› › Agro Informatics Vis A Vis Internet Of Things Iot Integration Potentialities An Analysis

Agro Informatics Vis-à-Vis Internet of Things (IoT) Integration & Potentialities--An Analysis

Author : Prantosh Paul

Publisher :

Page : 0 pages

File Size : 38,37 MB

Release : 2020

Category :

ISBN :

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Book Description

Agriculture is the most valuable term and becomes a necessity of human beings. Agriculture is a kind of producing that is responsible for farming or clearly on food and feed, fiber and other items with the help of cultivation of certain plants; however, in broader context agriculture also means as domestic animals. The cultivation and agricultural process in the recent past has changed rapidly and there are many tools, technologies being incorporated for a healthy agricultural process. The Applications of Information and Communication Technologies led the advanced agricultural systems. And these are called as Smart Agriculture. In general, the application of IT and Computing in Agriculture field is called Agro Informatics. With the development of Agro Informatics, the recent concept of Smart Agriculture or Farming has arrived. These various advanced and modern technologies are using for enhancing the quantity as well as the quality of agricultural systems, cultivation and ultimately the products. In the recent past, the cultivators of modern age are associated with modern technologies like GPS, soil scanning, websites, cloud based data management services, basic internet and also Internet of Things based technologies. Adapting modern strategy, now the farmers can increase the effectiveness huge manner as far as pesticides and fertilizers are concerned. On the other hand, Smart farming techniques also help in indirect operations in agriculture including the monitor of agricultural products and individual animals. In the recent past, the scenario of IT and Computing applications has radically changed and Agro Informatics has also become a field of study. Among the latest technologies, IoT or Internet of Things becomes popular and important in a different context. This paper is conceptual in nature and deals with various aspects of Smart Agriculture with special reference to the IoT applications in Agro field.



Demystifying Big Data Analytics for Industries and Smart Societies

Author : Keshav Kaushik

Publisher : CRC Press

Page : 247 pages

File Size : 22,66 MB

Release : 2023-09-28

Category : Computers

ISBN : 1000936880

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Book Description

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics. Key Features: Comprehensive coverage of the fundamentals of big data analytics In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems. Practical examples and case studies to help readers understand complex concepts. Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture Discussion of challenges and legal frameworks involved in big data analytics. Clear and concise language that is easy to understand. This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.



Artificial Intelligence and Smart Agriculture Technology

Author : Utku Kose

Publisher : CRC Press

Page : 291 pages

File Size : 12,30 MB

Release : 2022-06-27

Category : Computers

ISBN : 1000604373

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Book Description

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.



Agricultural Informatics

Author : Amitava Choudhury

Publisher : John Wiley & Sons

Page : 304 pages

File Size : 18,74 MB

Release : 2021-02-25

Category : Computers

ISBN : 1119769221

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Book Description

Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-IoT tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world's economy. Aided by the IoT, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The IoT can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the IoT and Machine Learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.



Contemporary Developments in Agricultural Cyber-Physical Systems

Author : Karthick, G.S.

Publisher : IGI Global

Page : 318 pages

File Size : 28,5 MB

Release : 2023-08-01

Category : Technology & Engineering

ISBN : 1668478811

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Book Description

The cultivation of crops plays a very important role in agriculture. However, proper maintenance and management are required. Lack of such management would lead to crop loss or reduced crop yields. Hence, the ability to detect and identify diseases on infected crops is a problem of increasing concern. Real-time disease detection systems do not exist in the current agricultural landscape. It requires tremendous amounts of work, expertise in plant diseases, and excessive processing time. Using precision agriculture techniques, combined with AI, a great deal of work is reduced. Contemporary Developments in Agricultural Cyber-Physical Systems provides a forum for researchers and practitioners to exchange ideas and achieve progress in cyber-physical systems by highlighting agricultural applications, advances, and research challenges. The book features chapters on all aspects pertaining to this multidisciplinary paradigm, in particular in its application to sustainable agriculture developments. Covering topics such as automation, monitoring systems, and smart agriculture, this premier reference source is an excellent resource for scientists, healthcare professionals, data analysts, computer scientists, students and educators of higher education, researchers, and academicians.



Agricultural Internet of Things

Author : Yong He

Publisher : Springer Nature

Page : 443 pages

File Size : 48,56 MB

Release : 2021-08-02

Category : Technology & Engineering

ISBN : 3030657027

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Book Description

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.



Smart Agriculture Automation Using Advanced Technologies

Author : Amitava Choudhury

Publisher : Springer Nature

Page : 236 pages

File Size : 25,13 MB

Release : 2022-01-01

Category : Computers

ISBN : 9811661243

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Book Description

This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.



IoT and Analytics for Agriculture

Author : Prasant Kumar Pattnaik

Publisher : Springer Nature

Page : 250 pages

File Size : 17,99 MB

Release : 2019-10-01

Category : Technology & Engineering

ISBN : 9811391777

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Book Description

This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.



Internet of Things and Analytics for Agriculture, Volume 3

Author : Prasant Kumar Pattnaik

Publisher : Springer Nature

Page : 385 pages

File Size : 42,72 MB

Release : 2021-11-10

Category : Technology & Engineering

ISBN : 981166210X

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Book Description

The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.



Information and Communication Technologies for Agriculture—Theme II: Data

Author : Dionysis D. Bochtis

Publisher : Springer

Page : 288 pages

File Size : 21,7 MB

Release : 2022-03-18

Category : Business & Economics

ISBN : 9783030841478

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Book Description

This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: Big data management from heterogenous sources Data mining within large data sets Data fusion and visualization IoT based management systems Data Knowledge Management for converting data into valuable information Metadata and data standards for expanding knowledge through different data platforms AI - based image processing for agricultural systems Data - based agricultural business Machine learning application in agricultural products value chain