Sub-Saharan Africa is facing a significant environmental challenge with heavy metal pollution in its soil, which threatens industrialization, agricultural productivity, and natural ecosystems. However, the region's lack of preparedness, limited awareness, and insufficient data on soil pollution have hindered effective solutions. Global Industrial Impacts of Heavy Metal Pollution in Sub-Saharan Africa, authored by experts Joan Nyika and Megersa Dinka, presents a compelling solution. Drawing on their expertise in hydro-biogeochemistry, water resource engineering, and bioremediation, the book delves into heavy metal chemistry, assessment methods, specific pollutants, and control approaches. It equips researchers, policymakers, and environmental regulators with the necessary knowledge and tools to address heavy metal pollution effectively. This groundbreaking book serves as a vital resource for understanding and combating heavy metal pollution in Sub-Saharan Africa. It provides valuable insights into the causes and consequences of soil contamination, offering practical guidance on assessment techniques, pollutant characterization, and strategies for control and prevention. By empowering scholars and decision-makers with this knowledge, the book sets the stage for sustainable development and environmental protection in the region. With its comprehensive approach and actionable solutions, this research fills a critical need. It emphasizes the importance of data-driven analysis and effective control measures, making it an indispensable tool for researchers, policymakers, and environmental regulators dedicated to safeguarding the region's ecosystems, industries, and agricultural systems from the detrimental effects of heavy metal pollution.

Persistent and non-degradable, heavy metals stand as pollutants with the potential for severe ecological repercussions when released into the environment. Municipal and industrial wastewater face a high risk of contamination by these hazardous substances, posing a formidable challenge to water treatment technologies. The imperative is clear: effective and affordable methods for effluent treatment and metal recovery are essential for meeting regulatory standards and unlocking the latent value of valuable metals within the waste. However, new methods of accomplishing this challenge are necessary for increasing the effectiveness in both cost and application Biosorption Processes for Heavy Metal Removal comprehensively explores the imperative to remove heavy metals from waste streams. It provides an insightful overview of biosorbents and biosorption technology, focusing on their underlying biosorption features. The compilation within this book comprises of a series of review articles delving into the current understanding of biosorption mechanisms and biochemistry, the efficacy of bacterial, fungal, and algal biomass, and practical considerations for biosorbent preparation and engineering. The physicochemical evaluations of biosorbents, process optimization, and factors influencing biosorption efficiency are also covered. Furthermore, the book explores biosorption applications for removing nutrients, organic pollutants, and metals in wastewater treatment across diverse contexts. Geared towards administrators, policymakers, consultants, industry professionals, academicians, scientists, researchers, and graduate and post-graduate students in environmental sciences and related fields, this book serves as their comprehensive reference.

Rampant deforestation, rising carbon emissions, and more unprecedented threats are creating chaos and turmoil for the environment. The delicate balance between nature and humanity seems to waver on the brink of collapse. Climate change exacerbates standard occurrences of natural disasters, and endangers countless species. Amid these daunting challenges, the need for comprehensive research and actionable solutions has never been greater. Global Challenges for the Environment and Climate Change draws upon the latest research and empirical findings, and offers a roadmap for navigating the complexities of our interconnected world. Exploring topics such as climate change, sustainable consumption, and global governance equips readers with the knowledge and insights needed to effect meaningful change.

In today's rapidly evolving world, technology has permeated every aspect of our lives, and the culinary world is no exception.Impactful Technologies Transforming the Food Industry delves into the revolutionary role of technology in transforming the way we produce, prepare, and experience food. From restaurant operations to the dining experience and the rise of food delivery services, this book explores the profound impact of technology on the food industry. Impactful Technologies Transforming the Food Industry provides an in-depth exploration of the objectives, motivations, and consequences associated with the adoption of technology in the food industry through meticulous analysis and real-world examples. From advanced ordering systems and kitchen automation to virtual reality and interactive dining experiences, readers gain valuable insights into how technology has revolutionized the way food businesses operate and how it has reshaped the relationship between consumers and food. This book also addresses the emergence of food delivery services, the ethical considerations of technology in the industry, and the potential future trajectory of food tech. It is an essential resource for food industry professionals, students, policymakers, and consumers interested in the intersection of gastronomy and technology.

The emergence of a plethora of water contaminants as a result of industrialization has introduced complexity to water treatment processes. Such complexity may not be easily resolved using deterministic approaches. Artificial intelligence (AI) has found relevance and applications in almost all sectors and academic disciplines, including water treatment and management. AI provides dependable solutions in the areas of optimization, suspect screening or forensics, classification, regression, and forecasting, all of which are relevant for water research and management. Artificial Intelligence Applications in Water Treatment and Water Resource Management explores the different AI techniques and their applications in wastewater treatment and water management. The book also considers the benefits, challenges, and opportunities for future research. Covering key topics such as water wastage, irrigation, and energy consumption, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Machine Learning and Deep Learning for Smart Agriculture and Applications delves into the captivating realm of artificial intelligence and its pivotal role in transforming the landscape of modern agriculture. With a focus on precision agriculture, digital farming, and emerging concepts, this book illuminates the significance of sustainable food production and resource management in the face of evolving digital hardware and software technologies. Geospatial technology, robotics, the Internet of Things (IoT), and data analytics converge with machine learning and big data to unlock new possibilities in agricultural management. This book explores the synergy between these disciplines, offering cutting-edge insights into data-intensive processes within operational agricultural environments. From automated irrigation systems and agricultural drones for field analysis to crop monitoring and precision agriculture, the applications of machine learning are far-reaching. Animal identification and health monitoring also benefit from these advanced techniques. With practical case studies on vegetable and fruit leaf disease detection, drone-based agriculture, and the impact of pesticides on plants, this book provides a comprehensive understanding of the applications of machine learning and deep learning in smart agriculture. It also examines various modeling techniques employed in this field and showcases how artificial intelligence can revolutionize plant disease detection. This book serves as a comprehensive guide for researchers, practitioners, and students seeking to harness the power of AI in transforming the agricultural landscape.