PROBES snapshot: River gauge reading extraction using object detection and generative AI

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dc.creatorVigneswaran, Kayathri
dc.creatorGarcia Andarcia, Mariangel
dc.creatorBenavente, Grecia
dc.creatorJimenez, Daniel Ricardo
dc.date2025-12
dc.date2026-02-05T09:10:49Z
dc.date2026-02-05T09:10:49Z
dc.date.accessioned2026-06-27T13:37:23Z
dc.descriptionThis one-page brief, developed by the Digital Transformation Accelerator (DTA) team at the Alliance of Bioversity International and CIAT, is based on a probe led by Kayathri Vigneswaran and Mariangel Garcia Andarcia, DTA AoW3 co-lead at IWMI. The probe explores whether computer vision and generative AI can be used to automatically extract water-level readings from photographs of river gauges. By combining object detection with multimodal AI models, the approach aims to provide a low-cost alternative to manual monitoring and expensive sensor-based systems. Implemented as an early-stage, safe-to-fail experiment, the probe focuses on learning how AI-powered image analysis performs under real-world field conditions and whether it can support more accessible, scalable, and community-driven hydrological monitoring. The brief synthesizes early insights to inform future development and potential integration into climate and water management decision-making systems.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/181210
dc.identifier.urihttp://hdl.handle.net/123456789/65176
dc.languageen
dc.rightsOpen Access
dc.sourceVigneswaran, K.; Garcia Andarcia, M.; Benavente, G.; Jimenez, D.R. (2025) PROBES snapshot: River gauge reading extraction using object detection and generative AI. 1 p.
dc.subjectclimate change adaptation
dc.subjectartificial intelligence
dc.subjectcomputer vision
dc.subjectwater level
dc.subjecthydrological monitoring
dc.titlePROBES snapshot: River gauge reading extraction using object detection and generative AI
dc.typeBrief

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