Machine Learning And Artificial Intelligence For Agricultural Economics

Author : Chandrasekar Vuppalapati
Publisher : Springer Nature
Page : 611 pages
File Size : 48,9 Mb
Release : 2021-10-04
Category : Business & Economics
ISBN : 9783030774851

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Machine Learning and Artificial Intelligence for Agricultural Economics by Chandrasekar Vuppalapati Pdf

This book discusses machine learning and artificial intelligence (AI) for agricultural economics. It is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. This volume provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications. The book introduces essential agricultural economic concepts from the perspective of full-scale software development with the emphasis on creating niche blue ocean products. Chapters detail several agricultural economic and AI reference architectures with a focus on data integration, algorithm development, regression, prognostics model development and mathematical optimization. Upgrading traditional AI software development paradigms to function in dynamic agricultural and economic markets, this volume will be of great use to researchers and students in agricultural economics, data science, engineering, and machine learning as well as engineers and industry professionals in the public and private sectors.

Author : Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari
Publisher : Academic Press
Page : 332 pages
File Size : 42,8 Mb
Release : 2022-05-14
Category : Business & Economics
ISBN : 9780323906685

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Application of Machine Learning in Agriculture by Mohammad Ayoub Khan,Rijwan Khan,Mohammad Aslam Ansari Pdf

Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture

Author : Suchismita Satapathy,Debesh Mishra,Arturo Realyvásquez Vargas
Publisher : Springer Nature
Page : 129 pages
File Size : 52,8 Mb
Release : 2022-01-01
Category : Business & Economics
ISBN : 9783030888282

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Innovation in Agriculture with IoT and AI by Suchismita Satapathy,Debesh Mishra,Arturo Realyvásquez Vargas Pdf

This book examines different innovations in worldwide agricultural-systems including the applications of artificial intelligence (AI), internet of things (IoT) and features of machine learning (ML) for the benefits of the farm-community. Specifically, it examines the use of agricultural equipment and IoT to reduce physical stress; innovative equipment that measure and reduce mental work load; and innovative techniques to help with employee safety. Featuring case studies and future implications, this book is an excellent guide for academics and researchers in the agri-sector.

Author : Chandrasekar Vuppalapati
Publisher : Unknown
Page : 0 pages
File Size : 40,6 Mb
Release : 2024-10-15
Category : Business & Economics
ISBN : 3111438414

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Artificial Intelligence and Data Science in Agriculture by Chandrasekar Vuppalapati Pdf

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.

Author : Rajesh Singh,Anita Gehlot,Mahesh Kumar Prajapat,Bhupendra Singh
Publisher : CRC Press
Page : 186 pages
File Size : 49,8 Mb
Release : 2021-11-23
Category : Technology & Engineering
ISBN : 9781000506211

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Artificial Intelligence in Agriculture by Rajesh Singh,Anita Gehlot,Mahesh Kumar Prajapat,Bhupendra Singh Pdf

This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.

Author : Vitor Joao Pereira Domingues Martinho
Publisher : Springer Nature
Page : 138 pages
File Size : 49,9 Mb
Release : 2024-06-16
Category : Electronic
ISBN : 9783031546082

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Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector by Vitor Joao Pereira Domingues Martinho Pdf

Author : Khan, Mohammad Ayoub,Khan, Rijwan,Praveen, Pushkar
Publisher : IGI Global
Page : 352 pages
File Size : 49,5 Mb
Release : 2022-05-27
Category : Technology & Engineering
ISBN : 9781668451434

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Artificial Intelligence Applications in Agriculture and Food Quality Improvement by Khan, Mohammad Ayoub,Khan, Rijwan,Praveen, Pushkar Pdf

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.

Author : Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati
Publisher : CRC Press
Page : 291 pages
File Size : 47,8 Mb
Release : 2022-06-27
Category : Computers
ISBN : 9781000604375

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Artificial Intelligence and Smart Agriculture Technology by Utku Kose,V. B. Surya Prasath,M. Rubaiyat Hossain Mondal,Prajoy Podder,Subrato Bharati Pdf

This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

Author : Chandrasekar Vuppalapati
Publisher : CRC Press
Page : 0 pages
File Size : 47,7 Mb
Release : 2023
Category : Agricultural innovations
ISBN : 1032346191

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Artificial Intelligence and Advanced Analytics for Food Security by Chandrasekar Vuppalapati Pdf

