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Dissertations / Theses on the topic 'Detecting Crop'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Owusu, Alex B. "Detecting and quantifying the extent of desertification and its impact in the semi-arid Sub-Saharan Africa a case study of the Upper East Region, Ghana /." Fairfax, VA : George Mason University, 2009. http://hdl.handle.net/1920/4576.

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Thesis (Ph.D.)--George Mason University, 2009.<br>Vita: p. 287. Thesis co-directors: Sheryl L. Beach, Guido Cervone. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Earth Systems and Geoinformation Sciences. Title from PDF t.p. (viewed Oct. 11, 2009). Includes bibliographical references (p. 267-286). Also issued in print.

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2

Chaaro, Lina, and Antón Laura Martínez. "Crop and weed detection using image processing and deep learning techniques." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18630.

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Artificial intelligence, specifically deep learning, is a fast-growing research field today. One of its various applications is object recognition, making use of computer vision. The combination of these two technologies leads to the purpose of this thesis. In this project, a system for the identification of different crops and weeds has been developed as an alternative to the system present on the FarmBot company’s robots. This is done by accessing the images through the FarmBot API, using computer vision for image processing, and artificial intelligence for the application of transfer learni

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3

Potiris, Steven. "Robust and Efficient Individual Plant Mapping of Vegetable Crops." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23251.

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Crop mapping can provide phenotype data for breeding research. To provide phenotyping data for individual plants, a system must be able to detect and segment each plant from its background. Many existing datasets reflect non-commercial cases where the plants do not overlap with weeds or other plants. The relative ease of segmenting the crops from background in these environments warrants the use of implicit instance segmentation models, which fail in more complex environments. This thesis investigates the use of explicit instance segmentation models to overcome the shortcomings of implicit m

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4

Varshney, Varun. "Supervised and unsupervised learning for plant and crop row detection in precision agriculture." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35463.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>The goal of this research is to present a comparison between different clustering and segmentation techniques, both supervised and unsupervised, to detect plant and crop rows. Aerial images, taken by an Unmanned Aerial Vehicle (UAV), of a corn field at various stages of growth were acquired in RGB format through the Agronomy Department at the Kansas State University. Several segmentation and clustering approaches were applied to these images, namely K-Means clustering, Excessive Green (ExG) Index algorit

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Whitehurst, Daniel Scott. "Techniques for Processing Airborne Imagery for Multimodal Crop Health Monitoring and Early Insect Detection." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73048.

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During their growth, crops may experience a variety of health issues, which often lead to a reduction in crop yield. In order to avoid financial loss and sustain crop survival, it is imperative for farmers to detect and treat crop health issues. Interest in the use of unmanned aerial vehicles (UAVs) for precision agriculture has continued to grow as the cost of these platforms and sensing payloads has decreased. The increase in availability of this technology may enable farmers to scout their fields and react to issues more quickly and inexpensively than current satellite and other airborne me

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Karimi-Zindashty, Yousef. "Application of hyperspectral remote sensing in stress detection and crop growth modeling in corn fields." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=85560.

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This study used hyperspectral data to determine nitrogen, weed, and water stresses in a corn (Zea mays L.) field in southwestern Quebec, and incorporated these data in crop growth models for better crop growth simulation under stressful conditions.<br>In 2000, aerial hyperspectral images (72 wavebands, ranging from 407 to 949 nm) were acquired, and analyzed using a stepwise approach to identify wavebands useful in detecting weed and nitrogen stresses. Discriminant analysis (DA) was used to classify different weed and nitrogen treatments and their combinations. This analysis showed great

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Budge, Giles Elliott. "Detection and characterisation of Rhizoctonia solani affecting UK Brassica crops." Thesis, University of Reading, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.486318.

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Rhizoctonia so/ani is the causative agent of wirestem on Brassica crops. R. so/ani is a species complex comprising genetically. distinct groups known as anastomosis groups (AGs). Knowledge of which AGs are responsible for disease is necessary to formulate appropriate management strategies. Important knowledge about the specific AGs responsible for disease in UK Brassica crops and where in the production chain the fungus became associated with plants was lacking. A survey of UK .f3rassica o/eracea crops was completed to. establish which anastomosis groups of Rhizoctonia so/ani were associated w

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8

Crane, Andrew John. "The spectral detection of salt stress in cotton." Thesis, University of Portsmouth, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292358.

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Hughes, J. d'A. "Viruses of the Araceae and Dioscorea species : Their isolation, characterization and detection." Thesis, University of Reading, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375063.

