Artificial Intelligence And Heuristics For Enhanced Food Security

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Artificial Intelligence and Heuristics for Enhanced Food Security

Author : Chandrasekar Vuppalapati
Publisher : Springer Nature
ISBN 13 : 3031087437
Total Pages : 910 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence and Heuristics for Enhanced Food Security by : Chandrasekar Vuppalapati

Download or read book Artificial Intelligence and Heuristics for Enhanced Food Security written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2022-09-16 with total page 910 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Advanced Analytics for Food Security

Author : Chandrasekar Vuppalapati
Publisher : CRC Press
ISBN 13 : 1000919153
Total Pages : 548 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Artificial Intelligence and Advanced Analytics for Food Security by : Chandrasekar Vuppalapati

Download or read book Artificial Intelligence and Advanced Analytics for Food Security written by Chandrasekar Vuppalapati and published by CRC Press. This book was released on 2023-07-17 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Data Science in Agriculture

Author : Chandrasekar Vuppalapati
Publisher :
ISBN 13 : 9783111438412
Total Pages : 0 pages
Book Rating : 4.4/5 (384 download)

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Book Synopsis Artificial Intelligence and Data Science in Agriculture by : Chandrasekar Vuppalapati

Download or read book Artificial Intelligence and Data Science in Agriculture written by Chandrasekar Vuppalapati and published by . This book was released on 2024-10-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents some of the most important applications of Artificial Intelligence, Data Science and Machine Learning for questions arising in agriculture. The book introduces data sources and methods used to estimate crop yields and prices under different climate scenarios. The methods and models introduced in the book can be applied across a large set of concrete questions across technology, industry, economics and sustainablility.

Specialty Crops for Climate Change Adaptation

Author : Chandrasekar Vuppalapati
Publisher : Springer Nature
ISBN 13 : 3031383990
Total Pages : 836 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Specialty Crops for Climate Change Adaptation by : Chandrasekar Vuppalapati

Download or read book Specialty Crops for Climate Change Adaptation written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on 2023-11-15 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including floriculture. The value of specialty crop production in the United States accounted for 18.44 % of the $433.569 billion in agriculture cash receipts collected in 2021. In 2020, that ratio was 21.47% of the $363.464 billion. Specialty crops are gaining increasing attention across nation as demonstrated in the 2018 farm bill (Agricultural Act of the 2018 Farm Bill (P.L. 115-334)) with the increased number of provisions addressing specialty crop issues, reflecting their growing role in the global economy. The cultivation of Specialty crops, nevertheless, has its own challenges. Specialty crops are generally more sensitive to climatic stressors and require more comprehensive management compared to traditional row crops. Specialty crops face significant financial risks threatening US$1.6 Trillion global market due to their higher water demand. The mission of the book is to prepare current and future software engineering teams, agriculture students, economists, macroeconomists with the skills and tools to fully utilize advanced data science, artificial intelligence, climate patterns, and economic models to develop software capabilities that help to achieve Specialty crops and economic sustainability, through improved productivity for years to come and ensure enough food for the future of the planet and generations to come!

Assessing Policy Effectiveness using AI and Language Models

Author : Chandrasekar Vuppalapati
Publisher : Springer Nature
ISBN 13 : 3031560973
Total Pages : 481 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Assessing Policy Effectiveness using AI and Language Models by : Chandrasekar Vuppalapati

Download or read book Assessing Policy Effectiveness using AI and Language Models written by Chandrasekar Vuppalapati and published by Springer Nature. This book was released on with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Applications in Agriculture and Food Quality Improvement

Author : Khan, Mohammad Ayoub
Publisher : IGI Global
ISBN 13 : 1668451433
Total Pages : 352 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Artificial Intelligence Applications in Agriculture and Food Quality Improvement by : Khan, Mohammad Ayoub

Download or read book Artificial Intelligence Applications in Agriculture and Food Quality Improvement written by Khan, Mohammad Ayoub and published by IGI Global. This book was released on 2022-05-27 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food is a necessary aspect of human life, and agriculture is crucial to any country’s global economy. Because the food business is essential to both a country’s economy and global economy, artificial intelligence (AI)-based smart solutions are needed to assure product quality and food safety. The agricultural sector is constantly under pressure to boost crop output as a result of population growth. This necessitates the use of AI applications. Artificial Intelligence Applications in Agriculture and Food Quality Improvement discusses the application of AI, machine learning, and data analytics for the acceleration of the agricultural and food sectors. It presents a comprehensive view of how these technologies and tools are used for agricultural process improvement, food safety, and food quality improvement. Covering topics such as diet assessment research, crop yield prediction, and precision farming, this premier reference source is an essential resource for food safety professionals, quality assurance professionals, agriculture specialists, crop managers, agricultural engineers, food scientists, computer scientists, AI specialists, students, libraries, government officials, researchers, and academicians.

AI in Food Industry for Food Products Quality Inspection

Author : Dr Syeda Sumera Ali
Publisher : Blue Rose Publishers
ISBN 13 :
Total Pages : 149 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI in Food Industry for Food Products Quality Inspection by : Dr Syeda Sumera Ali

Download or read book AI in Food Industry for Food Products Quality Inspection written by Dr Syeda Sumera Ali and published by Blue Rose Publishers. This book was released on 2022-05-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is a branch of science & engineering that deals with machine learning (ML) and Deep Learning (DL) are the commonly used algorithms in the field of Artificial Intelligence namely. Models learn from data available and used by customers, government agencies & companies for sake of analysis. In food industries, the design of standard reliable procedures to inspect & control the quality of products is a major objective. The deployment of AI to achieve better customer experience, supply chain, management, improve operational efficiency, reduction in material movements , vehicle activity, and better results in the business . Automation in the food industry for sake of control a process at optimum level, reducing costs & time, monitor food processing, minimize the error, respond to production issues, safety, tracking & improving quality . AI has various applications includes sorting fresh produce, effective cleaning, consumer preference, saving time and resources.

