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Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture
Author: Jyotir Moy Chatterjee
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 454
Release: 2021-02-08
Genre: Computers
ISBN: 3110691280
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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.

The 'Internet + Modern Agriculture'

The 'Internet + Modern Agriculture'
Author: Yueshu Zhou
Publisher: Royal Collins Publishing Company
Total Pages: 146
Release: 2021-06-30
Genre:
ISBN: 9781487804497
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China is a major agricultural nation. As one of its primary industries, agriculture is not only the foundation of the national economy, but also the primary provider of staple living materials for basic survival and development. Currently, a number of industries and enterprises are emerging around the 'Internet +' version of modern agriculture, covering planting, aquaculture, land transfer, poverty alleviation, rural e-commerce, and rural finance, and involving production, operation, management, and sales. Technologies such as the Internet, Big Data, and the Internet of Things have gradually penetrated all aspects of agriculture, sparking a major revolution in the sector. What kind of changes will occur in agriculture in the context of the Internet? What opportunities and challenges will it face? What are its current practices and development status, and what changes will be made in the future? In response to these questions, this book considers agriculture from the perspective of 'Internet +' actions. It deals with specific issues such as the essence of the 'Internet + modern agriculture', its emergence and development, its current status and practice, and future direction

Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture
Author: Jyotir Moy Chatterjee
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 424
Release: 2021-02-08
Genre: Computers
ISBN: 3110691272
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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.

The Digital Agricultural Revolution

The Digital Agricultural Revolution
Author: Roheet Bhatnagar
Publisher: John Wiley & Sons
Total Pages: 500
Release: 2022-06-15
Genre: Computers
ISBN: 1119823331
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THE DIGITAL AGRICULTURAL REVOLUTION The book integrates computational intelligence, applied artificial intelligence, and modern agricultural practices and will appeal to scientists, agriculturists, and those in plant and crop science management. There is a need for synergy between the application of modern scientific innovation in the area of artificial intelligence and agriculture, considering the major challenges from climate change consequences viz. rising temperatures, erratic rainfall patterns, the emergence of new crop pests, drought, flood, etc. This volume reports on high-quality research (theory and practice including prototype & conceptualization of ideas, frameworks, real-world applications, policy, standards, psychological concerns, case studies, and critical surveys) on recent advances toward the realization of the digital agriculture revolution as a result of the convergence of different disruptive technologies. The book touches upon the following topics which have contributed to revolutionizing agricultural practices. Applications of Artificial Intelligence in Agriculture (AI models and architectures, system design, real-world applications of AI, machine learning and deep learning in the agriculture domain, integration & coordination of systems and issues & challenges). IoT and Big Data Analytics Applications in Agriculture (theory & architecture and the use of various types of sensors in optimizing agriculture resources and final product, benefits in real-time for crop acreage estimation, monitoring & control of agricultural produce). Robotics & Automation in Agriculture Systems (Automation challenges, need and recent developments and real case studies). Intelligent and Innovative Smart Agriculture Applications (use of hybrid intelligence in better crop health and management). Privacy, Security, and Trust in Digital Agriculture (government framework & policy papers). Open Problems, Challenges, and Future Trends. Audience Researchers in computer science, artificial intelligence, electronics engineering, agriculture automation, crop management, and science.

Computer and Computing Technologies in Agriculture VI

Computer and Computing Technologies in Agriculture VI
Author: Daoliang Li
Publisher: Springer
Total Pages: 504
Release: 2013-02-26
Genre: Computers
ISBN: 3642361374
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The two-volume set IFIP AICT 392 and 393 constitutes the refereed post-conference proceedings of the 6th IFIP TC 5, SIG 5.1 International Conference on Computer and Computing Technologies in Agriculture, CCTA 2012, held in Zhangjiajie, China, in October 2012. The 108 revised papers presented were carefully selected from numerous submissions. They cover a wide range of interesting theories and applications of information technology in agriculture, including Internet of things and cloud computing; simulation models and decision-support systems for agricultural production; smart sensor, monitoring, and control technology; traceability and e-commerce technology; computer vision, computer graphics, and virtual reality; the application of information and communication technology in agriculture; and universal information service technology and service systems development in rural areas. The 55 papers included in the second volume focus on GIS, GPS, RS, and Precision Farming.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

