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Iot And Analytics For Agriculture

IoT and Analytics for Agriculture PDF

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Author: Prasant Kumar Pattnaik
Publisher: Springer Nature
ISBN: 9811391777
Size: 64.29 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 240
View: 3576

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

Internet of Things and Analytics for Agriculture PDF

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Author: Prasant Kumar Pattnaik
Publisher: Springer Nature
ISBN: 9811506639
Size: 27.42 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 288
View: 2847

Book Description: This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT). A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.


Ai Edge And Iot Based Smart Agriculture

AI  Edge and IoT based Smart Agriculture PDF

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Author: Ajith Abraham
Publisher: Academic Press
ISBN: 9780128236949
Size: 31.29 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 570
View: 5196

Book Description: AI, Edge and IoT Smart Agriculture integrates applications of IoT and edge computing and data analytics for sustainable agricultural development. It introduces Edge of Thing-based data analytics along with IoT for predictability of crop, soil and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management along with smart farming. It provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture as well as data mining researchers from around the world provide foundational insights. Including contributions from the Data mining, data analytics, Edge of Things and cloud research communities working in the farming production sector the book provides practical application opportunities for the resolution of real-world problems. AI, Edge and IoT Smart Agriculture provides the reader with a broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT based agriculture, Edge of Things and cloud based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture towards smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring and farm management Presents data mining techniques for precision agriculture including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability


Agricultural Informatics

Agricultural Informatics PDF

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Author: Amitava Choudhury
Publisher: John Wiley & Sons
ISBN: 1119769213
Size: 58.21 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 304
View: 6026

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.


Iot Based Data Analytics For The Healthcare Industry

IoT Based Data Analytics for the Healthcare Industry PDF

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Author: Sanjay Kumar Singh
Publisher: Academic Press
ISBN: 0128214767
Size: 34.87 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 340
View: 1262

Book Description: IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Provides state-of-art methods and current trends in data analytics for the healthcare industry Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques Discusses several potential AI techniques developed using IoT for the healthcare industry Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages


Smart Agricultural Services Using Deep Learning Big Data And Iot

Smart Agricultural Services Using Deep Learning  Big Data  and IoT PDF

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Author: Amit Kumar Gupta
Publisher: IGI Global
ISBN: 1799850048
Size: 57.93 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 280
View: 1248

Book Description:

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.



Transdisciplinary Engineering For Complex Socio Technical Systems Real Life Applications

Transdisciplinary Engineering for Complex Socio technical Systems     Real life Applications PDF

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Author: J. Pokojski
Publisher: IOS Press
ISBN: 1643681117
Size: 50.62 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 736
View: 5655

Book Description: Transdisciplinary engineering transcends other inter- and multi-disciplinary ways of working, such as Concurrent Engineering (CE). In particular, transdisciplinary processes are aimed at solving complex, ill-defined problems, or problems for which the solution is not immediately obvious. No one discipline or single person can provide sufficient knowledge to solve such problems, so collaboration is essential. This book presents the proceedings of the 27th ISTE International Conference on Transdisciplinary Engineering, organized by Warsaw University of Technology, Poland, from 1-10 July 2020. ISTE2020 was the first of this conference series to be held virtually, due to the COVID-19 restrictions. Entitled Transdisciplinary Engineering for Complex Socio-technical Systems - Real-life Applications, the book includes 71 peer-reviewed papers presented at the conference by authors from 17 countries. These range from theoretical and conceptual to strongly pragmatic and addressing industrial best practice and, together with invited talks, they have been collated into 9 sections: Transdisciplinary Engineering (7 papers); Transdisciplinary Engineering Education (4 papers); Industry 4.0, Methods and Tools (7 papers); Human-centered Design (8 papers); Methods and Tools for Design and Production (14 papers); Product and Process Development (9 papers); Knowledge and Data Modeling (13 papers); Business Process and Supply Chain Management (7 papers); and Sustainability (2 papers). The book provides an overview of new approaches, methods, tools and their applications, as well as current research and development, and will be of interest to researchers, design practitioners, and educators working in the field.


