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dc.contributor.authorAhmed, Ishtiaque
dc.contributor.authorRahman, Mahir
dc.contributor.authorMonir, Md. Fahad
dc.contributor.authorAhmed, Tarem
dc.contributor.authorRabbani, Khondkar Ayaz
dc.date.accessioned2023-11-01T09:50:25Z
dc.date.available2023-11-01T09:50:25Z
dc.date.issued2023-11-01
dc.identifier.urihttps://ar.iub.edu.bd/handle/123456789/639
dc.description.abstractCurrent smart greenhouse systems face challenges with regard to energy efficiency, cost-effectiveness, and the design of user-friendly interfaces. Wide-scale adoption of these systems requires simple and accessible solutions. These issues highlight the need for more straightforward simple and accessible solutions. Our study introduces an automated, user-friendly, affordable and power-optimized greenhouse management system using open-source technologies to tackle current efficiency and accessibility challenges. The system, powered by a solar-charged battery, uses a Node-RED designed interface, Raspberry Pi 3B for data parsing and storage, and an Arduino 2560 for microprocessing. With a custom automation algorithm and a remote control feature, the system provides real-time data visualization and enhanced usability. Particularly suited to Bangladesh’s agricultural needs, it addresses local conditions such as climate and rural electricity scarcity.en_US
dc.publisherIndependent University, Bangladeshen_US
dc.subjectSolar-Poweren_US
dc.subjectInternet Of Thingsen_US
dc.subjectCost Effectivenessen_US
dc.subjectMicro-controlleren_US
dc.subjectSensorsen_US
dc.titleIoT Driven Smart Greenhouse: A Cost-Effective and User-Centric Automation Solution For Agricultureen_US
dc.typeArticleen_US


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  • 2023 [67]
    Research articles produced by the CSE department in the year 2023

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