Academic Journal
From Seeding to Harvest: Real-Time IoT Integrated Soilless Farming System with Physiochemical Assessment of Indoor Cultivated Lactuca sativa
| Τίτλος: | From Seeding to Harvest: Real-Time IoT Integrated Soilless Farming System with Physiochemical Assessment of Indoor Cultivated Lactuca sativa |
|---|---|
| Συγγραφείς: | Moh, T.S.Y., Tiong, M.C., Bohari, N., Fong, X. I., Koh, C.C., Hii, S.L. |
| Πηγή: | INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES; Vol. 12 No. 2s (2026); 513-527 ; 2457-0370 |
| Στοιχεία εκδότη: | XLESCIENCE |
| Έτος έκδοσης: | 2026 |
| Συλλογή: | International Journal of Advances in Signal and Image Sciences (IJASIS) |
| Θεματικοί όροι: | Indoor Farming, Internet-of-Things (IoT), Nutrients Analysis, Physicochemical Assessment, Real-time monitoring |
| Περιγραφή: | This paper presents a real-time data from integrated IoT farming monitoring system across one complete cycle and parallel physiochemical assessment on L. sativa cultivated via soilless indoor farming system. The system employs a four-layer architecture integrating multi-sensor perception, Raspberry Pi–based edge computation, MQTT cloud communication, and a web-driven application interface. Continuous measurement points of pH, TDS, temperature, humidity, air quality, turbidity, and water level enables precise monitoring of plant growth conditions are presented throughout the whole cycle. Physiochemical evaluation including visual physical characteristics, morphological assessment, proximate analysis, chlorophyll quantification, ascorbic acid measurement using HPLC and phenolic determination via the Folin–Ciocalteu method was conducted to characterize plant development under the controlled conditions. Findings confirm the system’s reliability, accurate data acquisition, and its effectiveness in correlating farming environment with plant growth rate. The proposed platform offers a scalable tool for precision indoor farming and intelligent agricultural management towards sustainability practices. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| Relation: | https://xlescience.org/index.php/IJASIS/article/view/908/334; https://xlescience.org/index.php/IJASIS/article/view/908 |
| DOI: | 10.29284/gtcaex39 |
| Διαθεσιμότητα: | https://xlescience.org/index.php/IJASIS/article/view/908 https://doi.org/10.29284/gtcaex39 |
| Rights: | https://creativecommons.org/licenses/by/4.0 |
| Αριθμός Καταχώρησης: | edsbas.9B5D8658 |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://xlescience.org/index.php/IJASIS/article/view/908# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: From Seeding to Harvest: Real-Time IoT Integrated Soilless Farming System with Physiochemical Assessment of Indoor Cultivated Lactuca sativa – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Moh%2C+T%2ES%2EY%2E%22">Moh, T.S.Y.</searchLink><br /><searchLink fieldCode="AR" term="%22Tiong%2C+M%2EC%2E%22">Tiong, M.C.</searchLink><br /><searchLink fieldCode="AR" term="%22Bohari%2C+N%2E%22">Bohari, N.</searchLink><br /><searchLink fieldCode="AR" term="%22Fong%2C+X%2E+I%2E%22">Fong, X. I.</searchLink><br /><searchLink fieldCode="AR" term="%22Koh%2C+C%2EC%2E%22">Koh, C.C.</searchLink><br /><searchLink fieldCode="AR" term="%22Hii%2C+S%2EL%2E%22">Hii, S.L.</searchLink> – Name: TitleSource Label: Source Group: Src Data: INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES; Vol. 12 No. 2s (2026); 513-527 ; 2457-0370 – Name: Publisher Label: Publisher Information Group: PubInfo Data: XLESCIENCE – Name: DatePubCY Label: Publication Year Group: Date Data: 2026 – Name: Subset Label: Collection Group: HoldingsInfo Data: International Journal of Advances in Signal and Image Sciences (IJASIS) – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Indoor+Farming%22">Indoor Farming</searchLink><br /><searchLink fieldCode="DE" term="%22Internet-of-Things+%28IoT%29%22">Internet-of-Things (IoT)</searchLink><br /><searchLink fieldCode="DE" term="%22Nutrients+Analysis%22">Nutrients Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Physicochemical+Assessment%22">Physicochemical Assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+monitoring%22">Real-time monitoring</searchLink> – Name: Abstract Label: Description Group: Ab Data: This paper presents a real-time data from integrated IoT farming monitoring system across one complete cycle and parallel physiochemical assessment on L. sativa cultivated via soilless indoor farming system. The system employs a four-layer architecture integrating multi-sensor perception, Raspberry Pi–based edge computation, MQTT cloud communication, and a web-driven application interface. Continuous measurement points of pH, TDS, temperature, humidity, air quality, turbidity, and water level enables precise monitoring of plant growth conditions are presented throughout the whole cycle. Physiochemical evaluation including visual physical characteristics, morphological assessment, proximate analysis, chlorophyll quantification, ascorbic acid measurement using HPLC and phenolic determination via the Folin–Ciocalteu method was conducted to characterize plant development under the controlled conditions. Findings confirm the system’s reliability, accurate data acquisition, and its effectiveness in correlating farming environment with plant growth rate. The proposed platform offers a scalable tool for precision indoor farming and intelligent agricultural management towards sustainability practices. – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://xlescience.org/index.php/IJASIS/article/view/908/334; https://xlescience.org/index.php/IJASIS/article/view/908 – Name: DOI Label: DOI Group: ID Data: 10.29284/gtcaex39 – Name: URL Label: Availability Group: URL Data: https://xlescience.org/index.php/IJASIS/article/view/908<br />https://doi.org/10.29284/gtcaex39 – Name: Copyright Label: Rights Group: Cpyrght Data: https://creativecommons.org/licenses/by/4.0 – Name: AN Label: Accession Number Group: ID Data: edsbas.9B5D8658 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.29284/gtcaex39 Languages: – Text: English Subjects: – SubjectFull: Indoor Farming Type: general – SubjectFull: Internet-of-Things (IoT) Type: general – SubjectFull: Nutrients Analysis Type: general – SubjectFull: Physicochemical Assessment Type: general – SubjectFull: Real-time monitoring Type: general Titles: – TitleFull: From Seeding to Harvest: Real-Time IoT Integrated Soilless Farming System with Physiochemical Assessment of Indoor Cultivated Lactuca sativa Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Moh, T.S.Y. – PersonEntity: Name: NameFull: Tiong, M.C. – PersonEntity: Name: NameFull: Bohari, N. – PersonEntity: Name: NameFull: Fong, X. I. – PersonEntity: Name: NameFull: Koh, C.C. – PersonEntity: Name: NameFull: Hii, S.L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES; Vol. 12 No. 2s (2026 Type: main |
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