vụ giám sát benzen và các hợp chất hữu cơ dễ bay hơi khác trong không khí xung 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Topics in Matrix Analysis, Cambridge University Press.",{"doi":2662},"10.1017\u002FCBO9780511840371",{"id":17,"text":2664,"url":17,"identifiers":2665},"Shakir, 2013, Generalized Mean Detector for Collaborative Spectrum Sensing, IEEE Trans. Commun., 61, 1242, 10.1109\u002FTCOMM.2013.13.110594",{"doi":2666},"10.1109\u002FTCOMM.2013.13.110594",{"id":17,"text":2668,"url":17,"identifiers":2669},"Abramowitz, M., and Stegun, I.A. (1964). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables.",{},{"id":17,"text":2671,"url":17,"identifiers":2672},"Shiu, 2000, Fading correlation and its effect on the capacity of multi-element antenna systems, IEEE Trans. Commun., 48, 502, 10.1109\u002F26.837052",{"doi":2673},"10.1109\u002F26.837052",{"id":17,"text":2675,"url":17,"identifiers":2676},"Zhang, W., Wang, C.-X., Tao, X., and Patcharamaneepakorn, P. (2016). Exact Distributions of Finite Random Matrices and Their Applications to Spectrum Sensing. 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Precision agriculture (PA) is a management strategy that employs information technology to improve quality and production. Utilizing wireless sensor technologies and management tools can lead to a highly effective, green agriculture. Based on PA management, the same routine to a crop regardless of site environments can be avoided. From several perspectives, field management can improve PA, including the provision of adequate nutrients for crops and the wastage of pesticides for the effective control of weeds, pests, and diseases. This review outlines the recent applications of WSNs in agriculture research as well as classifies and compares various wireless communication protocols, the taxonomy of energy-efficient and energy harvesting techniques for WSNs that can be used in agricultural monitoring systems, and comparison between early research works on agriculture-based WSNs. The challenges and limitations of WSNs in the agricultural domain are explored, and several power reduction and agricultural management techniques for long-term monitoring are highlighted. 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Commun., 92, 127, 10.1007\u002Fs11277-016-3842-3",{"doi":3592},"10.1007\u002Fs11277-016-3842-3",{"id":3594,"createTime":3595,"updateTime":3596,"relativeEntities":3597,"slug":3598,"properties":3599,"entityType":172,"verifyStatus":173,"verifyTime":3595,"verifyNote":175,"languages":3620,"translateLanguages":3621,"viewCount":18,"primaryUrl":3622,"fullTextUrl":17,"authors":3623,"publicationType":307,"publisherRelationship":3692,"citationCount":3763,"citationInfo":3764,"publishDate":17,"publishYear":17,"citationAnalyzeStatus":3777,"lastCitationAnalyze":3778,"indexDatabases":3779,"openAccess":17,"references":3780,"isForceReanalyzing":467},"7939c061-85cd-45f8-8159-8f2235bc9a6b","2024-09-27T00:17:14.807+00:00","2026-07-23T18:53:18.175+00:00",[],"Electrochemical-Biosensors-Sensor-Principles-and-Architectures",{"mag":3600,"gsPaper":3602,"keywords":3604,"pmc":3606,"openalex":3608,"abstract":3610,"title":3613,"pm":3616,"doi":3618},{"VOID":3601},"2057104805",{"VOID":3603},"[]",{"VI":3605},"",{"VOID":3607},"3663003",{"VOID":3609},"W2057104805",{"VI":3611,"EN":3612},"\u003Cjats:p>Việc định lượng các quá trình sinh học hoặc sinh hóa là vô cùng quan trọng cho các ứng dụng y sinh, sinh học và công nghệ sinh học. Tuy nhiên, việc chuyển đổi thông tin sinh học thành tín hiệu điện tử dễ xử lý là một thách thức do sự phức tạp trong việc kết nối thiết bị điện tử trực tiếp với môi trường sinh học. Các cảm biến điện hóa sinh học cung cấp một phương tiện hấp dẫn để phân tích nội dung của mẫu sinh học nhờ vào việc chuyển đổi trực tiếp một sự kiện sinh học thành tín hiệu điện tử. Trong vài thập kỷ qua, nhiều khái niệm cảm biến và các thiết bị liên quan đã được phát triển. Trong bài đánh giá này, các kỹ thuật truyền thống phổ biến nhất, chẳng hạn như voltammetry tuần hoàn, chronoamperometry, chronopotentiometry, quang phổ trở kháng, và các phương pháp dựa trên transistor hiệu ứng trường khác được trình bày bên cạnh những cách tiếp cận mới hứa hẹn, chẳng hạn như cảm biến dựa trên nanowires hoặc hạt nano từ. Các kỹ thuật đo lường bổ sung, đã được chứng minh là hữu ích khi kết hợp với phát hiện điện hóa, cũng được tóm tắt, chẳng hạn như các phiên bản điện hóa của cộng hưởng plasmon bề mặt, quang phổ ánh sáng chế độ sóng quang học, ellipsometry, cân vi tinh thể thạch anh, và kính hiển vi quét. Quá trình truyền tín hiệu và hiệu suất chung của các cảm biến điện hóa thường được xác định bởi cấu trúc bề mặt kết nối phần tử cảm biến với mẫu sinh học ở quy mô nanomet. Các kỹ thuật sửa đổi bề mặt phổ biến nhất, các cơ chế chuyển đổi điện hóa khác nhau và sự lựa chọn của các phân tử thụ thể nhận diện đều ảnh hưởng đến độ nhạy cuối cùng của cảm biến. Các phương pháp mới dựa trên công nghệ nano, chẳng hạn như việc sử dụng các kênh ion đã được thiết kế trong lớp màng lipid, sự bao bọc các enzyme vào các túi, polymersomes, hoặc các viên nang polyme điện giải, cung cấp thêm khả năng khuếch đại tín hiệu. Đặc biệt, bài đánh giá này nhấn mạnh tầm quan trọng của việc kiểm soát chính xác sự tương tác tinh tế giữa các kiến trúc nano bề mặt, chức năng hóa bề mặt và nguyên lý chuyển đổi cảm biến đã chọn, cũng như tính hữu ích của các công cụ đặc trưng bổ sung để giải thích và tối ưu hóa phản ứng của cảm biến.\u003C\u002Fjats:p>","\u003Cjats:p>Quantification of biological or biochemical processes are of utmost importance for medical, biological and biotechnological applications. However, converting the biological information to an easily processed electronic signal is challenging due to the complexity of connecting an electronic device directly to a biological environment. Electrochemical biosensors provide an attractive means to analyze the content of a biological sample due to the direct conversion of a biological event to an electronic signal. Over the past decades several sensing concepts and related devices have been developed. In this review, the most common traditional techniques, such as cyclic voltammetry, chronoamperometry, chronopotentiometry, impedance spectroscopy, and various field-effect transistor based methods are presented along with selected promising novel approaches, such as nanowire or magnetic nanoparticle-based biosensing. Additional measurement techniques, which have been shown useful in combination with electrochemical detection, are also summarized, such as the electrochemical versions of surface plasmon resonance, optical waveguide lightmode spectroscopy, ellipsometry, quartz crystal microbalance, and scanning probe microscopy. The signal transduction and the general performance of electrochemical sensors are often determined by the surface architectures that connect the sensing element to the biological sample at the nanometer scale. The most common surface modification techniques, the various electrochemical transduction mechanisms, and the choice of the recognition