Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184782
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dc.contributor.authorAntony, Maria Merinen_US
dc.contributor.authorKeerthi, K.en_US
dc.contributor.authorNagarajan, S.en_US
dc.contributor.authorPerumbilavil, Sreekanthen_US
dc.contributor.authorMatham, Murukeshan Vadakkeen_US
dc.date.accessioned2025-05-08T05:00:30Z-
dc.date.available2025-05-08T05:00:30Z-
dc.date.issued2025-
dc.identifier.citationAntony, M. M., Keerthi, K., Nagarajan, S., Perumbilavil, S. & Matham, M. V. (2025). A real-time optical monitoring technology for sustainable hydroponic crop management. SPIE Photonic Technologies in Plant and Agricultural Science II, 13357, 133570H-. https://dx.doi.org/10.1117/12.3052331en_US
dc.identifier.urihttps://hdl.handle.net/10356/184782-
dc.description.abstractIndoor vertical farming is crucial for solving future food challenges, especially in arable land-scarce countries. Among various techniques, hydroponics, which relies on nutrient-enriched water rather than soil to grow crops, has gained significant traction. However, optimizing crop yield while minimizing manual labor remains a challenge, particularly in automating crop health monitoring and nutrient replenishment. Currently, these processes are labor-intensive, prone to human error, and often subjective. While previous studies have utilized imaging techniques for detecting plant stress, monitoring chlorophyll content, and other health indicators, a fully integrated and automated system is still lacking. Current nutrient monitoring relies on tools such as electrical conductivity and pH meters, which provide only limited feedback on nutrient imbalances, inadequate to identify specific deficiencies or elemental concentrations accurately. To address these gaps, we propose a comprehensive monitoring system that combines two advanced modalities: imaging spectroscopy and laser-based elemental spectroscopy. This system includes imaging spectroscopes for monitoring crop health and a real-time nutrient analysis system based on laser-induced elemental spectroscopy for in situ quantitative chemical composition analysis of the nutrient solution. This comprehensive system will automate health monitoring and nutrient management, improving crop productivity and significantly reducing manual labor. The current prototype is optimized to swiftly identify crop growth stages, detect nutrient deficiencies, and quantify specific nutrient levels in green lettuce species. This advancement represents a significant step toward enhancing the efficiency and sustainability of indoor vertical farming.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.description.sponsorshipSingapore Food Agencyen_US
dc.language.isoenen_US
dc.relationSFS_RND_ SUFP_001_03en_US
dc.relationRG119/21en_US
dc.rights© 2025 Society of Photo-Optical Instrumentation Engineers (SPIE). All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1117/12.3052331.en_US
dc.subjectAgricultural Sciencesen_US
dc.subjectPhysicsen_US
dc.titleA real-time optical monitoring technology for sustainable hydroponic crop managementen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.conferenceSPIE Photonic Technologies in Plant and Agricultural Science IIen_US
dc.contributor.researchCentre for Optical and Laser Engineeringen_US
dc.identifier.doi10.1117/12.3052331-
dc.description.versionPublished versionen_US
dc.identifier.volume13357en_US
dc.identifier.spage133570Hen_US
dc.subject.keywordsCrop monitoringen_US
dc.subject.keywordsImaging systemsen_US
dc.subject.keywordsLaser induced breakdown spectroscopyen_US
dc.subject.keywordsSustainabilityen_US
dc.subject.keywordsCalciumen_US
dc.subject.keywordsLaser spectroscopyen_US
dc.subject.keywordsPotassiumen_US
dc.citation.conferencelocationSan Francisco, California, United Statesen_US
dc.description.acknowledgementThis research is supported by the National Research Foundation, Singapore and Singapore Food Agency, under its Singapore Food Story R&D Programme (Theme 1: Sustainable Urban Food Production) Grant Call (SFS_RND-SUFP_001_03). The authors also acknowledge the support received through a) Ministry of Education (MOE) Academic Research Fund (AcRF) Tier 1 Grant RG119/21, b) COLE-EDB funding at COLE, NTU and c) research collaboration by Panasonic Factory Solutions Asia Pacific (PFSAP) and NTU, Singapore (RCA-80368).en_US
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