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10

Kautz, Burkard [Verfasser]. "Fluorescence-based systems for detection of abiotic stresses on horticultural crops / Burkard Kautz." Bonn : Universitäts- und Landesbibliothek Bonn, 2016. http://d-nb.info/1107541867/34.

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11

Coomer, Taylor Dayne. "Effect of Potassium Deficiency on Uptake and Partitioning in the Cotton (Gossypium hirsutum L.) Plant and Detection by a Crop Reflectance Sensor." Thesis, University of Arkansas, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10110014.

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<p> For cotton (<i>Gossypium hirsutum</i> L.) to grow and develop normally, plants need to uptake the necessary amount of nutrients and use those nutrients in a beneficial fashion. It is recognized that cotton needs a certain tissue concentration of ions to achieve and maintain growth rates (Siddiqi et al., 1987). One of the most essential and abundant nutrients in cotton is potassium (K), second only by mass to nitrogen (N) (Marschner, 1995; Oosterhuis et al., 2013). Potassium exists in the soil in four separate pools and moves through soil to roots mainly through diffusion (Rengel & Damo

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12

Gerhards, Max [Verfasser], and Thomas [Akademischer Betreuer] Udelhoven. "Advanced Thermal Remote Sensing for Water Stress Detection of Agricultural Crops / Max Gerhards ; Betreuer: Thomas Udelhoven." Trier : Universität Trier, 2018. http://d-nb.info/1197807756/34.

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13

Simon, Alison G. "The Detection of an Invasive Pathogen through Chemical and Biological Means for the Protection of Commercial Crops." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3558.

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Standoff detection of targets using volatiles is essential when considering substances that are hazardous or dangerous, or for which the presence or location is unknown. For many invasive biological threats, their presence is often not realized until they have begun visibly affecting and spreading through crops or forests. The fungus Raffaelea lauricola is a biothreat vectored by the invasive beetle Xyleborus glabratus, or redbay ambrosia beetle (RAB), whose presence in avocado groves is currently detectable by visual inspection. Once visually identified, the affected trees must be removed and

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14

Nguyen, Thanh Le Vi. "Local Binary Pattern based algorithms for the discrimination and detection of crops and weeds with similar morphologies." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2359.

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In cultivated agricultural fields, weeds are unwanted species that compete with the crop plants for nutrients, water, sunlight and soil, thus constraining their growth. Applying new real-time weed detection and spraying technologies to agriculture would enhance current farming practices, leading to higher crop yields and lower production costs. Various weed detection methods have been developed for Site-Specific Weed Management (SSWM) aimed at maximising the crop yield through efficient control of weeds. Blanket application of herbicide chemicals is currently the most popular weed eradication

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Chakraborty, Prosenjit. "Molecular detection, diversity analysis and management of some RNA viruses infecting crops in North-East Indian plains." Thesis, University of North Bengal, 2018. http://ir.nbu.ac.in/hdl.handle.net/123456789/2694.

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Pena, Gustavo. "Comparative Performance of Fluorometry and High Performance Liquid Chromatography in the Detection of Alfatoxin M1 in Two Commercial Cheeses." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/735.

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Aflatoxin M1 (AFM1) is frequently found in milk and dairy products. It is a metabolite formed in cows from aflatoxin B1 (AFB1), contained in animal feeds. In cheese production AFM1 distributes between curds and whey. In this study, cows were fed 64 µg/AFB1/d for the high treatment, and 5 µg/AFB1/d for the low treatment, to obtain milk contaminated with AFM1 over the 0.5 µg/L and under 0.05 µg/L restrictions, respectively. Cheese was manufactured with milk contaminated with AFM1 at 0.8 and 0.03 ìg/kg by the higher and lower treatment, respectively. Two commercial cheeses were elaborated: a hard

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Lea, Krista La Moen. "TALL FESCUE ERGOVALINE CONCENTRATION BASED ON SAMPLE HANDLING AND STORAGE METHOD." UKnowledge, 2014. http://uknowledge.uky.edu/pss_etds/35.

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Ergovaline is produced by the endophyte Neotyphodium coenophialum (Morgan-Jones and Gams) in tall fescue (Schedonorus arundinacea (Schreb.) Dumort. = Festuca arundinacea Schreb.) and is blamed for a multitude of costly livestock disorders. Testing of pastures is common in both research and on farm situations. Since ergovaline is known to be unstable and affected by many variables, the objective of this study was to determine the effect of sample handling and storage on the stability of this compound. Homogeneous milled tall fescue sub-samples were analyzed for ergovaline concentration using HP

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18

Bah, Mamadou Dian. "Détection des adventices par imagerie aérienne." Thesis, Orléans, 2020. http://www.theses.fr/2020ORLE3190.

