The increasing urgency of global environmental challenges, such as climate change, biodiversity loss, and resource depletion, require integrated and innovative approaches that combine engineering and mathematical sciences. Modern advances in control theory, optimization, modeling, numerical methods, and data-driven techniques offer powerful tools to understand, predict, and manage complex environmental systems. This minisymposium aims to gather interdisciplinary experts from academia and industry to showcase cutting-edge research and foster collaboration towards sustainable solutions. We invite contributions addressing a wide range of topics, where engineering and mathematics can effectively contribute to environmental care and sustainability, including but not limited to: - Mathematical and computational modeling of environmental processes; - Optimization and control strategies for resource management; - Data-driven and machine learning approaches for environmental monitoring and forecasting; - Numerical methods for simulating ecological and physical systems; - Innovations in agritech and sustainable agriculture to enhance productivity and reduce environmental impact; - Conservation strategies supported by quantitative analysis; - Circular economy models promoting sustainable resource reuse and waste reduction; - Land protection and ecosystem restoration through advanced simulation and control techniques. This minisymposium provides an interactive forum for exchanging novel ideas, presenting breakthrough research, and discussing emerging challenges. We particularly encourage submissions that push the boundaries of current knowledge and propose innovative methodologies to address real-world environmental problems. By bringing together diverse perspectives, this event will foster vibrant discussions, encourage knowledge sharing, and promote partnerships aimed at accelerating the translation of scientific and technological advances into impactful environmental care practices.