- Title (english):
- IoT Data Integration and Visualization with Geographic Information Systems for Decision-Making Support in Agriculture
- Creator:
- Sethupathi Selvam
- Publisher:
- Ventspils: Ventspils Augstskola
- Date created:
- 2025
- Type group:
- Text
- Type:
- Scientific Work
Metadata
- Title (english):
- IoT Data Integration and Visualization with Geographic Information Systems for Decision-Making Support in Agriculture
- Alternative title (latvian):
- IoT datu integrācija un vizualizācija ar ģeogrāfiskajām informācijas sistēmām lēmumu pieņemšanas atbalstam lauksaimniecībā
- Scientific work type:
- Bakalaura darbs
- Creator:
- Sethupathi Selvam
- Contributor:
- Ginta Majore, zinātniskais vadītājs
- Contributor:
- Agris Blūms, recenzents
- Format extent (latvian):
- 42 lp.
- Publisher:
- Ventspils: Ventspils Augstskola
- Date created:
- 2025
- Format medium:
- Paper
- Language:
- english
- Abstract (english):
- Title of the thesis: IoT data integration and visualization with geographic information systems for decision-making support in agriculture. Author: Sethupathi Selvam Supervisor: Dr. ing. Ginta Majore Scope of work: 43 pages, 16 figures, 1 table, and 1 annex. Target audience: Agricultural technology researchers, environmental monitoring devel- opers, and precision irrigation practitioners. Keywords: IOT; GIS; PRECISION AGRICULTURE; EVAPOTRANSPIRA- TION; SENSOR DASHBOARD. The Bachelor’s thesis explores the integration of IoT and GIS technologies to enhance decision support for smart agriculture. It identifies core challenges in real-time environ- mental data collection, visualization, and irrigation planning. A full-stack dashboard solution was designed using Zentra Cloud APIs, PostgreSQL, Tailwind CSS, and Next.js to visualize sensor data on a GIS map and calculate evapotranspiration (ET) for water management. The dashboard was evaluated through performance tests and field demonstrations. Results show that the system improves irrigation decision speed, sensor usability, and ET prediction reliability. The proposed system is suitable for farmers, agronomists, and IoT developers aiming to implement real-time soil monitoring. No conference presentations or publications have resulted from this work yet.
- Is part of collection:
- Academia
- Subject:
- Bakalaura darbi
- Subject:
- Ventspils Augstskola. Informācijas tehnoloģiju fakultāte
- Subject:
- Datorzinātnes
- URL:
- https://ventspils.biblioteka.lv/AlisePAC/Details?title=IoT%2BData%2BIntegration%2Band%2BVisualization%2Bwith%2BGeogra&Id=278667&Ident=1288728&InstanceId=29&LibraryId=0
- Geographic name:
- Ventspils (Latvija)
- Object location (*):
- Ventspils Augstskola
- Date captured:
- 03.03.2026
- APLIS copyright status:
- Protected by rights
- APLIS access rights:
- This work is protected by copyright and/or neighboring rights. It can be freely used for personal use, scientific research, or self-education. Other uses require permission from the right holder(s).
- APLIS statement of rights:
- Protected by copyrights - not in commercial circulation
- APLIS access notice:
- Accessible online (without the ability to download)
- Blocked:
- Nē
- Type group:
- Text
- Type:
- Scientific Work
- URI:
-
https://dom.lndb.lv/data/obj/1665535
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|---|---|---|---|---|
| 1. | copyright.json | Autortiesību fails | 7.44 KB | 9c26ab6f366918b472050eb1a60b0207 |
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