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Author: Chandrasekar Vuppalapati
Publisher: CRC Press
ISBN: 1000919153
Category : Technology & Engineering
Languages : en
Pages : 548
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Book Description
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.
Author: Chandrasekar Vuppalapati
Publisher: CRC Press
ISBN: 1000919153
Category : Technology & Engineering
Languages : en
Pages : 548
Get Book Here
Book Description
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.
Author: Tony Boobier
Publisher: John Wiley & Sons
ISBN: 1119390931
Category : Computers
Languages : en
Pages : 314
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Book Description
Be prepared for the arrival of automated decision making Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the expectation that it’ll be considered ‘mainstream’ in the next 5 – 10 years. It’ll change the way we as individuals interact with data and systems—and the way we run our businesses. Cognitive Analysis and AI prepares business users for the era of cognitive analytics / artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk management). Shows you how users interact with the system in natural language Explains how cognitive analysis/AI can source ‘big data’ Provides a roadmap for implementation Gets you up to speed now before you get left behind If you’re a decision maker or budget holder within the corporate context, this invaluable book helps you gain an advantage from the deployment of cognitive analytics tools.
Author: Poonam Tanwar
Publisher: Emerald Group Publishing
ISBN: 1839090995
Category : Business & Economics
Languages : en
Pages : 308
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Book Description
Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.
Author: Arvind Dagur
Publisher: CRC Press
ISBN: 1040115985
Category : Computers
Languages : en
Pages : 590
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Book Description
This book contains the proceedings of a non-profit conference with the objective of providing a platform for academicians, researchers, scholars and students from various institutions, universities and industries in India and abroad to exchange their research and innovative ideas in the field of Artificial Intelligence and information technologies. It begins with exploring the research and innovation in the field of Artificial Intelligence and information technologies, including secure transaction, monitoring, real time assistance and security for advanced stage learners, researchers and academicians has been presented. It goes on to cover: Broad knowledge and research trends about Artificial Intelligence and information technologies and their role in today’s digital era Depiction of system model and architecture for clear picture of Artificial Intelligence in real life Discussion on the role of Artificial Intelligence in various real-life problems such as banking, healthcare, navigation, communication and security Explanation of the challenges and opportunities in Artificial Intelligence-based healthcare, education, banking and related industries Recent information technologies and challenges in this new epoch This book will be beneficial to researchers, academicians, undergraduate students, postgraduate students, research scholars, professionals, technologists and entrepreneurs.
Author: Monika Thakur
Publisher: Springer Nature
ISBN: 3031460464
Category : Technology & Engineering
Languages : en
Pages : 441
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Book Description
Sustainable Food System has cutting-edge green & circular Technologies, food Safety & diversity that aims to provide quality and safe foods in an environmentally conscious and sustainable way. The book addresses both the theoretical and applied aspects of sustainable food diverse food systems. This concept of Sustainable Food System under SDG Goals is such a vast concept that, it has been impossible to highlight all the concepts in one volume. Therefore, the Editor have compiled this voluminous, comprehensive and compendious approach as balanced and organized structure of work as: Sustainable Food System Volume I & II. A Sustainable Food System (SFS) is a comprehensive food system and Volume II targets the Novel Sustainable Green Food Processing Technologies, Circular Strategies for Recovery & Valorization and the overall sustainable techniques for Food Safety & Food Diversity. The book has a very comprehensive outline, divided in 3 major sections and further 20 different chapters. All chapters in different sections will be written by key scientists with diverse backgrounds in either industry / R&D / academia, and will provide an update on emerging ideas and sustainable technologies as well as vision for the future. The Section 5: Novel Sustainable Green Food Processing Technologies primarily focusing on the novel green different food processing technologies in different food categories. The Section 6: Circular Strategies for Recovery & Valorization, deals with different circular strategies for valorization of the food products. The Section 7: Sustainable Techniques for Food Safety & Food Diversity, will cover the food safety trends and food diversities nationally & internationally.
