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Smart Sensing Technology for Agriculture and Environmental Monitoring

Smart Sensing Technology for Agriculture and Environmental Monitoring PDF Author: Subhas Chandra Mukhopadhyay
Publisher: Springer Science & Business Media
ISBN: 3642276385
Category : Technology & Engineering
Languages : en
Pages : 392

Book Description
The book focuses on the different aspects of sensing technology, i.e. high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors specifically aims to monitor agricultural and environmental parameters. This book is dedicated to Sensing systems for Agricultural and Environmental Monitoring offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Agriculture and Environmental engineers. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

Smart Sensing Technology for Agriculture and Environmental Monitoring

Smart Sensing Technology for Agriculture and Environmental Monitoring PDF Author: Subhas Chandra Mukhopadhyay
Publisher: Springer Science & Business Media
ISBN: 3642276385
Category : Technology & Engineering
Languages : en
Pages : 392

Book Description
The book focuses on the different aspects of sensing technology, i.e. high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors specifically aims to monitor agricultural and environmental parameters. This book is dedicated to Sensing systems for Agricultural and Environmental Monitoring offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Agriculture and Environmental engineers. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

Smart Sensing Technology for Agriculture

Smart Sensing Technology for Agriculture PDF Author: Elsie Kennedy
Publisher: Callisto Reference
ISBN: 9781641168212
Category : Technology & Engineering
Languages : en
Pages : 0

Book Description
Sensors are small devices that are used to measure or detect natural Earth conditions such as motion, heat, or light, and represent this in analog or digital form. In the agricultural sector, sensors are used in drones, weather stations and robots. Data collected by these sensors is used for monitoring and optimizing crops and protecting the crops from adverse impacts of the environment. Optical sensors are agricultural sensors that involve the use of various frequencies of light to measure the properties of soil. It can determine organic matter in the soil, soil moisture and clay content in soil. Electrochemical sensors are used to gather information about chemical data of soil for detecting the nutrients present in the soil. This book provides a detailed explanation of the applications of sensing technology in agriculture. A number of latest researches have been included to keep the readers updated with the global concepts in this area of study. The book aims to equip students and experts with the advanced topics and upcoming concepts in this area of agricultural technology.

Smart Sensing Technologies for Agriculture

Smart Sensing Technologies for Agriculture PDF Author: Viacheslav Adamchuk
Publisher: MDPI
ISBN: 3039366882
Category : Science
Languages : en
Pages : 232

Book Description
“Smart Sensing Technologies for Agriculture” is a Special Issue of Sensors that includes 14 research papers on diverse topics about the measurement of physical, chemical, and biological characteristics of soil, plants, and animals related to modern farming practices.

Advances in Sensor Technology for Sustainable Crop Production

Advances in Sensor Technology for Sustainable Crop Production PDF Author: Craig R. Lobsey
Publisher:
ISBN: 9781003286707
Category : Detectors
Languages : en
Pages : 0

Book Description
With the agricultural sector facing mounting pressure to reduce their carbon footprint, greater emphasis has been placed on improving existing components and practices, such as soil health and biodiversity, which have since emerged as key components to achieving regenerative agriculture.Sensors provide the opportunity to measure crop and soil health at unparalleled scales and resolution. Key developments in sensor technology will help improve our current understanding and optimisation of the complex agricultural systems that make up our global ecosystem.Advances in sensor technology for sustainable crop production provides a comprehensive review of the wealth of research on key developments in sensor technology to improve monitoring and management of crop health, soil health, weeds and diseases. This collection also reviews advances in proximal and remote sensing techniques to monitor soil health, such as spectroscopy and radiometrics, as well as how sensor technology can be optimised for more targeted irrigation, site-specific nutrient and weed management.

Unmanned Aerial Vehicles for Internet of Things (IoT)

Unmanned Aerial Vehicles for Internet of Things (IoT) PDF Author: Vandana Mohindru
Publisher: John Wiley & Sons
ISBN: 1119768829
Category : Computers
Languages : en
Pages : 322

