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Drone-based data acquisition and forwarding in precision viticulture.
Thesis (MEng)--Stellenbosch University, 2024.
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| Format: | Thesis |
| Language: | English |
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Stellenbosch : Stellenbosch University
2025
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| _version_ | 1867614136698929152 |
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| access_status_str | Open Access |
| author | Dreckmeyr, Emi |
| author2 | Wolhuter, R. |
| author_browse | Dreckmeyr, Emi Wolhuter, R. |
| author_facet | Wolhuter, R. Dreckmeyr, Emi |
| author_sort | Dreckmeyr, Emi |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description |
Thesis (MEng)--Stellenbosch University, 2024. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/131647 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:47:15.075Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/131647 Drone-based data acquisition and forwarding in precision viticulture. Dreckmeyr, Emi Wolhuter, R. Stellenbosch University. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Precision viticulture Drone aircraft in remote sensing Agricultural mapping Wine industry -- Technological innovations UCTD Thesis (MEng)--Stellenbosch University, 2024. ENGLISH ABSTRACT: The topic of this thesis is to investigate the use of drones in precision viticulture to enhance vineyard management through efficient data collection, storage, and forwarding. Precision viticulture employs advanced technologies to optimize vineyard operations, improve grape quality, and promote environmental sustainability. Drones, equipped with various sensors and communication modules, offer a novel solution for gathering high-resolution imagery, multi-spectral data, thermal information, and LiDAR scans. These data types provide critical insights into vineyard health, soil conditions, and pest management. The study addresses the efficiency, cost-effectiveness, precision, and accuracy of drone-based data collection from ground-based sensor nodes to a central base station for further processing. The primary objectives include the design of sustainable, long-life sensor nodes to measure and store parameters such as light intensity, temperature, humidity, and soil moisture. A drone payload unit is developed to collect and store this data using communication based on the LoRa protocol. Additionally, a base station unit is created to facilitate data forwarding from the drone to a local server for visualization. The study also entails developing a basic application to visualize the time-series data collected from each node. This research demonstrates that drones can significantly enhance data collection efficiency, provide real time monitoring, and support scalable and sustainable vineyard management practices. While the scope of this thesis focuses on data collection, storage, and forwarding, future work could include data processing and the implementation of automated decision-making systems for vineyard management. Further future work could investigate the synergy between ground-based data collection and high-resolution drone imagery to offer a robust framework for modern vineyard management. This integrated approach could not only enhance the understanding of vineyard characteristics but also promote sustainable and efficient agricultural practices, ultimately leading to better yield and produce quality. AFRIKAANSE OPSOMMING: Die onderwerp van hierdie tesis is die ondersoek na die gebruik van hommeltuie in presisie-wingerdbou om wingerdboordbestuur te verbeter deur doeltreffende datainsameling, data-opberging en data-versending. Presisie-wingerdbou gebruik gevorderde tegnologie¨e om wingerdoperasies te optimaliseer, druiwekwaliteit te verbeter en omgewingsvolhoubaarheidte bevorder. Hommeltuie, toegerus met verskeie sensors en kommunikasie modules, bied ’n nuwe oplossing vir die versameling van ho¨e-resolusie beelde, multi-spektrale data, termiese inligting, en LiDAR skanderings. Hierdie data verskaf kritieke insigte in wingerdgesondheid, grondtoestande en plaasbestuur. Die studie spreek die doeltreffendheid, koste-effektiwiteit, presisie en akkuraatheid aan van data-insameling met hommeltuie vanaf grondgebaseerde sensornodes na ’n sentrale basisstasie vir verdere verwerking. Die primˆere doelwitte sluit in die ontwerp van volhoubare, langlewe sensornodes om parameters soos ligintensiteit, temperatuur, humiditeit en grondvog te meet en op te berg. ’n Hommel-loonvrag-eenheid word ontwikkel om hierdie data in te samel en op te berg dmv. kommunikasie gebaseer op die LoRa-protokol. Daarbenewens word ’n basisstasie-eenheid geskep om data-versending van die hommel na ’n plaaslike bediener vir visualisering te vergemaklik. Die studie behels ook die ontwikkeling van ’n basiese toepassing om die tydreeksdata wat vanaf elke sensornode ingesamel is, te visualiseer. Hierdie navorsing toon aan dat hommeltuie data-insameling doeltreffend kan verbeter, onmiddelike monitering kan verskaf, en skaalbare en volhoubare wingerdboubestuurspraktyke kan ondersteun. Terwyl die omvang van hierdie tesis fokus op data-insameling, data-opberging, en data-versending, kan toekomstige werk data-verwerking en die implementering van outomatiese besluitnemingstelsels vir wingerdboubestuur insluit. Masters 2025-02-03T10:30:59Z 2025-02-03T10:30:59Z 2024-12 Thesis https://scholar.sun.ac.za/handle/10019.1/131647 en Stellenbosch University xv, 99 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Precision viticulture Drone aircraft in remote sensing Agricultural mapping Wine industry -- Technological innovations UCTD Dreckmeyr, Emi Drone-based data acquisition and forwarding in precision viticulture. |
| title | Drone-based data acquisition and forwarding in precision viticulture. |
| title_full | Drone-based data acquisition and forwarding in precision viticulture. |
| title_fullStr | Drone-based data acquisition and forwarding in precision viticulture. |
| title_full_unstemmed | Drone-based data acquisition and forwarding in precision viticulture. |
| title_short | Drone-based data acquisition and forwarding in precision viticulture. |
| title_sort | drone based data acquisition and forwarding in precision viticulture |
| topic | Precision viticulture Drone aircraft in remote sensing Agricultural mapping Wine industry -- Technological innovations UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/131647 |
| work_keys_str_mv | AT dreckmeyremi dronebaseddataacquisitionandforwardinginprecisionviticulture |