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Relevant bibliographies by topics / Precision farming (PF) remote sensing / Dissertations / Theses

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Dissertations / Theses on the topic 'Precision farming (PF) remote sensing'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Elmetwalli, Adel M. H. "Remote sensing as a precision farming tool in the Nile Valley, Egypt." Thesis, University of Stirling, 2008. http://hdl.handle.net/1893/844.

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Detecting stress in plants resulting from different stressors including nitrogen deficiency, salinity, moisture, contamination and diseases, is crucial in crop production. In the Nile Valley, crop production is hindered perhaps more fundamentally by issues of water supply and salinity. Predicting stress in crops by conventional methods is tedious, laborious and costly and is perhaps unreliable in providing a spatial context of stress patterns. Accurate and quick monitoring techniques for crop status to detect stress in crops at early growth stages are needed to maximize crop productivity. In t

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2

Pires, Sandra Maria Garcia Morais. "Proximal remote sensing of soil physical conditions and water availability for precision farming." Thesis, Cranfield University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420680.

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3

Belal, Abdelaziz Belal Abdel Elmontalbe. "Precision farming in the small farmland in the eastern Nile Delta Egypt using remote sensing and GIS." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980583543.

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4

Rabe, Nicole J., and University of Lethbridge Faculty of Arts and Science. "Remote sensing of crop biophysical parameters for site-specific agriculture." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2003, 2003. http://hdl.handle.net/10133/195.

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Support for sustainable agriculture by farmers and consumers is increasing as environmental and socio-economic issues rise due to more intensive farm practices. Site-specific crop management is an important component of sutainable agriculture, within which remote sensing can play an integral role. Field and image data were acquired over a farm in Saskatchewan as part of a national research project to demonstrate the advantages of site-specific agriculture for farmers. This research involved the estimation of crop biophysical parameters from airborne hyperspectral imagery using Spectral Mixture

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5

Goel, Pradeep Kumar. "Hyper-spectral remote sensing for weed and nitrogen stress detection." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82882.

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This study investigated the possibility of using data, acquired from airborne multi-spectral or hyper-spectral sensors, to detect nitrogen status and presence of weeds in crops; with the ultimate aim of contributing towards the development of a decision support system for precision crop management (PCM).<br>A 24-waveband (spectrum range 475 to 910 nm) multi-spectral sensor was used to detect weeds in corn (Zea mays L.) and soybean ( Glycine max (L.) Merr.) in 1999. Analysis of variance (ANOVA), followed by Scheffe's test, were used to determine which wavebands displayed significant diff

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6

Duchsherer, Christopher Joseph. "On the Profitability of UAS-Based NDVI Imagery for Variable Rate Nitrogen Prescriptions in Corn and Wheat in North Dakota." Thesis, North Dakota State University, 2018. https://hdl.handle.net/10365/28747.

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This study examines the grower’s decision to invest in precision agriculture technologies especially in-season variable rate nitrogen applications based on NDVI data collected from UAVs. NDVI, yield, soil, and other field data were collected from multiple corn and wheat fields located throughout North Dakota. Each field was divided into management zones to determine profitability of utilizing the technology based on in-season nitrogen applications for the grower’s field practice, high, low, and no applications. Results show that using the NDVI data collected from UAVs can be profitable when th

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7

Araújo, João Célio de. "Determinação de zonas de manejo e estimativa da produtividade de culturas de grãos por meio de videografia aérea digital multiespectral." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/11/11143/tde-05112004-140548/.

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O emprego de câmeras digitais multiespectrais torna possível a utilização de índices de vegetação, obtidos por meio de operações matemáticas entre bandas espectrais de uma mesma imagem. Estes índices podem ser empregados na estimativa de produtividade de culturas agrícolas e no delineamento de zonas de manejo, por apresentarem relação com o vigor da cultura. Algumas variáveis obtidas no campo, como o índice de área foliar (IAF), a altura de plantas e o número de plantas por metro linear, também podem ser empregadas na avaliação do vigor da cultura. O objetivo principal deste trabalho foi avali

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8

Coppa, Isabel Patricia Maria, and Isabel coppa@csw com au. "The use of remote sensing data for broad acre grain crop monitoring in Southeast Australia." RMIT University. Mathematical and Geospatial Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070201.095831.

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In 2025, there will be almost 8 billion people to feed as the worlds population rapidly increases. To meet domestic and export demands, Australian grain productivity needs to approximately triple in the next 20 years, and this production needs to occur in an environmentally sustainable manner. The advent of Hi-tech Precision Farming in Australia has shown promise in recent time to optimize the use of resources. Most

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9

Waheed, Tahir. "Artificial intelligence analysis of hyperspectral remote sensing data for management of water, weed, and nitrogen stresses in corn fields." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86060.

