ARTIFICIAL INTELLIGENCE (AI) IN GREEN SCIENCES
This section delves into the intersection of AI and environmental sciences, examining how artificial intelligence can enhance green technologies, improve sustainability efforts, and foster innovative solutions to environmental challenges. AI is rapidly becoming a key tool for optimizing resource efficiency, monitoring ecosystems, predicting climate change, and advancing clean technologies. This section addresses the ethical implications, opportunities, and challenges of deploying AI in green sciences, from biodiversity conservation to energy transition and circular economy solutions.
In this direction, we will consider definitions and outlines covering the following SDGs goals:
Precision agriculture, air-pollution monitoring, renewable-energy optimisation, circular resources, climate modelling and biodiversity monitoring.
SDG 2Zero Hunger
SDG 3Good Health and Well-being
SDG 7Affordable and Clean Energy
SDG 9Industry, Innovation and Infrastructure
SDG 12Responsible Consumption and Production
SDG 13Climate Action
SDG 15Life on Land
Thematic alignment with the UN targets. SDG 17 connects the programme through international scientific cooperation.
Investigates how AI is used to enhance climate models, predict environmental changes, and support data-driven climate adaptation strategies.
Focuses on the role of AI in improving the efficiency of renewable energy systems, such as solar, wind, and hydropower, through predictive maintenance and energy management.
Examines how AI technologies support sustainable agriculture, including precision farming, soil health monitoring, and resource-efficient crop management.
Explores how AI is used to monitor ecosystems, track species populations, and protect biodiversity by analyzing environmental data and identifying threats to habitats.
Looks at the concept of Green AI, focusing on reducing the environmental footprint of AI technologies themselves while promoting their application in sustainability projects.
Investigates how AI supports the circular economy by optimizing recycling processes, reducing waste, and enabling resource-efficient production cycles.
Discusses AI’s role in detecting pollutants, managing waste, and improving environmental remediation processes to reduce the impact of industrial activities.
This section would provide a cutting-edge platform to discuss how AI is transforming green technologies, contributing to sustainability goals, and addressing some of the most pressing environmental challenges of our time.