A deep learning perception framework for farm digital twins: weed species classification, semantic segmentation, and gradient-based visual interpretability
The emergence of Farm Digital Twins (Farm-DT) as a transformative paradigm in smart agriculture demands robust, real-time perception modules capable of continuous plant-level monitoring, predictive analytics, and automated decision support. A critical bottleneck in operationalising Farm-DTs is the absence of interpre...