receptor molecules all influence the ultimate sensitivity of the sensor. New nanotechnology-based approaches, such as the use of engineered ion-channels in lipid bilayers, the encapsulation of enzymes into vesicles, polymersomes, or polyelectrolyte capsules provide additional possibilities for signal amplification. In particular, this review highlights the importance of the precise control over the delicate interplay between surface nano-architectures, surface functionalization and the chosen sensor transducer principle, as well as the usefulness of complementary characterization tools to interpret and to optimize the sensor response.\u003C\u002Fjats:p>",{"EN":3614,"VI":3615},"Electrochemical Biosensors - Sensor Principles and Architectures","Cảm biến điện hóa sinh học - Nguyên lý và kiến trúc cảm biến",{"VOID":3617},"27879772",{"VOID":3619},"10.3390\u002Fs80314000",[177],[179],"https:\u002F\u002Fwww.mdpi.com\u002F1424-8220\u002F8\u002F3\u002F1400",[3624,3641,3656,3673],{"id":3625,"sortIndex":18,"researcher":17,"roles":3626,"affiliations":3627,"properties":3636,"displayName":3638,"givenName":17,"familyName":17},"8fcad6e7-7264-41c1-b8cc-11e2f1b316e1",[],[3628],{"id":3629,"sortIndex":18,"affiliation":3630,"properties":17},"89b2edce-982f-4abc-8c4e-86f85e810dfa",{"id":3629,"createTime":17,"updateTime":17,"relativeEntities":3631,"slug":17,"properties":3632,"entityType":17,"verifyStatus":17,"verifyTime":17,"verifyNote":17,"languages":17,"translateLanguages":17,"viewCount":17,"url":17,"parentIds":3635,"statistic":17},[],{"title":3633},{"VI":3634},"Laboratory of Biosensors and Bioelectronics, Institute for Biomedical Engineering, ETH Zurich, Gloriastrasse 35, 8092 Zurich, Switzerland",[],{"title":3637,"openalex":3639},{"EN":3638},"Dorothee 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1984, Biosensors, Trends in Biotechnology, 2, 59, 10.1016\u002F0167-7799(84)90011-8",{"doi":3784},"10.1016\u002F0167-7799(84)90011-8",{"id":17,"text":3786,"url":17,"identifiers":3787},"Thevenot, 2001, Electrochemical biosensors: recommended definitions and classification, Biosensors & Bioelectronics, 16, 121",{},{"id":17,"text":3789,"url":17,"identifiers":3790},"Eggins, B. (2002). 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10.1021\u002Fla052387v",{"doi":4945},"10.1021\u002Fla052387v",{"id":4947,"createTime":4948,"updateTime":4949,"relativeEntities":4950,"slug":4951,"properties":4952,"entityType":172,"verifyStatus":173,"verifyTime":4948,"verifyNote":175,"languages":4969,"translateLanguages":17,"viewCount":18,"primaryUrl":4970,"fullTextUrl":17,"authors":4971,"publicationType":307,"publisherRelationship":5012,"citationCount":18,"citationInfo":5085,"publishDate":17,"publishYear":17,"citationAnalyzeStatus":16,"lastCitationAnalyze":5087,"indexDatabases":5088,"openAccess":17,"references":5089,"isForceReanalyzing":467},"f405e294-ffaa-47e4-8100-5723a33d359e","2024-08-30T17:28:01.641+00:00","2026-07-12T21:45:44.034+00:00",[],"Sensing-Phosphatidylserine-in-Cellular-Membranes",{"mag":4953,"gsPaper":4955,"pmc":4957,"openalex":4959,"abstract":4961,"title":4963,"pm":4965,"doi":4967},{"VOID":4954},"1966568420",{"VOID":4956},"[\"1013097040581051779\"]",{"VOID":4958},"3274058",{"VOID":4960},"W1966568420",{"EN":4962},"\u003Cjats:p>Phosphatidylserine, a phospholipid with a negatively charged head-group, is an important constituent of eukaryotic cellular membranes. On the plasma membrane, rather than being evenly distributed, phosphatidylserine is found preferentially in the inner leaflet. Disruption of this