Author:
Publisher:
ISBN: 9781450387392
Category : Business enterprises
Languages : en
Pages :
Book Description
EBEE 2021
Author:
Publisher:
ISBN: 9781450387392
Category : Business enterprises
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781450387392
Category : Business enterprises
Languages : en
Pages :
Book Description
The Agricultural Sky
Author: K. R. Krishna
Publisher: CRC Press
ISBN: 1000729311
Category : Technology & Engineering
Languages : en
Pages : 612
Book Description
"The agricultural sky" is a dominant natural entity that has influenced, interacted with, and guided the evolution of crops, farming practices, and cropping systems. The sky—and all its components—above and near agricultural areas is an important aspect of an agricultural enterprise—as important as soils, water, and crop species. The blue sky above crops that is seemingly clear, tranquil or sometimes filled with clouds, is really a repository of a large number of gases, mineral or organic particulate matter, dust, mist, turbulent wind, innumerable species of micro-organisms, tiny biotic flora/fauna, seeds, insects, etc. The agrarian sky supports complex interactions of biotic and abiotic aspects with perhaps immediate and/or delayed influence on crops sown on the ground. This volume helps us to better understand the importance of the sky above crop fields, with the goal to encourage revolutionary agronomic procedures that lead to higher yield. It is a comprehensive treatise on the agriculture sky, covering basic definitions, limits, and explanations about atmospheric layers like troposphere, stratosphere, and the phyllosphere. The volume addresses the nutrient dynamics in the sky and their relevance to crop productivity. It looks at both natural biotic and manmade abiotic factors in the sky and how they affect what goes on below, such as from dust storms, at cloudy and/or windy locations, and from high-altitude jet streams. The author discusses wind and solar power generation in the agrarian sky and explores aeroponics to revolutionize crop production. The volume delves into several types of aerial robots, employing AI and other technology, to provide aerial spectral data that are capable of analyzing procedures, soil conditions, irrigation, insect pests, weed detection, herbicide application, soil fertility, and much more. The book includes examples from the North American Great Plains, Pampas of Argentina, Sahelian production zones of West Africa, Indo-Gangetic Plains, etc. This eye-opening book, The Agricultural Sky: A Concept to Revolutionize Farming, will be useful to students and professors in universities as well as to researchers in industry dealing with aerial aspects of farming.
Publisher: CRC Press
ISBN: 1000729311
Category : Technology & Engineering
Languages : en
Pages : 612
Book Description
"The agricultural sky" is a dominant natural entity that has influenced, interacted with, and guided the evolution of crops, farming practices, and cropping systems. The sky—and all its components—above and near agricultural areas is an important aspect of an agricultural enterprise—as important as soils, water, and crop species. The blue sky above crops that is seemingly clear, tranquil or sometimes filled with clouds, is really a repository of a large number of gases, mineral or organic particulate matter, dust, mist, turbulent wind, innumerable species of micro-organisms, tiny biotic flora/fauna, seeds, insects, etc. The agrarian sky supports complex interactions of biotic and abiotic aspects with perhaps immediate and/or delayed influence on crops sown on the ground. This volume helps us to better understand the importance of the sky above crop fields, with the goal to encourage revolutionary agronomic procedures that lead to higher yield. It is a comprehensive treatise on the agriculture sky, covering basic definitions, limits, and explanations about atmospheric layers like troposphere, stratosphere, and the phyllosphere. The volume addresses the nutrient dynamics in the sky and their relevance to crop productivity. It looks at both natural biotic and manmade abiotic factors in the sky and how they affect what goes on below, such as from dust storms, at cloudy and/or windy locations, and from high-altitude jet streams. The author discusses wind and solar power generation in the agrarian sky and explores aeroponics to revolutionize crop production. The volume delves into several types of aerial robots, employing AI and other technology, to provide aerial spectral data that are capable of analyzing procedures, soil conditions, irrigation, insect pests, weed detection, herbicide application, soil fertility, and much more. The book includes examples from the North American Great Plains, Pampas of Argentina, Sahelian production zones of West Africa, Indo-Gangetic Plains, etc. This eye-opening book, The Agricultural Sky: A Concept to Revolutionize Farming, will be useful to students and professors in universities as well as to researchers in industry dealing with aerial aspects of farming.
UAVs for Spatial Modelling and Urban Informatics
Author: Tony H. Grubesic
Publisher: Springer Nature
ISBN: 3031541146
Category :
Languages : en
Pages : 178
Book Description
Publisher: Springer Nature
ISBN: 3031541146
Category :
Languages : en
Pages : 178
Book Description
Applications of Machine Learning in UAV Networks
Author: Hassan, Jahan
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 425
Book Description
Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 425
Book Description
Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.