Artificial Intelligence: A Real Opportunity in the Food Industry

Author : Aboul Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3031137027
Total Pages : 155 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Artificial Intelligence: A Real Opportunity in the Food Industry by : Aboul Ella Hassanien

Download or read book Artificial Intelligence: A Real Opportunity in the Food Industry written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2022-11-03 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the latest developments and achievements in AI and related technologies with a special focus on food quality. The book describes the applications, and conceptualization of ideas, and critical surveys covering most aspects of AI for food quality.

Food Security in the Economy of the Future

Author : Elena G. Popkova
Publisher : Springer Nature
ISBN 13 : 3031235118
Total Pages : 153 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Food Security in the Economy of the Future by : Elena G. Popkova

Download or read book Food Security in the Economy of the Future written by Elena G. Popkova and published by Springer Nature. This book was released on 2023-03-25 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores issues of agricultural development and the provision of food security, providing a core framework and recommendations for implementing sustainable development goals in these areas. Focused on the period up to 2030 to match the timeline of the SDGs, the book surveys the current landscape and the prospects for agricultural development, demonstrating how Agriculture 4.0 based on AI and deep learning must follow from digitalization as the next step to ensuring food security. It brings together research based on analytical and statistical data, including the IMD World Digital Competitiveness Report and the Food Security Report from the Economist Intelligence Unit, and reliable mathematical tools including correlation and regression analysis, forecasting with histogramming, probability estimates, and the simplex method, as well as Game Theory methodology and the hierarchical procedure method of Thomas Lorie Saaty to forecast international scenarios for food security in the future economy. Containing theoretical and practical insights, the book will be of interest to those studying agricultural economics, the digital economy, and concepts of Agriculture 4.0 and Industry 4.0.

Simple Heuristics that Make Us Smart

Author : Gerd Gigerenzer
Publisher : Oxford University Press
ISBN 13 : 0190286768
Total Pages : 432 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Simple Heuristics that Make Us Smart by : Gerd Gigerenzer

Download or read book Simple Heuristics that Make Us Smart written by Gerd Gigerenzer and published by Oxford University Press. This book was released on 2000-10-12 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock market. As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyone interested in simply making good decisions.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 152251760X
Total Pages : 3048 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Artificial Intelligence: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Artificial Intelligence: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-12-12 with total page 3048 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management

Author : Kumar, Rajeev
Publisher : IGI Global
ISBN 13 : 1668491532
Total Pages : 421 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management by : Kumar, Rajeev

Download or read book Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management written by Kumar, Rajeev and published by IGI Global. This book was released on 2023-09-25 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging technologies have become both crucibles and showrooms for the practical application of artificial intelligence, the internet of things, and cloud computing, and for integrating big data into everyday life. Is the digital world optimized and sustainable using intelligence systems, machine learning, and cyber security methods? This complex concoction of challenges requires new thinking of the synergistic utilization of intelligence systems, machine learning, deep learning and blockchain methods, data-driven decision-making with automation infrastructure, autonomous transportation, and connected buildings. Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management provides a global perspective on current and future trends concerning the integration of intelligent systems with cybersecurity applications, including recent advances and challenges related to the concerns of security and privacy issues in deep learning with an emphasis on the current state-of-the-art methods, methodologies and implementation, attacks, and countermeasures. The book also discusses the challenges that need to be addressed for implementing DL-based security mechanisms that should have the capability of collecting or distributing data across several applications. Topics covered include skill development and tools for intelligence systems, deep learning, machine learning, blockchain, IoT, cloud computing, data ethics, and infrastructure. It is ideal for independent researchers, research scholars, scientists, libraries, industry experts, academic students, business associations, communication and marketing agencies, entrepreneurs, and all potential audiences with a specific interest in these topics.

Artificial Intelligence

Author : Jacob Parakilas
Publisher : Chatham House (Formerly Riia)
ISBN 13 : 9781784132125
Total Pages : 60 pages
Book Rating : 4.1/5 (321 download)

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Book Synopsis Artificial Intelligence by : Jacob Parakilas

Download or read book Artificial Intelligence written by Jacob Parakilas and published by Chatham House (Formerly Riia). This book was released on 2018 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The rise of AI must be better managed in the near term in order to mitigate longer term risks and to ensure that AI does not reinforce existing inequalities"--Publisher.

Meta-Heuristics

Author : Ibrahim H. Osman
Publisher : Springer Science & Business Media
ISBN 13 : 1461313619
Total Pages : 676 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Meta-Heuristics by : Ibrahim H. Osman

Download or read book Meta-Heuristics written by Ibrahim H. Osman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications. This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Author : Victor Chang
Publisher : Academic Press
ISBN 13 : 0323903789
Total Pages : 294 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 by : Victor Chang

Download or read book Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 written by Victor Chang and published by Academic Press. This book was released on 2022-04-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak

Responsible Artificial Intelligence

Author : Virginia Dignum
Publisher : Springer Nature
ISBN 13 : 3030303713
Total Pages : 127 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Responsible Artificial Intelligence by : Virginia Dignum

Download or read book Responsible Artificial Intelligence written by Virginia Dignum and published by Springer Nature. This book was released on 2019-11-04 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Applications of Artificial Intelligence and Machine Learning

Author : Ankur Choudhary
Publisher : Springer Nature
ISBN 13 : 9811630674
Total Pages : 738 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Applications of Artificial Intelligence and Machine Learning by : Ankur Choudhary

Download or read book Applications of Artificial Intelligence and Machine Learning written by Ankur Choudhary and published by Springer Nature. This book was released on 2021-07-27 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.