asymmetry, leading to the appearance of phosphatidylserine on the surface of the cell, is known to play a central role in both apoptosis and blood clotting. Despite its importance, comparatively little is known about phosphatidylserine in cells: its precise subcellular localization, transmembrane topology and intracellular dynamics are poorly characterized. The recent development of new, genetically-encoded probes able to detect phosphatidylserine within live cells, however, is leading to a more in-depth understanding of the biology of this phospholipid. This review aims to give an overview of the current methods for phosphatidylserine detection within cells, and some of the recent realizations derived from their use.\u003C\u002Fjats:p>",{"EN":4964},"Sensing Phosphatidylserine in Cellular Membranes",{"VOID":4966},"22319379",{"VOID":4968},"10.3390\u002Fs110201744",[177],"https:\u002F\u002Fwww.mdpi.com\u002F1424-8220\u002F11\u002F2\u002F1744",[4972,4993],{"id":4973,"sortIndex":18,"researcher":17,"roles":4974,"affiliations":4975,"properties":4984,"displayName":4988,"givenName":17,"familyName":17},"6a86ddef-c937-4e1c-8abb-647d7f1ad220",[],[4976],{"id":4977,"sortIndex":18,"affiliation":4978,"properties":17},"4642f816-1331-4165-b633-3e60dafc0fe2",{"id":4977,"createTime":17,"updateTime":17,"relativeEntities":4979,"slug":17,"properties":4980,"entityType":17,"verifyStatus":17,"verifyTime":17,"verifyNote":17,"languages":17,"translateLanguages":17,"viewCount":17,"url":17,"parentIds":4983,"statistic":17},[],{"title":4981},{"EN":4982},"Program in Cell Biology, Hospital for Sick Children, 555 University Ave., Toronto, ON M5G1X8, Canada",[],{"orcid":4985,"title":4987,"gsAuthor":4989,"openalex":4991},{"VOID":4986},"https:\u002F\u002Forcid.org\u002F0000-0001-8944-6612",{"EN":4988},"Jason G. 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Biol, 371, 717, 10.1016\u002Fj.jmb.2007.05.054",{"doi":5217},"10.1016\u002Fj.jmb.2007.05.054",{"id":17,"text":5219,"url":17,"identifiers":5220},"Yeung, 2008, Membrane phosphatidylserine regulates surface charge and protein localization, Science, 319, 210, 10.1126\u002Fscience.1152066",{"doi":5221},"10.1126\u002Fscience.1152066",{"id":17,"text":5223,"url":17,"identifiers":5224},"Shi, 2006, Lactadherin detects early phosphatidylserine exposure on immortalized leukemia cells undergoing programmed cell death, Cytometry A, 69, 1193, 10.1002\u002Fcyto.a.20345",{"doi":5225},"10.1002\u002Fcyto.a.20345",{"id":17,"text":5199,"url":17,"identifiers":5227},{"doi":5201},{"id":17,"text":5229,"url":17,"identifiers":5230},"Bakowski, 2010, The phosphoinositide phosphatase SopB manipulates membrane surface charge and trafficking of the Salmonella-containing vacuole, Cell Host Microbe, 7, 453, 10.1016\u002Fj.chom.2010.05.011",{"doi":5231},"10.1016\u002Fj.chom.2010.05.011",{"id":17,"text":5233,"url":17,"identifiers":5234},"Kikuchi, 2010, Helicobacter pylori exploits host membrane phosphatidylserine for delivery, localization, and pathophysiological action of the CagA oncoprotein, Cell Host Microbe, 7, 399, 10.1016\u002Fj.chom.2010.04.005",{"doi":5235},"10.1016\u002Fj.chom.2010.04.005",{"id":17,"text":5237,"url":17,"identifiers":5238},"Gruenberg, 1995, Membrane transport in the endocytic pathway, Curr. Opin. Cell Biol, 7, 552, 10.1016\u002F0955-0674(95)80013-1",{"doi":5239},"10.1016\u002F0955-0674(95)80013-1",{"id":17,"text":5241,"url":17,"identifiers":5242},"Shibata, 2009, Mechanisms shaping the membranes of cellular organelles, Annu. Rev. Cell Dev. Biol, 25, 329, 