Proceedings of UASG 2021: Wings 4 Sustainability
Author: Kamal Jain
Publisher: Springer Nature
ISBN: 3031193091
Category : Technology & Engineering
Languages : en
Pages : 602
Book Description
This volume gathers the latest advances, innovations, and applications in the field of geographic information systems and unmanned aerial vehicle (UAV) technologies, as presented by leading researchers and engineers at the 2nd International Conference on Unmanned Aerial System in Geomatics (UASG), held in Roorkee, India on April 2-4, 2021. It covers highly diverse topics, including photogrammetry and remote sensing, surveying, UAV manufacturing, geospatial data sensing, UAV processing, visualization, and management, UAV applications and regulations, geo-informatics and geomatics. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
Publisher: Springer Nature
ISBN: 3031193091
Category : Technology & Engineering
Languages : en
Pages : 602
Book Description
This volume gathers the latest advances, innovations, and applications in the field of geographic information systems and unmanned aerial vehicle (UAV) technologies, as presented by leading researchers and engineers at the 2nd International Conference on Unmanned Aerial System in Geomatics (UASG), held in Roorkee, India on April 2-4, 2021. It covers highly diverse topics, including photogrammetry and remote sensing, surveying, UAV manufacturing, geospatial data sensing, UAV processing, visualization, and management, UAV applications and regulations, geo-informatics and geomatics. The contributions, which were selected by means of a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.
Cybersecurity Issues and Challenges in the Drone Industry
Author: Shah, Imdad Ali
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 593
Book Description
Cybersecurity Issues and Challenges in the Drone Industry is a comprehensive exploration of the critical cybersecurity problems faced by the rapidly expanding drone industry. With the widespread adoption of drones in military, commercial, and recreational sectors, the need to address cybersecurity concerns has become increasingly urgent. In this book, cybersecurity specialists collaborate to present a multifaceted approach to tackling the unique challenges posed by drones. They delve into essential topics such as establishing robust encryption and authentication systems, conducting regular vulnerability assessments, enhancing software security, advocating industry-wide standards and best practices, and educating drone users about the inherent cybersecurity risks. As drones, or unmanned aerial vehicles (UAVs), gain popularity and are deployed for various applications, ranging from aerial photography and surveillance to delivery services and infrastructure inspections, this book emphasizes the criticality of safeguarding the security, integrity, and privacy of drone systems and the data they handle. It highlights the growing vulnerability of drones to cybersecurity threats as these devices become increasingly connected and integrated into our everyday lives. This book is an invaluable resource for drone manufacturers, government agencies, regulators, cybersecurity professionals, and academia and research institutions invested in understanding and mitigating the cybersecurity risks in the drone industry.
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 593
Book Description
Cybersecurity Issues and Challenges in the Drone Industry is a comprehensive exploration of the critical cybersecurity problems faced by the rapidly expanding drone industry. With the widespread adoption of drones in military, commercial, and recreational sectors, the need to address cybersecurity concerns has become increasingly urgent. In this book, cybersecurity specialists collaborate to present a multifaceted approach to tackling the unique challenges posed by drones. They delve into essential topics such as establishing robust encryption and authentication systems, conducting regular vulnerability assessments, enhancing software security, advocating industry-wide standards and best practices, and educating drone users about the inherent cybersecurity risks. As drones, or unmanned aerial vehicles (UAVs), gain popularity and are deployed for various applications, ranging from aerial photography and surveillance to delivery services and infrastructure inspections, this book emphasizes the criticality of safeguarding the security, integrity, and privacy of drone systems and the data they handle. It highlights the growing vulnerability of drones to cybersecurity threats as these devices become increasingly connected and integrated into our everyday lives. This book is an invaluable resource for drone manufacturers, government agencies, regulators, cybersecurity professionals, and academia and research institutions invested in understanding and mitigating the cybersecurity risks in the drone industry.
Sustainability Research 2021
Author: Hermann Witte
Publisher: LIT Verlag Münster
ISBN: 3643151691
Category :
Languages : de
Pages :
Book Description
Publisher: LIT Verlag Münster
ISBN: 3643151691
Category :
Languages : de
Pages :
Book Description
IoT, UAV, BCI Empowered Deep Learning models in Precision Agriculture
Author: José Dias Pereira
Publisher: Frontiers Media SA
ISBN: 283254892X
Category : Science
Languages : en
Pages : 245
Book Description
Machine vision applications in precision agriculture have attracted a great deal of attention. They focus on monitoring, protection, and management of various plant populations. These applications have shown potential value in reforming crucial components of plant production, including fine-grained ripeness recognition of all kinds of plants and detecting and classifying weeds, seeds, and pests for crop health, quality, and quantity enhancement. In recent decades, the extensive achievements of deep learning techniques have shown significant opportunities for almost all fields. Accordingly, many deep learning models have been presented for different types of images and have achieved promising outcomes. The deep learning-based approaches can contribute to gaining insights into the plants' inherent characteristics and the surrounding environmental elements. This research topic's primary value is providing a platform for deep learning-based applications for precision agriculture. These applications can be fairly evaluated and compared with each other. Accordingly, more effective and efficient detection and classification approaches for precision agriculture can be developed or optimized.
