Speakers - AFHWC2025

Abstract

The integration of radar, remote sensing, and communication technologies, combined with artificial intelligence tools, represents a significant advance in the resilience, efficiency, and sustainability of precision agricultural systems. By providing accurate, real-time data on the agricultural ecosystem, these technologies improve decision-making, optimize the use of energy and water resources, predict and combat epidemics and natural disasters, and strengthen the capacity of communities to cope with environmental challenges. This is the context of our study, which involves developing a radar-communication system for monitoring crops, agricultural epidemics, managing water and energy resources, and improving resilience to natural disasters such as floods and drought. This enables the implementation of proactive management strategies. Thus, farmers

can reduce their vulnerability and optimize their agricultural practices, minimizing the impact of climate change and natural disasters on crop yields. The system consists of a RadCom radar, a network of RCSF wireless sensors (temperature, humidity, carbon dioxide, ground sensors to detect earth movements, cameras for 2D and 3D mapping), and a mobile robot for ground exploration and intervention in the event of disasters, losses, or any other on-site action. The platform is connected to a remote server allowing data analysis and decision-making, as well as remote mobile or web service connection by users. This project has promising prospects for sustainable development and agriculture, particularly in crop monitoring, water resource and irrigation management, early detection of epidemics and pests, and environmental impact reduction. These new strategies thus promote more resilient agricultural systems, guaranteeing sustainability and food security in the face of climate change.