Study of an Intelligent Agriculture System based on IoT.

dc.contributor.authorBoukedjar Yasmine, Benkechida Wardia
dc.date.accessioned2024-06-05T13:25:42Z
dc.date.available2024-06-05T13:25:42Z
dc.date.issued2024-05
dc.description.abstractThis master’s thesis discusses how the IOT can be used toward the development of an intelligent agriculture system, with a special focus on the design and implementation of our smart lawn mower project. The smart lawn mower includes advanced features, such as obstacle detection and independent working, offered by IoT technologies. By intelligently embedding sensors, actuators, and connectivity, the project develops the autonomy and efficiency of lawn care, achieving sustainable and productive outdoor care. Conclusions derived from this research indicate the applicability of IoT in increasing productivity and minimizing the impact on the environment in agricultural settings, and they provide insight into further projects seeking to use the power of IoT for smart farming solutions.en_US
dc.identifier.urihttp://10.10.1.6:4000/handle/123456789/4985
dc.language.isoenen_US
dc.publisherfaculté des sciences et de la technologie* univ bbaen_US
dc.relation.ispartofseries;EL/M/2024/09
dc.subjectIOT, Intelligent Agriculture System, Smart Lawn Mower, Obstacle Detection, Sensors, Actuators, Connectivity, Autonomy, Smart Farming.en_US
dc.titleStudy of an Intelligent Agriculture System based on IoT.en_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Thesis.docx
Size:
9.02 MB
Format:
Microsoft Word XML
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: