img Leseprobe Leseprobe

Environmental Monitoring Using Artificial Intelligence

Ali Kashif Bashir (Hrsg.), A. Suresh (Hrsg.), T. Devi (Hrsg.), N. Deepa (Hrsg.)

PDF
188,99

Wiley-Scrivener img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / ÷kologie

Beschreibung

Environmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future.

Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability.

From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you’re exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future.

Weitere Titel in dieser Kategorie
Cover Ecological Data
William K. Michener
Cover Bayesian Models
N. Thompson Hobbs

Kundenbewertungen

Schlagwörter

Environmental Monitoring Systems, Machine Learning in Agriculture, AI for Environmental Monitoring, Air Quality Monitoring, IoT for Smart Environmental Systems, AI Applications in Environmental Analysis, Sensor Technologies for Environmental Data, Smart Cities Waste Management, Sustainable Farming Techniques, Water Quality Monitoring, Biodiversity Conservation, Hydrological Investigation with Drones, Deep Learning for Emotion Detection, Sustainable Waste Management, Environmental Data Collection with Sensors