Emerging Fiber-Optic Sensing Technologies for Climate-Resilient Smart Agriculture
Abstract
Climate variability exacerbates spatiotemporal uncertainty in soil moisture, plant water status and micro climate and pose a problem in the scheduling of irrigation and maximization of inputs at the farm scale. Although solutions using IoT and vision offer useful decision support signals, they are limited with regards to spatial continuity, electromagnetic interference, and long-term stability. In this paper, the authors review emerging fiber-optic sensing technologies participants fiber Bragg gratings (FBGs), distributed temperature sensing (DTS), distributed acoustic sensing (DAS), and interferometric schemes and suggest to combine edge–cloud analytics with them to create climateresilient smart agriculture. We combine the experience acquired with smart irrigation, greenhouse AI, and optical/photogrammetric monitoring and position fiber sensing into a virtuous cycle of reliable high-granularity measurements. A reference architecture is suggested to merge fiber, environmental, and vision signals providing resilient control in stressful climate conditions, coupled with region knowledge.