Agricultural Internet of Things and Decision Support for Precision Smart Farming
Author: Annamaria Castrignano
Publisher: Academic Press
Total Pages: 472
Release: 2020-01-09
Genre: Business & Economics
ISBN: 0128183748
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Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. Presents the science behind smart technologies for agricultural management Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable

Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture
Author: Vishal Jain
Publisher: Nova Science Publishers
Total Pages: 253
Release: 2021-10-14
Genre: Agriculture
ISBN: 9781685072162
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"Agriculture is one of the most fundamental human activities. It has kept humans happier and healthier and helped birth modern society as we know it. As farming has expanded, however, the usage of resources such as land, fertilizer, and water has grown exponentially. Environmental pressures from modern farming techniques have stressed our natural landscapes. Still, by some estimates, worldwide food production will need to increase 70% by 2050 to keep up with global demand. With global populations rising, it falls to technology to make farming processes more efficient and keep up with the growing demand. Fortunately, Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector"--

Smart Agricultural Services Using Deep Learning, Big Data, and IoT

Smart Agricultural Services Using Deep Learning, Big Data, and IoT
Author: Gupta, Amit Kumar
Publisher: IGI Global
Total Pages: 280
Release: 2020-10-30
Genre: Technology & Engineering
ISBN: 1799850048
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The agricultural sector can benefit immensely from developments in the field of smart farming. However, this research area focuses on providing specific fixes to particular situations and falls short on implementing data-driven frameworks that provide large-scale benefits to the industry as a whole. Using deep learning can bring immense data and improve our understanding of various earth sciences and improve farm services to yield better crop production and profit. Smart Agricultural Services Using Deep Learning, Big Data, and IoT is an essential publication that focuses on the application of deep learning to agriculture. While highlighting a broad range of topics including crop models, cybersecurity, and sustainable agriculture, this book is ideally designed for engineers, programmers, software developers, agriculturalists, farmers, policymakers, researchers, academicians, and students.

Digital Agriculture for Food Security and Sustainable Development of the Agro-Industrial Complex

Digital Agriculture for Food Security and Sustainable Development of the Agro-Industrial Complex
Author: Elena G. Popkova
Publisher: Springer Nature
Total Pages: 171
Release: 2023-04-24
Genre: Technology & Engineering
ISBN: 3031279115
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The book discusses the best international practices in digital agriculture. The book aims to form systemic scientific and methodological support and develop comprehensive applied solutions to unlock the potential of sustainable development of digital agriculture for food security. The book’s contribution to the literature lies in its comprehensive treatment of public and corporate management of farms representing digital agriculture. The research novelty is associated with the systemic disclosure of economic, legal, and technological issues in the development of digital agriculture. Thus, the book provides a solid foundation for integrating food security interests into farming practices. The first part of the book reflects the economic, legal, and technological support of quality management and sustainable development in digital agribusiness based on the best international practices. The second part focuses on Russian and international agricultural policies for food security. The book is intended for members of the academic community who will find promising solutions to current problems of food security through the development of digital agriculture. The book will also be of interest to farmers and representatives of the state regulation of the agricultural economy. In this book, they will find practical recommendations for improving government and corporate management of food security through the development of digital agriculture.

Agricultural Internet of Things

Agricultural Internet of Things
Author: Yong He
Publisher: Springer Nature
Total Pages: 443
Release: 2021-08-02
Genre: Technology & Engineering
ISBN: 3030657027
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Internet of things (IoT) is a new type of network that combines communication technology, expanded applications, and physical devices. Among them, agriculture is one of the most important areas in the application of the IoT technology, which has its unique requirements and integration features. Compared to the information technology in traditional agriculture, the agricultural IoT mainly refers to industrialized production and sustainable development under relatively controllable conditions. Agricultural IoT applies sensors, RFID, visual capture terminals and other types of sensing devices to detect and collect site information, and with broad applications in field planting, facility horticulture, livestock and poultry breeding, aquaculture and agricultural product logistics. It utilizes multiple information transmission channels such as wireless sensor networks, telecommunications networks and the internet to achieve reliable transmission of agricultural information at multiple scales and intelligently processes the acquired, massive information. The goals are to achieve (i) optimal control of agricultural production process, (ii) intelligent electronic trading of agricultural products circulation, and (iii) management of systematic logistics, quality and safety traceability. This book focuses on three levels of agricultural IoT network: information perception technology, information transmission technology and application technology.