Advanced Intelligent Systems For Sustainable Development Ai2sd 2019

Advanced Intelligent Systems for Sustainable Development  AI2SD   2019  PDF

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Author: Mostafa Ezziyyani
Publisher: Springer Nature
ISBN: 3030366642
Size: 11.93 MB
Format: PDF, Mobi
Category : Technology & Engineering
Languages : en
Pages : 407
View: 2954

Book Description: This book highlights the latest research in the fields of health care and agriculture, presented at the second installment of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2019), held on July 08–11, 2019 in Marrakech, Morocco. Gathering contributions by respected researchers in the field of agriculture, the book is intended to stimulate debate in this field, and proposes new solutions, tools and effective techniques concerning various current topics in the field of agriculture, such as ICT, IoT and big data analytics for agriculture, smart systems for plant productivity, and data analytics of socio-economic dimensions for sustainable agriculture and aquaculture. With regard to the field of health, the book addresses several areas of research, including E-health services in smart environments (smart homes, smart medical institutions, smart cities), E-health and big data analysis, IoT for health, network interoperability in E-health ecosystems, current and emerging web norms and communication technologies for E-health, heterogeneity of E-health environments and platforms (sensors and actuators, heterogeneous access technologies, security), human–computer interaction, RFID and localization techniques, E-health virtual communities, and business intelligence in health care. This book is intended for academic and professional researchers, decision-makers and all stakeholders in the fields of health and agriculture whose work involves the development and improvement of this field with modern I4.0 technologies and approaches. The authors of each chapter report on the state of the art and present the outcomes of their own research, laboratory experiments, and successful applications. The purpose of the book is to combine the idea of advanced intelligent systems with appropriate tools and techniques for modeling, management, and decision support in the fields of health and agriculture.


Handbook Of Research On The Impact Of Deep Learning And Iot On Multi Industry Applications

Handbook of Research on the Impact of Deep Learning and IoT on Multi Industry Applications PDF

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Author: Roshani Raut
Publisher: Engineering Science Reference
ISBN: 1799875172
Size: 64.79 MB
Format: PDF
Category : Computers
Languages : en
Pages : 400
View: 1037

Book Description: "This book provides insights on how deep learning, together with IOT, will impact various sectors such as healthcare, agriculture, cyber security, and social media analysis applications offering solutions to various real-world problems using these methods from various researchers' point of views"--


Iot And Wsn Applications For Modern Agricultural Advancements Emerging Research And Opportunities

IoT and WSN Applications for Modern Agricultural Advancements  Emerging Research and Opportunities PDF

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Author: Mukherjee, Proshikshya
Publisher: IGI Global
ISBN: 1522590064
Size: 49.89 MB
Format: PDF, Docs
Category : Technology & Engineering
Languages : en
Pages : 145
View: 1012

Book Description: Currently, the demand by consumption of agricultural products may be predicted quantitatively; moreover, the variation of harvest and production by the change of a farm's cultivated area, weather change, disease, insect damage, etc. is a challenge that has led to improper control of the supply and demand of agricultural products. Advancements in IoT and wireless sensor networks in precision agriculture and the cloud computing technology needed to deploy them can be used to address and solve these issues. IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities is an essential research book that focuses on the development of effective data-computing operations on agricultural advancements that are fully supported by IoT, cloud computing, and wireless sensor network systems and explores prospective applications of computing, analytics, and networking in various interdisciplinary domains of engineering. Featuring a range of topics such as power monitoring, healthcare, and GIS, this book is ideal for IT practitioners, farmers, network analysts, researchers, professionals, academicians, industry experts, and students.


Internet Of Things And Big Data Analytics Toward Next Generation Intelligence

Internet of Things and Big Data Analytics Toward Next Generation Intelligence PDF

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Author: Nilanjan Dey
Publisher: Springer
ISBN: 331960435X
Size: 10.75 MB
Format: PDF
Category : Computers
Languages : en
Pages : 549
View: 5894

Book Description: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.