Book Description
UNMANNED AERIAL VEHICLES FOR INTERNET OF THINGS This comprehensive book deeply discusses the theoretical and technical issues of unmanned aerial vehicles for deployment by industries and civil authorities in Internet of Things (IoT) systems. Unmanned aerial vehicles (UAVs) has become one of the rapidly growing areas of technology, with widespread applications covering various domains. UAVs play a very important role in delivering Internet of Things (IoT) services in small and low-power devices such as sensors, cameras, GPS receivers, etc. These devices are energy-constrained and are unable to communicate over long distances. The UAVs work dynamically for IoT applications in which they collect data and transmit it to other devices that are out of communication range. Furthermore, the benefits of the UAV include deployment at remote locations, the ability to carry flexible payloads, reprogrammability during tasks, and the ability to sense for anything from anywhere. Using IoT technologies, a UAV may be observed as a terminal device connected with the ubiquitous network, where many other UAVs are communicating, navigating, controlling, and surveilling in real time and beyond line-of-sight. The aim of the 15 chapters in this book help to realize the full potential of UAVs for the IoT by addressing its numerous concepts, issues and challenges, and develops conceptual and technological solutions for handling them. Applications include such fields as disaster management, structural inspection, goods delivery, transportation, localization, mapping, pollution and radiation monitoring, search and rescue, farming, etc. In addition, the book covers: Efficient energy management systems in UAV-based IoT networks IoE enabled UAVs Mind-controlled UAV using Brain-Computer Interface (BCI) The importance of AI in realizing autonomous and intelligent flying IoT Blockchain-based solutions for various security issues in UAV-enabled IoT The challenges and threats of UAVs such as hijacking, privacy, cyber-security, and physical safety. Audience: Researchers in computer science, Internet of Things (IoT), electronics engineering, as well as industries that use and deploy drones and other unmanned aerial vehicles.

Nanosensors for Smart Agriculture

Nanosensors for Smart Agriculture PDF Author: Adil Denizli
Publisher: Elsevier
ISBN: 0323852939
Category : Technology & Engineering
Languages : en
Pages : 825

Book Description
Nanosensors for Smart Agriculture covers new breakthroughs in smart agriculture, highlighting new technologies, such as the internet of things, big data and artificial intelligence. In addition, the book provides the many advantages of nanosensors over their micro counterparts, such as lower power consumption, higher sensitivity, lower concentration of analytes, and smaller interaction distances between the object and sensor. Sections provide information on fundamental design concepts and emerging applications of nanosensors in smart agriculture. The book highlights how, when cultivating soil, nanosensors and their wireless networks can be used for soil quality monitoring (moisture/herbicides/organic compound/trace metals monitoring in soil, etc. Other applications cover how smart nanosensors can be used for virus detection and hygiene/pathogen controls in livestocks, their use as active transport tracking devices for smart tracking and tracing, and other various applications, such as (i) nanochips for identity (radio frequency identification), (ii) food inspection, (iii) intelligent food packaging, and (iv) smart storage. This is an important reference source for materials scientists and agricultural engineers who are looking to understand more about how nanosensor technology can be used to create more efficient and sustainable agricultural systems. Outlines the fabrication and fundamental design concepts of nanosensors for agricultural applications Explains how nanosensors are being used throughout the agricultural cycle – from crop growth to food manufacturing Assesses major challenges surrounding the application of nanosensors to agricultural applications in mass scale

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

Smart Agricultural Services Using Deep Learning, Big Data, and IoT PDF Author: Gupta, Amit Kumar
Publisher: IGI Global
ISBN: 1799850048
Category : Technology & Engineering
Languages : en
Pages : 280

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.

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture PDF Author: Tomar, Pradeep
Publisher: IGI Global
ISBN: 1799817245
Category : Technology & Engineering
Languages : en
Pages : 400

Book Description
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

Agricultural Internet of Things and Decision Support for Precision Smart Farming PDF Author: Annamaria Castrignano
Publisher: Academic Press
ISBN: 0128183748
Category : Business & Economics
Languages : en
Pages : 472

Book Description
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

Sensors Application in Agriculture

Sensors Application in Agriculture PDF Author: Dimitrios S. Paraforos
Publisher: MDPI
ISBN: 3039432583
Category : Science
Languages : en
Pages : 228

Book Description
Novel technologies are playing an important role in the development of crop and livestock farming and have the potential to be the key drivers of sustainable intensification of agricultural systems. In particular, new sensors are now available with reduced dimensions, reduced costs, and increased performances, which can be implemented and integrated in production systems, providing more data and eventually an increase in information. It is of great importance to support the digital transformation, precision agriculture, and smart farming, and to eventually allow a revolution in the way food is produced. In order to exploit these results, authoritative studies from the research world are still needed to support the development and implementation of new solutions and best practices. This Special Issue is aimed at bringing together recent developments related to novel sensors and their proved or potential applications in agriculture.