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dc.contributor.authorIslam, Md Nakibul
dc.contributor.authorAiman, Umme
dc.contributor.authorChowdhury, Md Hana Sultan
dc.contributor.authorPeyal, Md Mahmudul Kabir
dc.contributor.authorMonir, Md. Fahad
dc.contributor.authorHasan, Mahady
dc.date.accessioned2023-11-01T06:09:55Z
dc.date.available2023-11-01T06:09:55Z
dc.date.issued2023-08
dc.identifier.urihttps://ar.iub.edu.bd/handle/123456789/634
dc.description.abstractFor soil salinity management, crop selection, irrigation planning, environmental impact assessment, and the advancement of agricultural research and development, saltiness data collection in agriculture is essential. The study is focused on the implementation of an Internet of Things (IoT)-based soil salinity detection system in Bangladesh, utilizing conductivity and temperature measurements. The objective of the study is to create scalable, affordable technology for real-time salinity monitoring and to deliver reliable information for successful agricultural management. Using proposed methodologies, real-time monitoring of soil saltiness and remediation activities will be made possible easily. The main findings reveal that there are significant variations in soil salinity across different regions, emphasizing the need for site-specific management strategies. The suggested solution provides a useful agricultural tool for resource management and sustainable agriculture with minimal expense, specifically targeting root-level farmers in developing countries such as Bangladesh and Myanmar.en_US
dc.publisherIndependent University, Bangladeshen_US
dc.subjectsustainable agricultureen_US
dc.subjectinternet of thingsen_US
dc.subjectsalinityen_US
dc.titleIoT-based Salinity Detection Using Conductivity and Temperature for Developing Countriesen_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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