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dc.contributor.author |
Boukedjar Yasmine, Benkechida Wardia |
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dc.date.accessioned |
2024-09-24T13:33:56Z |
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dc.date.available |
2024-09-24T13:33:56Z |
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dc.date.issued |
2024-07 |
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dc.identifier.uri |
https://dspace.univ-bba.dz:443/xmlui/handle/123456789/5477 |
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dc.description.abstract |
This 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.language.iso |
en |
en_US |
dc.publisher |
faculté des sciences et de la technologie* univ bba |
en_US |
dc.relation.ispartofseries |
;EL/M/2024/09 |
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dc.subject |
IOT, Intelligent Agriculture System, Smart Lawn Mower, Obstacle Detection, Sensors, Actuators, Connectivity, Autonomy, Smart Farming |
en_US |
dc.title |
Study of an Intelligent Agriculture System based on IoT. |
en_US |
dc.type |
Thesis |
en_US |
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