Artificial Intelligence And Advanced Analytics For Food Security

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Artificial Intelligence And Advanced Analytics For Food Security
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Author : Chandrasekar Vuppalapati
language : en
Publisher: CRC Press
Release Date : 2023-07-17
Artificial Intelligence And Advanced Analytics For Food Security written by Chandrasekar Vuppalapati and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-17 with Technology & Engineering categories.
Climate change, increasing population, food-versus-fuel economics, pandemics, etc. pose a threat to food security to unprecedented levels. It has fallen upon the practitioners of agriculture and technologists of the world to innovate and become more productive to address the multi-pronged food security challenges. Agricultural innovation is key to managing food security concerns. The infusion of data science, artificial intelligence (AI), advanced analytics, satellites data, geospatial data, climatology, sensor technologies, and climate modeling with traditional agricultural practices such as soil engineering, fertilizers use, and agronomy are some of the best ways to achieve this. Data science helps farmers to unravel patterns in fertilizer pricing, equipment usage, transportation and storage costs, yield per hectare, and weather trends to better plan and spend resources. AI enables farmers to learn from fellow farmers to apply best techniques that are transferred learning from AI to improve agricultural productivity and to achieve financial sustainability. Sensor technologies play an important role in getting real-time farm field data and provide feedback loops to improve overall agricultural practices and can yield huge productivity gains. Advanced Analytics modeling is essential software technique that codifies farmers’ tacit knowledge such as better seed per soil, better feed for dairy cattle breed, or production practices to match weather pattern that was acquired over years of their hard work to share with worldwide farmers to improve overall production efficiencies, the best antidote to food security issue. In addition to the paradigm shift, economic sustainability of small farms is a major enabler of food security. The book reviews all these technological advances and proposes macroeconomic pricing models that data mines macroeconomic signals and the influence of global economic trends on small farm sustainability to provide actionable insights to farmers to avert any financial disasters due to recurrent economic crises.
Harnessing Big Data In Food Safety
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Author : Jeffrey Farber
language : en
Publisher: Springer Nature
Release Date : 2022-11-23
Harnessing Big Data In Food Safety written by Jeffrey Farber and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-23 with Technology & Engineering categories.
Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety studies. Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety. Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governance and data related technical challenges. Furthermore, this volume discusses how the application of machine-learning has successfully improved the speed and/or accuracy of many processes in the food supply chain, and also discusses some of the inherent challenges. Included in this volume as well is a practical example of the digital transformation that happened in Dubai, with a particular emphasis on how data is enabling better decision-making in food safety. To complete this volume, researchers discuss how although big data is and will continue to be a major disruptor in the area of food safety, it also raises some important questions with regards to issues such as security/privacy, data control and data governance, all of which must be carefully considered by governments and law makers.
Smart Food Safety
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-08-04
Smart Food Safety written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-04 with Technology & Engineering categories.
Smart food safety series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. - Provides the latest information on food research - Offers outstanding and original reviews on a range of food research topics - Serves as an indispensable reference for researchers and students alike
Engineering Solutions For Sustainable Food And Dairy Production
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Author : Sankar Chandra Deka
language : en
Publisher: Springer Nature
Release Date : 2025-01-31
Engineering Solutions For Sustainable Food And Dairy Production written by Sankar Chandra Deka and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Technology & Engineering categories.
This book offers a comprehensive exploration of food and dairy process engineering, catering to a diverse audience ranging from students and budding engineers to seasoned professionals in the food industry. It delves into a wide array of crucial topics, each meticulously crafted to provide valuable insights into the complex world of food and dairy processing. Engineering Solutions for Sustainable Food and Dairy Production begins by addressing the paramount concern of safety in the food industry, tackling challenges and opportunities in ensuring the quality and integrity of food products. The book promotes an understanding of the sources of dairy products and the practices involved in dairy farming, which are pivotal for producing high-quality dairy goods. Raw material management and quality control techniques are covered in full, as are fluid mechanics and heat transfer and pasteurization techniques. Fermentation processes are explored in-depth, showcasing their significance in the creation of various food products. Separation technologies such as filtration and centrifugation techniques are studied and evaporation and concentration techniques are discussed which enables the production of condensed and powdered items. A full chapter is dedicated to food and dairy freezing and cooling techniques, focusing on maintaining the correct temperature and various freezing and cooling methods. For researchers in search of the most updated technologies and techniques for sustainable food and dairy processing, this text functions as a singular source
Food Safety Sensors
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Author : Serena Vaughn
language : en
Publisher: Publifye AS
Release Date : 2025-03-11
Food Safety Sensors written by Serena Vaughn and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Technology & Engineering categories.