"Food security is major global concern. Based on forecasts of global population growth, current deficit to feed people around the world, and increased demand for greener fuel & biodiesel, food security will remain an important economic development issue over the next several decades. As food-versus-fuel tension becomes more intense, pitting food against energy production, the day will come when more agricultural products will be used for energy than food. Adding to the conundrum, the COVID-19 pandemic has changed the face of the earth in terms of supply chain, resource availability, and human labor and has exposed our vulnerabilities in food security to an even greater extent. In essence, as humanity, we're at a critical juncture and what this unprecedented movement in our lives has thrusted upon us, the practitioners of the agriculture and technologists of the world, is to innovate and become more productive to address the multi-pronged food security challenges. The book teaches agricultural economics and AI software development from startup, industry and academic perspectives with the ultimate goal to empower the reader to create state of art AI applications that can be extremely useful to serve and empower small farmers across the globe and overcome food security"--

Author : Elena G. Popkova,Bruno S. Sergi
Publisher : Springer Nature
Page : 153 pages
File Size : 40,9 Mb
Release : 2023-03-25
Category : Business & Economics
ISBN : 9783031235115

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Food Security in the Economy of the Future by Elena G. Popkova,Bruno S. Sergi Pdf

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.

Author : Mohammad Shorif Uddin,Jagdish Chand Bansal
Publisher : Springer Nature
Page : 269 pages
File Size : 53,6 Mb
Release : 2022-03-13
Category : Technology & Engineering
ISBN : 9789811699917

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Computer Vision and Machine Learning in Agriculture, Volume 2 by Mohammad Shorif Uddin,Jagdish Chand Bansal Pdf

This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.

Author : Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh
Publisher : CRC Press
Page : 268 pages
File Size : 47,8 Mb
Release : 2021-02-11
Category : Technology & Engineering
ISBN : 9781000327892

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Smart Agriculture by Govind Singh Patel,Amrita Rai,Nripendra Narayan Das,R.P. Singh Pdf

This book endeavours to highlight the untapped potential of Smart Agriculture for the innovation and expansion of the agriculture sector. The sector shall make incremental progress as it learns from associations between data over time through Artificial Intelligence, deep learning and Internet of Things applications. The farming industry and Smart agriculture develop from the stringent limits imposed by a farm's location, which in turn has a series of related effects with respect to supply chain management, food availability, biodiversity, farmers' decision-making and insurance, and environmental concerns among others. All of the above-mentioned aspects will derive substantial benefits from the implementation of a data-driven approach under the condition that the systems, tools and techniques to be used have been designed to handle the volume and variety of the data to be gathered. Contributions to this book have been solicited with the goal of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Most agricultural research centres are already adopting Internet of Things for the monitoring of a wide range of farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data and IoT structures.

Author : Sirisha Potluri,Suneeta Satpathy,Santi Swarup Basa,Antonio Zuorro
Publisher : Unknown
Page : 0 pages
File Size : 47,6 Mb
Release : 2024-08
Category : Computers
ISBN : 1032585692

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AI in Agriculture for Sustainable and Economic Management by Sirisha Potluri,Suneeta Satpathy,Santi Swarup Basa,Antonio Zuorro Pdf

This book explains the best practices and their respective outcomes in AI to meet sustainable development goals and demands. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI. AI in Agriculture for Sustainable and Economic Management discusses AI-driven nanotechnology approaches for precision agriculture and solutions for the optimization of farming resources and their management. The authors examine the impact of AI in agriculture and how technology-driven sustainable farming with smart waste-water treatment for zero waste for the circular economy can extend crop shelf-life. It discusses how AI expertise can be advantageous to envisage and evaluate the increasing demands of productivity, and help to maintain ecosystems and strengthen the capacity for crop adaptation in response to drastic changes in climate and weather, natural disasters, and other significant factors. These findings and practices are also useful to emphasize how an agricultural ecosystem can be advanced and industrialized so that it can aid not only large commercial farms but also smaller farmlands. Finally, it also discusses how AI practices will help to find a poise between the volume of food manufactured and the suitable maintenance of the ecosystem. This book is intended for researchers and upper graduate students interested in Artificial intelligence in agricultural engineering, AI advances in crop science and technology for sustainable development.

Author : Naim, Arshi
Publisher : IGI Global
Page : 339 pages
File Size : 44,9 Mb
Release : 2024-03-07
Category : Technology & Engineering
ISBN : 9798369352687

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AI Applications for Business, Medical, and Agricultural Sustainability by Naim, Arshi Pdf

Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 454 pages
File Size : 50,5 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110691283

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Internet of Things and Machine Learning in Agriculture by Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain Pdf

Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.