AI-Enhanced Virtual LIG–IoT Sensor Framework for Microclimatic Stress Prediction in <i>Vasconcellea stipulata</i> (Toronche) from Southern Ecuador

Microclimatic stress strongly influences the ecological resilience of <i>Vasconcellea stipulata</i> (Toronche), yet current monitoring approaches rely on sparse measurements and lack real-time predictive capability. This work introduces an AI-enhanced virtual sensing framework based on laser-induced...

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Auteurs principaux:	Alan Cuenca-Sánchez, Fernando Pantoja-Suárez
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-03-01
Collection:	Sensors
Sujets:	artificial intelligence biodiversity conservation environmental monitoring graphene-based sensors internet of things laser-induced graphene
Accès en ligne:	https://www.mdpi.com/1424-8220/26/6/1766
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