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Dans le contexte agricole actuel, il est nécessaire de réduire l’utilisation des produits phytosanitaires contre les mauvaises herbes. Le désherbage localisé présente une alternative prometteuse pour limiter les coûts et l’impact environnemental. Cependant, la localisation automatique des adventices n’est pas une tâche facile car elle présente plusieurs défis scientifiques et technologiques. L’objectif de cette thèse est de proposer des méthodes de traitement d’images et d’intelligence artificielle pour la localisation des adventices en grandes cultures. Dans ce cadre, nous avons abordé deux p

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19

Viljanen-Rollinson, S. L. H. "Expression and detection of quantitative resistance to Erysiphe pisi DC. in pea (Pisum sativum L.)." Lincoln University, 1996. http://hdl.handle.net/10182/1657.

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Characteristics of quantitative resistance in pea (Pisum sativum L.) to Erysiphe pisi DC, the pathogen causing powdery mildew, were investigated. Cultivars and seedlines of pea expressing quantitative resistance to E. pisi were identified and evaluated, by measuring the amounts of pathogen present on plant surfaces in field and glasshouse experiments. Disease severity on cv. Quantum was intermediate when compared with that on cv. Bolero (susceptible) and cv. Resal (resistant) in a field experiment. In glasshouse experiments, two groups of cultivars, one with a high degree of resistance and the

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Gobor, Zoltan. "Development of a novel mechatronic system for mechanical weed control of the intra row area in row crops based in detection of single plants and adequate controlling of the hoeing tool in real time /." Bonn : Inst. für Landtechnik, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016668688&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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21

Goumas, Dimitrios. "Possibilites de detection d'erwinia chrysanthemi pv. Dianthicola (hellmers) dickey 1979-agent de la bacteriose du dahlia sp. Evaluation des methodes immunoenzymatiques pour le controle sanitaire du materiel de propagation." Paris 6, 1987. http://www.theses.fr/1987PA066405.

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La bacteriose a e. Chrysanthemi pv. Dianthicola (echr) facteur limitant de la production du dahlia est transmise par la multiplication vegetative. Afin de proposer une methode de diagnostic plus precise que la detection visuelle, les methodes immunoenzymatiques ont ete etudiees et adaptees pour la detection d'echr dans les tissus du dahlia. La methode das-elisa (double antibody sandwich) est evaluee par rapport aux methodes de diagnostic de reference (isolement et immunofluorescence). Son utilisation, pour l'analyse sanitaire du materiel de propagation vis-a-vis d'echr seul et associe eventuel

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Hu, Jiahuai. "Phytophthora nicotianae: Fungicide Sensitivity, Fitness, and Molecular Markers." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/26416.

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Mefenoxam has been a premier compound for Phytophthora disease control in the nursery industry for 30 years. The primary objectives of this research were to examine whether Phytophthora species have developed resistance to this compound and to investigate fungicide resistance management strategies. Phytophthora nicotianae, a destructive pathogen of numerous herbaceous and some woody ornamental plants, was used as a model system. P. cinnamomi, a major pathogen of a wide range of tree species and shrub plants, was also included for comparison. Twenty-six isolates of P. nicotianae were highly res

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23

Zadeh, Saman Akbar. "Application of advanced algorithms and statistical techniques for weed-plant discrimination." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2020. https://ro.ecu.edu.au/theses/2352.

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Precision agriculture requires automated systems for weed detection as weeds compete with the crop for water, nutrients, and light. The purpose of this study is to investigate the use of machine learning methods to classify weeds/crops in agriculture. Statistical methods, support vector machines, convolutional neural networks (CNNs) are introduced, investigated and optimized as classifiers to provide high accuracy at high vehicular speed for weed detection. Initially, Support Vector Machine (SVM) algorithms are developed for weed-crop discrimination and their accuracies are compared with a con

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24

Romberg, Megan Kara. "Research into two diseases of solanaceous crops in California : 1) characterization of potato early dying in Kern County, California. 2) phylogeny, host range and molecular detection of Fusarium solani f.sp. eumartii, causal agent of Eumartii wilt in potato, foot rot of tomato and stem rot of pepper /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2005. http://uclibs.org/PID/11984.

