IoT-Driven Soil Nutrient Measurement Using LoRa and Broken-Stick Regression Techniques.
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| Title: | IoT-Driven Soil Nutrient Measurement Using LoRa and Broken-Stick Regression Techniques. |
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| Authors: | Pallavi, C. V.1,2, pallavicv.cse@bmsce.ac.in, Usha, S.3, ushaofficial13@gmail.com |
| Source: | Engineering, Technology & Applied Science Research; Feb2026, Vol. 16 Issue 1, p32625-32633, 9p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192212743 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: IoT-Driven Soil Nutrient Measurement Using LoRa and Broken-Stick Regression Techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pallavi%2C+C%2E+V%2E%22">Pallavi, C. V.</searchLink><relatesTo>1,2</relatesTo>, <i>pallavicv.cse@bmsce.ac.in</i><br /><searchLink fieldCode="AU" term="%22Usha%2C+S%2E%22">Usha, S.</searchLink><relatesTo>3</relatesTo>, <i>ushaofficial13@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Feb2026, Vol. 16 Issue 1, p32625-32633, 9p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192212743 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.12854 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 32625 Titles: – TitleFull: IoT-Driven Soil Nutrient Measurement Using LoRa and Broken-Stick Regression Techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pallavi, C. V. – PersonEntity: Name: NameFull: Usha, S. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 1 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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