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This study investigated the possibility of using ground-based remotely sensed hyperspectral observations with a special emphasis on detection of water, weed and nitrogen stresses contributing towards in-season decision support for precision crop management (PCM).<br>A three factor split-split-plot experiment, with four randomized blocks as replicates, was established during the growing seasons of 2003 and 2004. Corn (Zea mays L.) hybrid DKC42-22 was grown because this hybrid is a good performer on light soils in Quebec. There were twelve 12 x 12m plots in a block (one replication per tr

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10

Gargiulo, Juan Ignacio. "Investigations into the applications and impacts of automation in pasture-based dairy systems." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27216.

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Feed and labour together account for between 50 to 75% of the dairy farm costs in pasture-based systems. Optimised grazing management through remote (satellite-based) monitoring of pastures can potentially reduce feed costs, whereas automatic milking systems (AMS) can potentially reduce labour requirements by automating the whole milking process. The overarching objective of this thesis was to identify the limitations to the uptake of these technologies and explore opportunities to make them more efficient and productive. The literature review in Chapter 2 highlighted that low accuracy in the

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11

Pelcat, Yann S. "Soil landscape characterization of crop stubble covered fields using Ikonos high resolution panchromatic images." Thesis, Winnipeg : University of Manitoba, 2006. http://www.collectionscanada.ca/obj/s4/f2/dsk3/MWU/TC-MWU-224.pdf.

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Thesis (M.Sc.)--University of Manitoba, 2006.<br>A thesis submitted to the Faculty of Graduate Studies in partial fulfillment of the requirements for the degree of Master of Science, Department of Soil Science. Includes bibliographical references.

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12

Berka, Anas. "Smart farming : Système d’aide à la décision basé sur la fusion de données multi-sources." Electronic Thesis or Diss., Bourges, INSA Centre Val de Loire, 2024. http://www.theses.fr/2024ISAB0012.

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Le travail présenté dans ce manuscrit traite de l'intégration de données multi-sources, dans le cadre applicatif de l'agriculture de précision, en mettant l'accent sur la fusion de données issues de diverses modalités telles que les images satellitaires, aériennes et de proximité. La fusion de ces sources variées vise à exploiter leurs complémentarités pour améliorer la gestion des cultures, notamment dans le cadre de la détection des maladies.Plusieurs approches basées sur l'apprentissage profond ont ainsi été proposées, notamment les architectures Vision Transformers (ViT) et DeepLab, adapté

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13

Bodirwa, Kgashane Bethuel. "Nitrogen variability assessment in tomatoes using the remote sensing technique for precision farming." Thesis, 2009. http://hdl.handle.net/10386/489.

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Thesis (M.Sc. (Agriculture)) --University of Limpopo, 2009<br>The purpose of the study was to assess nitrogen variability in tomato using the Remote Sensing Technique. The assessment was carried out through three growth stages (seedling, 50% flowering, and 50% fruiting stage). The GreenSeeker optical sensor unit that records NDVI values and total leafy nitrogen analyzer, “The Primacssn Nitrogen Analyzer,” was used in this study for data collection. Fertilizers were applied to the soil (Urea - 46% N, Superphosphate) every two weeks in the pots only for the treated experiment, and no nitro

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14

Erasmi, Stefan. "Analyse spektroradiometrischer in situ Messungen als Datenquelle für die teilflächenspezifische Zustandsbeschreibung von Winterweizenbeständen." Doctoral thesis, 2002. http://hdl.handle.net/11858/00-1735-0000-0006-B25D-A.

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15

Belal, Abdelaziz Belal Abdel Elmontalbe [Verfasser]. "Precision farming in the small farmland in the eastern Nile Delta Egypt using remote sensing and GIS / vorgelegt von Abdelaziz Belal Abdel Elmontalbe Belal." 2006. http://d-nb.info/980583543/34.

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16

Mancini, Marco. "Agronomic techniques for precision management of field crops." Doctoral thesis, 2022. http://hdl.handle.net/2158/1275132.

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17

Carvalho, Ana Cristina Vilhena Raminhos. "A detecção remota e os SIG na produção animal - análise da contribuição e situação actual." Master's thesis, 2010. http://hdl.handle.net/10362/4039.

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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Ciência e Sistemas de Informação Geográfica<br>O sector pecuário está a atravessar rápidas mudanças em resposta às pressões impostas pela globalização e pela crescente procura pelos produtos de origem animal nos países em desenvolvimento. Este crescimento e transformação têm consequências sociais e ambientais. Perante este cenário revela‐se pertinente um levantamento através de uma revisão de literatura, da situação actual no que toca à contribuição que a Detecção Remota (DR) e os Sistemas de Informação Geo

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