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• Analysis of the latest innovations in AI and IoT for fire detection and prevention in agriculture and forestry. • Exploration of machine learning and computer vision techniques applied to fire monitoring. • Presentation of AI and IoT-based solutions for early fire detection and management. • Study of the role of sensors, wireless networks, and cloud platforms with AI and IoT for monitoring at-risk conditions. • Identification of the limits and challenges of adopting these technologies, particularly in terms of cost and reliability. Suggested avenues of research to optimize system efficiency and enhance resilience in the face of fire Fire detection and prevention in agriculture and forestry are major challenges for food security, ecosystem preservation, and natural resource management. Forest and agricultural fires have devastating impacts on the environment, the economy, and biodiversity. Faced with this problem, the adoption of innovative technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) offers new opportunities for proactive fire risk management. This review explores the joint use of AI and IoT for fire detection, monitoring, and prevention in the agricultural and forestry sectors. The foundations of AI in agriculture are examined first, with a particular focus on machine learning and massive data processing techniques for predicting fire risk. AI applications in fire detection are then analyzed, notably through predictive models and intelligent sensor systems. At the same time, the study highlights the principles of IoT for environmental monitoring, emphasizing the role of sensors, communication networks, and cloud platforms to collect, analyze, and transmit data in real-time. Finally, the combination of AI and IoT is explored as an integrated solution for preventing fires through continuous monitoring and rapid response capability. The benefits, as well as the challenges associated with implementing these technologies, are also discussed. This review aims to provide a detailed analysis of current research, identify existing gaps, and propose perspectives for the future of agricultural and forest fire management while highlighting the importance of a technological and sustainable approach to tackling the global challenges of climate change and food security.
Morchid et al. (Tue,) studied this question.