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25

Hamid, Muhammed Hamed. "Hyperspectral Image Generation, Processing and Analysis." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-5905.

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(9778178), Lafta Atshan. "Multispectral and thermal imagery approaches to insect pest and disease detection in horticultural crops." Thesis, 2021. https://figshare.com/articles/thesis/Multispectral_and_thermal_imagery_approaches_to_insect_pest_and_disease_detection_in_horticultural_crops/19919891.

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Early identification and control of insect pests and diseases is a key aspect of profitable crop production, especially for high input, high value horticultural crops. Remote sensing approaches using sensor technologies to detect insect pests and diseases have been previously demonstrated in a range of field crops and were researched in this project as a tool for plant health monitoring in chilli crops. A methodology for image capture using a multispectral camera mounted on an Unmanned Aerial Vehicle (UAV) and image processing based on distribution of individual pixel values in collected image

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Fernandes, João Luís Rodrigues. "Analysis of classification algorithms for crop detection using LANDSAT 8 images." Master's thesis, 2015. http://hdl.handle.net/10362/16204.

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Remote sensing - the acquisition of information about an object or phenomenon without making physical contact with the object - is applied in a multitude of different areas, ranging from agriculture, forestry, cartography, hydrology, geology, meteorology, aerial traffic control, among many others. Regarding agriculture, an example of application of this information is regarding crop detection, to monitor existing crops easily and help in the region’s strategic planning. In any of these areas, there is always an ongoing search for better methods that allow us to obtain better results. Fo

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Greeff, Martha Susanna. "Detection of nematode infestation in crop plants with the aid of a spectroradiometer." Thesis, 2014. http://hdl.handle.net/10210/12899.

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Liao, Cheng-Kai, and 廖晟凱. "Development of a Spot Detection System for Crop by Using Chlorophyll Fluorescence Image." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/01316513883550057540.

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碩士<br>國立宜蘭大學<br>生物機電工程學系碩士班<br>100<br>The objective of this research is to use Chlorophyll Fluorescence imaging as a reverse process examination to observe the spraying of pesticide and high-humidity and high-temperature on plants, working with a visual process to identify and analyze disease spots (black dots in an image) in a non-destructive way. The main program of the disease spot recognition was written by using graphical language LabVIEW software. The visual imaging procedure was created through the Vision Assistant program, and was combined with the main program for research use. In thi

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(9810248), Bed Khatiwada. "Non-invasive detection of internal defects in fruit by using visible-shortwave NIR spectroscopy." Thesis, 2016. https://figshare.com/articles/thesis/Non-invasive_detection_of_internal_defects_in_fruit_by_using_visible-shortwave_NIR_spectroscopy/13437083.

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Non-invasive detection of three internal disorders of fruit of commercial relevance to Queensland horticulture was considered: (i) diffuse browning of apple fruit; (ii) gelling defect of mandarin fruit; and (iii) translucency of pineapple fruit. Visible - short wave near infrared spectroscopy (vis-SWNIRS) is in commercial use for non-invasive field and in line assessment of fruit dry matter and soluble solids content of mango and apple. Some claims exist for commercially available instrumentation for sorting of fruit internal defects, but no assessment of such systems exists in the scientific

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Hsu, Wei-Chih, and 徐偉智. "Development of a Portable Detection System for Physiological Disease of Crop Using Chlorophyll Fluorescence Image." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/20421298909002152054.

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碩士<br>國立宜蘭大學<br>生物機電工程學系碩士班<br>102<br>This objective of this research was to establish a portable chlorophyll fluorescence imaging detection system, which could detect the information for the diseased leaf earlier than the naked eyes. In this study, by using the crop fluorescence characteristic experiments, high-temperature stress experiments and outdoor experiments to establish a portable chlorophyll fluorescence imaging detection system efficacy. The main object of the research trial was the Toyonoka Strawberry seedling and it was 15 days old. The test results for fluorescence characteristic

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Zygielbaum, Arthur I. "Detection and measurement of water stress in vegetation using visible spectrum reflectance." 2009. http://proquest.umi.com/pqdweb?did=1933939841&sid=17&Fmt=2&clientId=14215&RQT=309&VName=PQD.

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Thesis (Ph.D.)--University of Nebraska-Lincoln, 2009.<br>Title from title screen (site viewed February 25, 2010). PDF text: xvii, 164 p. : ill. (chiefly col.) ; 7 Mb. UMI publication number: AAT 3386611. Includes bibliographical references. Also available in microfilm and microfiche formats.