Author: Ali Demirci
Publisher: Springer Nature
ISBN: 3030426602
Category : Technology & Engineering
Languages : en
Pages : 754
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Book Description
Food Safety Engineering is the first reference work to provide up-to-date coverage of the advanced technologies and strategies for the engineering of safe foods. Researchers, laboratory staff and food industry professionals with an interest in food engineering safety will find a singular source containing all of the needed information required to understand this rapidly advancing topic. The text lays a solid foundation for solving microbial food safety problems, developing advanced thermal and non-thermal technologies, designing food safety preventive control processes and sustainable operation of the food safety preventive control processes. The first section of chapters presents a comprehensive overview of food microbiology from foodborne pathogens to detection methods. The next section focuses on preventative practices, detailing all of the major manufacturing processes assuring the safety of foods including Good Manufacturing Practices (GMP), Hazard Analysis and Critical Control Points (HACCP), Hazard Analysis and Risk-Based Preventive Controls (HARPC), food traceability, and recalls. Further sections provide insights into plant layout and equipment design, and maintenance. Modeling and process design are covered in depth. Conventional and novel preventive controls for food safety include the current and emerging food processing technologies. Further sections focus on such important aspects as aseptic packaging and post-packaging technologies. With its comprehensive scope of up-to-date technologies and manufacturing processes, this is a useful and first-of-its kind text for the next generation food safety engineering professionals.
Author: Deepak Kumar
Publisher: Elsevier
ISBN: 0443235961
Category : Science
Languages : en
Pages : 310
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Book Description
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
Author: M. A. Jabbar
Publisher: Springer Nature
ISBN: 3031554868
Category :
Languages : en
Pages : 287
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Book Description
Author: Abhishek Raj
Publisher: John Wiley & Sons
ISBN: 139423113X
Category : Technology & Engineering
Languages : en
Pages : 580
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Book Description
This book offers comprehensive insights into the management of agroforestry for livelihood security and sustainable development in the tropics, addressing ecological interactions, productivity, and the monetization of carbon credits, while also outlining a future roadmap and policy challenges. Agroforestry is a brilliant land use farming practice that covers 1.6 billion hectares (78 percent in the tropics and 22 percent in the temperate regions) to enhance plant diversification, productivity, and livelihood across generations, maintaining eco-restoration. It ensures socioeconomic upliftment and a standard livelihood for people along with many ecosystem services for sustainable development under resilient climates, which are today’s key topics popularized among policy makers, stakeholders, scientists, ecologists, and climate supporters in the tropical world. However, more than 75 percent of the world’s poor directly depend on natural resources for their livelihoods. Adopting climate resilient agroforestry not only maximizes productivity and farmers’ socioeconomic status but also mitigates climate change issues through carbon sequestrations for better carbon management in the tropics. This book addresses agroforestry management for livelihood security and sustainable development in the tropics. Readers will earn about ecological interactions and productivity in tropical agroforestry ensuring greater ecosystem services and livelihood resilience under changing climates, as well as building livelihood resilience through monetization of carbon credits in agroforestry in the tropics. Livelihood and sustainability-based policy in agroforestry, its challenges, and a future roadmap are also covered. This volume provides new insights related to updated research, development and extension activities for combating climate change through carbon sequestration to enhance intensify greater productivity, and livelihood and ecosystem services for ensuring the goals of sustainable development.
Author: Chandrasekar Vuppalapati
Publisher: Springer Nature
ISBN: 3031087437
Category : Business & Economics
Languages : en
Pages : 910
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Book Description
This book introduces readers to advanced data science techniques for signal mining in connection with agriculture. It shows how to apply heuristic modeling to improve farm-level efficiency, and how to use sensors and data intelligence to provide closed-loop feedback, while also providing recommendation techniques that yield actionable insights. The book also proposes certain macroeconomic pricing models, which data-mine macroeconomic signals and the influence of global economic trends on small-farm sustainability to provide actionable insights to farmers, helping them avoid financial disasters due to recurrent economic crises. The book is intended to equip current and future software engineering teams and operations research experts with the skills and tools they need in order to fully utilize advanced data science, artificial intelligence, heuristics, and economic models to develop software capabilities that help to achieve sustained food security for future generations.
