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DC Field | Value | Language |
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dc.contributor.author | Prashant Kumar | - |
dc.contributor.author | Garg, Pardeep [Guided by] | - |
dc.date.accessioned | 2023-11-06T10:45:50Z | - |
dc.date.available | 2023-11-06T10:45:50Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/10319 | - |
dc.description | Enrollment No. 212053 | en_US |
dc.description.abstract | A significant opportunity to put into action practical ideas that aimed is to improve village infrastructure so that it benefit our aim of intelligent water irrigation, that is demonstrated by the automation of agriculture by proper beginning of enlarge variety of technology skills improvement, like wise as the term of Internet of Things and cloud computing. The first study that we go through was provided by independent watering systems with a simple route based on the Internet of Things for remotely controlling water pumps and keep eyes on robotic systems. Technology advancements and improvement are utilized in this ongoing project. The sensors are connected to the network so that it can collect information and send it to the cloud. Thus as a result of the method's improved capacity to conjugate the real world with computer based structures, financial advantage will improve. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Smart Irrigation | en_US |
dc.subject | Internet of things | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Farming | en_US |
dc.title | Smart Irrigation System Using Machine Learning and IoT | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertations (M.Tech.) |
Files in This Item:
File | Description | Size | Format | |
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Smart Irrigation System Using Machine Learning and IoT.pdf | 2.11 MB | Adobe PDF | View/Open |
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