Call for Chapters: Integrating Agriculture, Green Marketing Strategies, and Artificial Intelligence

Editors

Jabulani Garwi, University of the Free State, South Africa
Mufaro Dzingirai, Midlands State University, Zimbabwe
Reason Masengu, Middle East College, Oman

Call for Chapters

Proposals Submission Deadline: May 19, 2024
Full Chapters Due: July 21, 2024
Submission Date: July 21, 2024

Introduction

In an era marked by unprecedented environmental challenges and a growing social consciousness, the imperative for sustainable development has never been more pressing. This book represents an exploration into the intersection of agriculture, green marketing strategies, and artificial intelligence (AI). It aims to unravel the intricate connections between these fields within the context of fostering a more harmonious relationship between humanity and the planet. Drawing on multidisciplinary perspectives from experts in agriculture, marketing, AI, ethics, and sustainability, this book delves deep into the synergistic potential of integrating these fields. By examining the complex interactions between agricultural practices, marketing strategies, and the utilization of artificial intelligence, the book aims to uncover innovative approaches to address pressing environmental and social challenges. Through comprehensive analysis, case studies, and practical examples, the text inspires transformative change in how sustainable practices are conceptualized and implemented. By fostering collaboration and integration across diverse sectors, it can pave the way for a more resilient, equitable, and environmentally sustainable future.

Objective

The primary objective of this book is to provide a comprehensive examination of the intricate relationships between agriculture, green marketing strategies, and artificial intelligence within the context of sustainability. The aim is to thoroughly explore these interconnected domains, uncovering synergies, identifying challenges, and proposing innovative solutions that can pave the way towards a more sustainable future. This book seeks to offer readers a nuanced understanding of how these three pillars of sustainability intersect and interact with one another. By investigating the complexities and dynamics inherent in agriculture, marketing, and artificial intelligence, it aims to illuminate the potential for integrated approaches to address pressing environmental and social challenges. Through rigorous analysis, case studies, and practical examples, the book aims to equip readers with the knowledge and tools necessary to navigate the complexities of sustainability.

Target Audience

The target audience for this book is broad and inclusive, reflecting the multidisciplinary essence of sustainability and the interconnectedness of its various domains. It is crafted to resonate with a diverse array of stakeholders deeply engaged in sustainability, including researchers, policymakers, practitioners, educators, students, NGOs, businesses, and community organizations. Researchers and academics will appreciate the book's in-depth analysis of the intersections between agriculture, marketing, and the integration of artificial intelligence, alongside its exploration of cutting-edge research and best practices in the field. Policymakers and governmental officials tasked with shaping policies related to agriculture, environmental conservation, and consumer protection will find valuable insights into policy implications and recommendations for advancing sustainability within the context of AI integration. Practitioners and professionals operating in agriculture, marketing, sustainability consulting, corporate social responsibility, and related sectors will discover practical guidance and tools for implementing sustainable solutions within their respective domains, leveraging the potential of artificial intelligence. Educators and students specializing in sustainability, environmental science, agriculture, marketing, ethics, and related disciplines will gain a deeper comprehension of fundamental concepts and ongoing debates within the field, with a specific focus on AI integration. Non-governmental organizations, advocacy groups, and community organizations dedicated to promoting sustainable practices and ethical development will find inspiration and direction for their advocacy endeavors, with insights into leveraging AI for positive social and environmental impact. Businesses and entrepreneurs aspiring to integrate sustainability principles into their operations and marketing strategies will encounter actionable strategies for meeting consumer demand, enhancing brand reputation, and contributing to positive social and environmental impact through the integration of artificial intelligence. By targeting this diverse audience, this book aims to stimulate dialogue, foster collaboration, and spark collective action toward a more sustainable and equitable future, leveraging the potential of artificial intelligence to enhance sustainability efforts globally.

