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A Smart Framework Towards Digital Farming and Field Robots for Sustainable Agriculture

Evripidis P. Kechagias, Spyridon Evangelatos, Sotiris P. Gayialis, Nikolaos A. Panayiotou, Georgios Th. Papadopoulos, Dimitrios Argyropoulos

发表年份
2025
引用次数
1

摘要

Progress in robots alongside artificial intelligence (AI) and augmented reality (AR) enables transformative solutions to meet current production challenges in agriculture. This paper demonstrates a technological framework that uses modular components to advance agricultural execution as well as working safety while promoting green agricultural practices. Through the proposed framework, robotic systems can benefit from data acquisition and AI guidance as well as direct AR capabilities to execute essential agricultural operations such as crop monitoring, livestock farm management, tree pruning, flower thinning, mechanical weeding, and crop harvesting. Additional implementation components consisting of virtual reality (VR) environments with gamification features together with expandable AI (xAI)-powered decision assistance tools help both to train users and widen technology acceptance. The proposed approach demonstrates flexible operation alongside expansion capabilities that support the implementation of socially conscious agricultural practices.

关键词

Transformative learningRobotField (mathematics)AgricultureModular designVirtual realityAugmented realitySustainable agriculture

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