Food Safety Sensors explores the revolutionary role of sensor technology in modern food safety, offering real-time monitoring solutions to detect contamination and prevent spoilage throughout the food supply chain. This book highlights how these sensors can proactively minimize foodborne illnesses and reduce food waste. For instance, sensors can identify volatile organic compounds (VOCs) to monitor the freshness of produce, meat, and dairy products. Readers will understand not only how these sensors function but also how they integrate into larger systems. The book begins by introducing the fundamental principles behind food safety sensors, detailing different types like electrochemical, optical, and gas sensors. It then progresses into specific applications, such as identifying microbial contamination and assessing adulteration from pesticides. Ultimately, the book illustrates how these sensors contribute to smart packaging, supply chain monitoring, and data analytics, driving economic benefits for producers, retailers, and consumers alike.
Global Food Policy Report 2023 Rethinking Food Crisis Responses
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Author : International Food Policy Research Institute (IFPRI)
language : en
Publisher: Intl Food Policy Res Inst
Release Date : 2023-04-13
Global Food Policy Report 2023 Rethinking Food Crisis Responses written by International Food Policy Research Institute (IFPRI) and has been published by Intl Food Policy Res Inst this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Political Science categories.
This decade has been marked by multiple, often overlapping, crises. The COVID-19 pandemic, natural disasters, and the ongoing war in Ukraine have all threatened the fabric of our global food systems. But opportunities can be found amid crises, and the world’s food systems have demonstrated surprising resilience. With new evidence on what works, now is the time to rethink how we address food crises. Better prediction, preparation, and resilience building can make future crises less common and less devastating, and improved responses can contribute to greater food security, better nutrition, and sustainable livelihoods.
Artificial Intelligence And Data Science For Sustainability Applications And Methods
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Author : Syafrudin, Muhammad
language : en
Publisher: IGI Global
Release Date : 2025-02-07
Artificial Intelligence And Data Science For Sustainability Applications And Methods written by Syafrudin, Muhammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-07 with Computers categories.
The integration of artificial intelligence (AI) and data science (DS) into sustainability efforts is increasingly crucial as the world faces environmental and resource challenges. By leveraging advanced AI and DS techniques, we can create innovative solutions for sectors like energy, agriculture, and waste management, promoting long-term sustainability. These technologies have the potential to optimize processes, reduce environmental footprints, and support smarter decision-making across industries. Ultimately, AI and DS are key to advancing both the efficiency and impact of sustainability efforts, contributing to a more sustainable future for society at large. Artificial Intelligence and Data Science for Sustainability: Applications and Methods explores the application of AI and DS techniques and methodologies in addressing various sustainability challenges. It brings together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains. Covering topics such as structural optimization, drone imagery, and development financing, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.
Data Analytics And Artificial Intelligence For Earth Resource Management
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Author : Deepak Kumar
language : en
Publisher: Elsevier
Release Date : 2024-11-13
Data Analytics And Artificial Intelligence For Earth Resource Management written by Deepak Kumar and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Science categories.
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
City Food Security
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Author : Yves Earhart
language : en
Publisher: Publifye AS
Release Date : 2025-05-01
City Food Security written by Yves Earhart and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-01 with Science categories.
City Food Security explores the critical issue of how to sustainably feed the world's growing urban populations. It examines the vulnerabilities within current city food systems, particularly in the face of climate change and increasing urbanization. The book highlights the necessity of integrating local food production, resilient food supply chains, and equitable food access to ensure a secure food future. Did you know that most of the world's population lives in cities, making urban centers especially susceptible to disruptions in food supply? The book emphasizes a multi-faceted approach, urging collaborative efforts to tackle these challenges. The book journeys through urban agriculture's potential, dissects the complexities of food supply chains, and confronts sustainability challenges like food waste and water scarcity. It begins by setting the context of urban food systems, moves to examining the potential and limitations of urban agriculture, then investigates the vulnerabilities of urban food supply chains, and finally confronts the sustainability challenges associated with urban food systems. These challenges include reducing food waste through improved storage and distribution, promoting water-efficient agricultural practices, and transitioning to low-carbon transportation systems.
Transforming Agriculture Through Artificial Intelligence For Sustainable Food Systems
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Author : Priyanka Lal
language : en
Publisher: Springer Nature
Release Date : 2025-05-14
Transforming Agriculture Through Artificial Intelligence For Sustainable Food Systems written by Priyanka Lal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Business & Economics categories.
This book aims to explore the groundbreaking intersection of artificial intelligence (AI) and agriculture, focusing on how innovative technologies can be harnessed to create sustainable and resilient food systems. As global challenges such as climate change, population growth, and resource scarcity intensify, this book seeks to provide a comprehensive guide to leveraging AI for optimizing agricultural practices, enhancing productivity, and promoting environmental stewardship. The final chapter summarizes key findings, highlighting the overarching themes, and providing insights into the future of AI in agriculture. Emphasis is placed on the importance of collaboration, ethical considerations, and responsible deployment of AI technologies to ensure a sustainable and equitable food future. This book is intended for a diverse audience, including researchers, academics, policymakers, agri-tech professionals, farmers, and students interested in the future of agriculture, sustainability, and emerging technologies.