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Please use this identifier to cite or link to this item: https://irju.jdvu.ac.in/jspui/handle/123456789/10618
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dc.contributor.advisorNeogy, Sarmistha, guide-
dc.contributor.advisorGiri, Arindam, guide-
dc.contributor.authorParia, Abhirup-
dc.date.accessioned2026-09-15T10:53:29Z-
dc.date.available2026-09-15T10:53:29Z-
dc.date.issued2026-
dc.date.submitted2026-
dc.identifier.otherTC4647-
dc.identifier.urihttps://irju.jdvu.ac.in/jspui/handle/123456789/10618-
dc.descriptionSupervisor(s): Neogy, Sarmistha (Dept. of Computer Science and Engineering, J.U.) and Giri, Arindam (Dept. of Computer Science and Engineering, Haldia Institute of Technology, Haldia, West Bengal)en_US
dc.descriptionAwarded year: 2026en_US
dc.format.extentxvi, 150 [1] p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectPrecision Agricultureen_US
dc.subjectExplainable Artificial Intelligence (XAI)en_US
dc.subjectHybrid Machine Learning Modelsen_US
dc.subjectIoT-Based Smart Irrigationen_US
dc.subjectSustainable Crop and Fertilizer Predictionen_US
dc.titleMachine learning applications for precision agricultureen_US
dc.typeTexten_US
dc.departmentJadavpur University. Department of Computer Science and Engineeringen_US
Appears in Collections:2026 (Awarded Year)

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PhD Thesis (CSE) Abhirup Paria.pdf64.82 MBAdobe PDFView/Open
Abstract Abhirup Paria.pdf109.82 kBAdobe PDFView/Open


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