10.1146\u002Fannurev.cellbio.042308.113324",{"doi":5243},"10.1146\u002Fannurev.cellbio.042308.113324",{"id":17,"text":5245,"url":17,"identifiers":5246},"Gillooly, 2000, Localization of phosphatidylinositol 3-phosphate in yeast and mammalian cells, EMBO J, 19, 4577, 10.1093\u002Femboj\u002F19.17.4577",{"doi":5247},"10.1093\u002Femboj\u002F19.17.4577",{"id":17,"text":5249,"url":17,"identifiers":5250},"Lemmon, 1995, Specific and high-affinity binding of inositol phosphates to an isolated pleckstrin homology domain, Proc. Nat. Acad. Sci. USA, 92, 10472, 10.1073\u002Fpnas.92.23.10472",{"doi":5251},"10.1073\u002Fpnas.92.23.10472",{"id":17,"text":5253,"url":17,"identifiers":5254},"Wang, 1999, Differential association of the pleckstrin homology domains of phospholipases C-beta 1, C-beta 2, and C-delta 1 with lipid bilayers and the beta gamma subunits of heterotrimeric G proteins, Biochemistry, 38, 1517, 10.1021\u002Fbi982008f",{"doi":5255},"10.1021\u002Fbi982008f",{"id":17,"text":5257,"url":17,"identifiers":5258},"Blom, 2001, Mass spectrometric analysis reveals an increase in plasma membrane polyunsaturated phospholipid species upon cellular cholesterol loading, Biochemistry, 40, 14635, 10.1021\u002Fbi0156714",{"doi":5259},"10.1021\u002Fbi0156714",{"id":17,"text":5261,"url":17,"identifiers":5262},"Junqueira, 1957, Protein production by the rat pancreas, Exp. Cell Res, 12, 338, 10.1016\u002F0014-4827(57)90147-7",{"doi":5263},"10.1016\u002F0014-4827(57)90147-7",{"id":5265,"createTime":5266,"updateTime":5267,"relativeEntities":5268,"slug":5269,"properties":5270,"entityType":172,"verifyStatus":173,"verifyTime":5266,"verifyNote":175,"languages":5286,"translateLanguages":17,"viewCount":18,"primaryUrl":5287,"fullTextUrl":17,"authors":5288,"publicationType":307,"publisherRelationship":5357,"citationCount":1832,"citationInfo":5428,"publishDate":17,"publishYear":17,"citationAnalyzeStatus":3777,"lastCitationAnalyze":5267,"indexDatabases":5431,"openAccess":17,"references":5432,"isForceReanalyzing":467},"5ae938ed-0ba6-4356-8151-521bf403dbf3","2024-09-19T10:36:20.262+00:00","2026-07-12T15:50:22.969+00:00",[],"Georeferenced-LiDAR-3D-Vine-Plantation-Map-Generation",{"mag":5271,"gsPaper":5273,"pmc":5274,"openalex":5276,"abstract":5278,"title":5280,"pm":5282,"doi":5284},{"VOID":5272},"2081806902",{"VOID":3603},{"VOID":5275},"3231455",{"VOID":5277},"W2081806902",{"EN":5279},"\u003Cjats:p>The use of electronic devices for canopy characterization has recently been widely discussed. Among such devices, LiDAR sensors appear to be the most accurate and precise. Information obtained with LiDAR sensors during reading while driving a tractor along a crop row can be managed and transformed into canopy density maps by evaluating the frequency of LiDAR returns. This paper describes a proposed methodology to obtain a georeferenced canopy map by combining the information obtained with LiDAR with that generated using a GPS receiver installed on top of a tractor. Data regarding the velocity of LiDAR measurements and UTM coordinates of each measured point on the canopy were obtained by applying the proposed transformation process. The process allows overlap of the canopy density map generated with the image of the intended measured area using Google Earth®, providing accurate information about the canopy distribution and\u002For location of damage along the rows. This methodology was applied and tested on different vine varieties and crop stages in two important vine production areas in Spain. 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