Recommended Topics

The topics encompass a wide range, including but not limited to: • The Evolution of Sustainable Agriculture: Historical Perspectives and Contemporary Challenges - Explore how sustainable agriculture has evolved over time and examine current challenges and innovations, including the integration of artificial intelligence for sustainable practices. • Green Marketing Strategies: Principles, Practices, and Case Studies - Analyze green marketing strategies in the context of sustainable agriculture, with a focus on how artificial intelligence can enhance marketing efforts for sustainable products. • Ethics in Agriculture: Balancing Profitability with Social and Environmental Responsibility - Discuss ethical considerations in agricultural practices, including the ethical implications of AI adoption in farming and its impact on social and environmental responsibility. • Sustainable Food Systems: From Farm to Fork - Examine the holistic approach to sustainable food systems, integrating artificial intelligence technologies across the entire supply chain to promote efficiency and sustainability. • Consumer Behavior and Sustainable Consumption Patterns - Investigate consumer behavior and how AI-driven marketing strategies can influence sustainable consumption patterns, promoting environmentally friendly choices. • Organic Farming: Benefits, Challenges, and Future Prospects - Evaluate the role of artificial intelligence in organic farming practices, addressing challenges and exploring opportunities for enhancing sustainability. • Climate Change and Agriculture: Mitigation and Adaptation Strategies - Explore AI-driven solutions for mitigating and adapting to climate change in agriculture, such as precision farming techniques and climate-resilient crop varieties. • Sustainable Supply Chain Management: Ensuring Ethical Sourcing and Production - Discuss how artificial intelligence can optimize supply chain management in agriculture, ensuring ethical sourcing practices and sustainable production methods. • Agroecology: Integrating Ecological Principles into Agriculture - Investigate the integration of artificial intelligence and agroecological principles to enhance sustainability and biodiversity conservation in agricultural systems. • Circular Economy Approaches in Agriculture: Reducing Waste and Maximizing Efficiency - Explore AI-driven circular economy approaches in agriculture, focusing on reducing waste, optimizing resource use, and maximizing efficiency throughout the production process. • Corporate Social Responsibility in the Agriculture Sector - Examine the role of artificial intelligence in enhancing corporate social responsibility initiatives within the agriculture sector, promoting ethical practices and social impact. • Eco-labeling and Certification Schemes: Enhancing Transparency and Trust in the Market - Discuss how artificial intelligence can improve eco-labeling and certification schemes, enhancing transparency and trust in sustainable agricultural products. • Sustainable Livelihoods: Empowering Farmers and Rural Communities - Explore how AI technologies can empower farmers and rural communities, fostering sustainable livelihoods and economic development. • Water Management in Agriculture: Sustainable Practices for Conservation and Efficiency - Investigate AI-driven solutions for sustainable water management in agriculture, promoting conservation and efficiency in irrigation practices. • Biodiversity Conservation in Agricultural Landscapes - Examine how artificial intelligence can contribute to biodiversity conservation efforts in agricultural landscapes, balancing productivity with ecosystem health. • Green Packaging and Sustainable Product Design - Discuss AI-driven innovations in green packaging and sustainable product design within the agricultural sector, minimizing environmental impact and promoting sustainability. • Fair Trade and Ethical Consumerism: Empowering Producers and Promoting Social Justice - Explore how artificial intelligence can support fair trade practices and ethical consumerism in the agricultural industry, empowering producers and promoting social justice. • Innovative Technologies for Sustainable Agriculture - Highlight cutting-edge AI technologies for sustainable agriculture, showcasing innovations in precision farming, crop monitoring, and pest management. • Community Supported Agriculture (CSA) Models: Engaging Consumers and Building Local Resilience - Discuss AI-driven approaches to community supported agriculture models, engaging consumers and building local resilience through direct producer-consumer relationships. • Sustainable Tourism and Agritourism: Promoting Rural Development and Environmental Conservation - Explore the role of artificial intelligence in promoting sustainable tourism and agritourism, contributing to rural development and environmental conservation efforts. • Gender Perspectives in Sustainable Agriculture and Development - Analyze gender perspectives in AI-driven sustainable agriculture initiatives, addressing gender disparities and promoting inclusivity in development programs. • Sustainable Urban Agriculture: Addressing Food Security and Urbanization Challenges - Discuss AI-driven solutions for sustainable urban agriculture, addressing food security and mitigating the challenges of urbanization through innovative farming practices. • Indigenous Knowledge Systems and Sustainable Agriculture Practices - Explore the integration of indigenous knowledge systems with AI technologies in sustainable agriculture practices, fostering cultural preservation and environmental stewardship. • Carbon Farming: Harnessing Agriculture to Combat Climate Change - Examine AI-driven carbon farming techniques for sequestering carbon in agricultural soils, mitigating climate change impacts and promoting sustainable land management. • Policy Approaches to Promoting Sustainable Agriculture and Ethical Development - Investigate policy frameworks for promoting AI-driven sustainable agriculture and ethical development, addressing regulatory challenges and fostering collaboration between stakeholders.

Submission Procedure

Researchers and practitioners are invited to submit on or before May 19, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 2, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by July 21, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Integrating Agriculture, Green Marketing Strategies, and AI. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 19, 2024: Proposal Submission Deadline
June 2, 2024: Notification of Acceptance
July 21, 2024: Full Chapter Submission
August 25, 2024: Review Results Returned
September 22, 2024: Final Acceptance Notification
September 29, 2024: Final Chapter Submission



Inquiries

Jabulani Garwi University of the Free State, Bloemfontein, South Africa jabulanig400@gmail.com Mufaro Dzingirai Midlands State University, Gweru, Zimbabwe mufaro.dzingirai@gmail.com Reason Masengu Middle East College, Muscat, Oman masengumasengu@yahoo.com

Classifications


Business and Management; Computer Science and Information Technology; Education; Environmental, Agricultural, and Physical Sciences; Social Sciences and Humanities
Back to Call for Papers List