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Alshanbari, Reem. "Artificial-Intelligence-Enabled Robotic Navigation Using Crop Row Detection Based Multi-Sensory Plant Monitoring System Deployment." Thesis, 2021. http://hdl.handle.net/10754/670240.

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The ability to detect crop rows and release sensors in large areas to ensure homogeneous coverage is crucial to monitor and increase the yield of crop rows. Aerial robotics in the agriculture field helps to reduce soil compaction. We report a release mechanics system based on image processing for crop row detection, which is essential for field navigation-based machine vision since most plants grow in a row. The release mechanics system is fully automated using embedded hardware and operated from a UAV. Once the crop row is detected, the release mechanics system releases lightweight, flex

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34

"Detection of genetically modified foods (GMFs)." 2001. http://library.cuhk.edu.hk/record=b5896000.

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Wong Wai Mei.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.<br>Includes bibliographical references (leaves 175-192).<br>Abstracts in English and Chinese.<br>Declaration --- p.ii<br>Acknowledgements --- p.iii<br>Abstract --- p.iv<br>Abbreviation --- p.vi<br>Table of Contents --- p.vii<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter Section I --- The Making of Genetically Modified Organisms --- p.2<br>Chapter 1.1 --- Conventional breeding in agriculture --- p.2<br>Chapter 1.2 --- What is genetic engineering? --- p.4<br>Chapter 1.3 --- Plant transformation --- p.5

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Lue, Yun-Sheng, and 呂昀陞. "Characterization and detection of pathogenic Xanthomonas species from solanaceous and cruciferous crops in Taiwan." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43n7ef.

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博士<br>國立中興大學<br>植物病理學系所<br>98<br>The plant pathogenic Xanthomonas can infect several hosts including rice, fruit crop, horticulture crop and vegetable crop. The warm temperature and high humidity climate favor the diseases caused by Xanthomonas. Solanaceous and cruciferous plants are economically important vegetable crops in Taiwan. These xanthomonads associated with solanaceous and cruciferous plants often trigger serious losses. The contaminated seeds are the significant primary inoculum sources in the fields. Development of rapid and accurate detection techniques for these pathogens is

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Liao, Wei-Ching, and 廖韋晴. "Development of Electrochemical Sensing Platforms for the Detection of Ecoli O157, Vitamin H and Biotech Crops." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/44604880367421839981.

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博士<br>國立清華大學<br>化學系<br>101<br>Development of rapid, sensitive, portable, and low cost biosensors is important and in urgent need in clinic, environmental, and bio-industrial fields for real-time monitoring and diagnosis. In this dissertation, three electrochemical biosensing platforms are designed and demonstrated for the detection of pathogenic Escherichia coli O157, dietary supplement of vitamin H, and biotech product–genetically modified crops. Enterohemorrhagic Escherichia coli O157, a verocytotoxin-producing pathogen, can be deadly because it can induce acute or chronic renal failure. To

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Li-PengPan and 潘立朋. "Ag nanostar-clusters on adhesive tape as a SERS substrate for rapid detection of residual pesticide on crops." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/zpuqf9.

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Kao, Wei Chieh, and 高韋傑. "Dual-aptamer assay for CRP detection by using field-effect transistors on an integrated microfluidic system." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/44733381535006898877.

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McCuiston, Jamie Leigh. "Development of a PCR-based diagnostic assay and sampling protocol for the detection of Aphelenchoides fragariae in ornamental host crops." 2007. http://www.lib.ncsu.edu/theses/available/etd-03202007-105749/unrestricted/etd.pdf.

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Chen, Hsaing-Yin, and 陳香吟. "The Application of Fiber-Optic Biosensor on Measuring Kinetics of mCRP/anti-CRP interaction for Acute Myocardial Infarction Detection." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/73801984665936279388.

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碩士<br>國立陽明大學<br>生醫光電工程研究所<br>93<br>Acute myocardial infarction (AMI) is one of the most common disease in industrialized countries and now is becoming an serious problem in developing countries. AMI occurs when a coronary blood flow decreases abruptly after a thrombotic occlusion of a coronary artery previously narrowed by atherosclerosis. In this research, a novel fiber-optic biosensor which can quickly diagnose AMI at early stage is developed and tested. In this study, a fiber-optic biosensor which an antibody immobilized on the unclad region of a plastic fiber captures its antigen, and th

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