Publisher: Frontiers Media SA
ISBN: 283254892X
Category : Science
Languages : en
Pages : 245
Book Description
Machine vision applications in precision agriculture have attracted a great deal of attention. They focus on monitoring, protection, and management of various plant populations. These applications have shown potential value in reforming crucial components of plant production, including fine-grained ripeness recognition of all kinds of plants and detecting and classifying weeds, seeds, and pests for crop health, quality, and quantity enhancement. In recent decades, the extensive achievements of deep learning techniques have shown significant opportunities for almost all fields. Accordingly, many deep learning models have been presented for different types of images and have achieved promising outcomes. The deep learning-based approaches can contribute to gaining insights into the plants' inherent characteristics and the surrounding environmental elements. This research topic's primary value is providing a platform for deep learning-based applications for precision agriculture. These applications can be fairly evaluated and compared with each other. Accordingly, more effective and efficient detection and classification approaches for precision agriculture can be developed or optimized.
Handbook of Research on Global Networking Post COVID-19
Author: Pego, Ana
Publisher: IGI Global
ISBN: 1799888584
Category : Business & Economics
Languages : en
Pages : 624
Book Description
Management methodology and its applicability in society has changed drastically during the COVID-19 pandemic. Organizations have had to adopt new forms of resilience based on the needs of a different consumer. The COVID-19 market is a challenge for both producers and consumers as it meets new needs and a new capacity of merchandising. The Handbook of Research on Global Networking Post-COVID-19 fully unleashes the broad potential of entrepreneurial activity by exploring and highlighting new businesses and, as a result, the well-being of millions of people globally throughout the COVID-19 pandemic and prospects for the future. Delving into topics such as student empowerment, economic sectors, and personal finance, this book is an essential resource for managers, CEOs, consultants, faculty of higher education, students, researchers, policymakers, and academicians.
Publisher: IGI Global
ISBN: 1799888584
Category : Business & Economics
Languages : en
Pages : 624
Book Description
Management methodology and its applicability in society has changed drastically during the COVID-19 pandemic. Organizations have had to adopt new forms of resilience based on the needs of a different consumer. The COVID-19 market is a challenge for both producers and consumers as it meets new needs and a new capacity of merchandising. The Handbook of Research on Global Networking Post-COVID-19 fully unleashes the broad potential of entrepreneurial activity by exploring and highlighting new businesses and, as a result, the well-being of millions of people globally throughout the COVID-19 pandemic and prospects for the future. Delving into topics such as student empowerment, economic sectors, and personal finance, this book is an essential resource for managers, CEOs, consultants, faculty of higher education, students, researchers, policymakers, and academicians.
Remote Sensing for Field-based Crop Phenotyping
Author: Jiangang Liu
Publisher: Frontiers Media SA
ISBN: 2832544304
Category : Science
Languages : en
Pages : 274
Book Description
Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments
Publisher: Frontiers Media SA
ISBN: 2832544304
Category : Science
Languages : en
Pages : 274
Book Description
Dynamic monitoring of crop phenotypic traits (e.g., LAI, plant height, biomass, nitrogen, yield et al.) is essential for exploring crop growth patterns, breeding new varieties, and determining optimized strategies for crop management. Traditional methods for determining crop phenotypic traits are mainly based on field sampling, handheld instrument measurement, and mechanized high-throughput platforms, which are time-consuming, and have low efficiency and incomplete spatial coverage. The development of crop science requires more rapid and accurate access to field-based crop phenotypes. Remote sensing provides a novel solution to quantify crop structural and functional traits in a timely, rapid, non-invasive and efficient manner. With the development of burgeoning remote sensing sensors and diversified algorithms, a range of crop phenotypic traits have been determined, including morphological parameters, spectral and textural characteristics, physiological traits, and responses to abiotic/biotic stresses in different environments. In addition, research advances in varying disciplines beyond agricultural sciences, such as engineering, computer science, molecular biology, and bioinformatics, have brought new opportunities for further development of remote sensing-based methods and technologies to gain more quantitative information on crop structure and function in complex environments