4 books on AI for Ecology [PDF]

Updated: May 11, 2024

Books on AI for Ecology offer startups a valuable resource for harnessing the power of artificial intelligence to address ecological challenges and environmental monitoring. These resources provide a comprehensive foundation, covering various aspects of AI's role in ecological research, such as image analysis for species identification, predictive modeling for environmental change, and data integration for ecosystem management. They delve into advanced techniques like deep learning, computer vision, and spatial analysis, emphasizing the importance of AI-driven solutions in improving ecological monitoring and conservation efforts. Moreover, these books often include practical examples, case studies, and best practices, enabling startups to learn from successful AI applications in ecology.

1. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration
2023 by Fields, Ziska



The transformation of creativity into innovation that generates tangible value and fosters strategic action is imperative in today's landscape. Commonly, innovation is linked with Silicon Valley, substantial research and development investments, and commercialization endeavors that predominantly benefit a select portion of the global populace. However, relying solely on this limited fraction of the population to address complex environmental issues is insufficient. To effectively combat such challenges, we must embrace green creativity and eco-innovation, making eco-friendly products and services accessible and affordable to a broader audience. "Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration" underscores the significance of green creativity, eco-innovation, and collaborative efforts in forging a sustainable world. Leveraging existing literature and collective expertise in management, this book not only expands our understanding but also lays the groundwork for further exploration in this dynamic field. Its coverage spans eco-leadership, green marketing, social responsibility communication, making it an essential and timely resource for government officials, decision-makers, business leaders, students, educators, librarians, researchers, and academics alike.
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2. Our Planet Powered by AI: How We Use Artificial Intelligence to Create a Sustainable Future for Humanity
2023 by Mark Minevich



"Our Planet Powered by AI" is a practical guide that delves into the implementation of ethical AI technologies throughout your organization, offering valuable insights and forecasts from prominent industry figures. Mark Minevich, an AI strategist and pioneer, provides a compelling and actionable discussion on how to integrate groundbreaking artificial intelligence solutions at every organizational level. This approach enables your company to establish sustainable, competitive advantages by introducing unprecedented levels of adaptability, resilience, and innovation. Drawing from real-world case studies featuring renowned industry leaders, the book explores strategic archetypes, technological frameworks, and cultures of sustainability necessary for a successful digital transformation. It also delves into the potential of AI to drive new business strategies, models, and innovation ecosystems, emphasizing the importance of ethical AI implementations that prioritize transparency, fairness, privacy, and reliability for societal and organizational benefits. For leaders, executives, and managers seeking to position their companies at the forefront of technological advancement and fierce competition, "Our Planet Powered by AI" is a valuable resource for achieving growth and dynamism.
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3. Artificial Intelligence for Knowledge Management, Energy, and Sustainability
2022 by Eunika Mercier-Laurent, Gülgün Kayakutlu



This book comprises an array of extended papers that were originally presented at the 9th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management (AI4KM 2021) and the 1st International Workshop on Energy and Sustainability (AIES 2021), collectively known as AI4KMES 2021. These workshops were held in conjunction with IJCAI 2021 in August 2021. Although originally planned for Montréal, Canada, the conference transitioned to an online format due to the COVID-19 pandemic. The book includes 15 meticulously reviewed and selected papers out of 17 submissions, all of which address the intricate challenges in knowledge management and sustainability. These papers focus on the methodological, technical, and organizational aspects of applying AI to tackle complex issues in these domains, aligning with the overarching theme of AI for Knowledge Management, Energy, and Sustainable Futures for the year.
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4. Artificial Intelligence and Conservation
2019 by Fei Fang, Milind Tambe, Bistra Dilkina, Andrew J. Plumptre



Amid the growing public fascination with artificial intelligence (AI), there is a parallel surge in curiosity regarding the positive impacts AI can bring to society. "Artificial Intelligence and Conservation" directs its focus towards the cutting-edge AI research that contributes to the preservation of wildlife, forests, coral reefs, rivers, and various other natural resources. This book illuminates the collaborative efforts of researchers spanning computer science, ecology, economics, and psychology in addressing the objectives outlined in the United Nations' 2030 Agenda for Sustainable Development. Accessible to both conservation professionals and AI researchers, it provides an encompassing view of the field, illustrating how AI is being utilized to decipher wildlife poaching patterns, elevate patrol effectiveness, and addresses real-world conservation challenges. Additionally, it delves into other critical conservation endeavors, encompassing the safeguarding of natural resources, ecosystem monitoring, and bio-invasion management, underpinned by game theory, machine learning, and optimization.
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