Agro Geoinformatics
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| Author | : Liping Di |
| Publisher | : Springer Nature |
| Total Pages | : 418 |
| Release | : 2021-04-12 |
| Genre | : Science |
| ISBN | : 3030663876 |
This volume collects and presents the fundamentals, tools, and processes of utilizing geospatial information technologies to process remotely sensed data for use in agricultural monitoring and management. The issues related to handling digital agro-geoinformation, such as collecting (including field visits and remote sensing), processing, storing, archiving, preservation, retrieving, transmitting, accessing, visualization, analyzing, synthesizing, presenting, and disseminating agro-geoinformation have never before been systematically documented in one volume. The book is edited by International Conference on Agro-Geoinformatics organizers Dr. Liping Di (George Mason University), who coined the term “Agro-Geoinformatics” in 2012, and Dr. Berk Üstündağ (Istanbul Technical University) and are uniquely positioned to curate and edit this foundational text. The book is composed of eighteen chapters that can each stand alone but also build on each other to give the reader a comprehensive understanding of agro-geoinformatics and what the tools and processes that compose the field can accomplish. Topics covered include land parcel identification, image processing in agricultural observation systems, databasing and managing agricultural data, crop status monitoring, moisture and evapotranspiration assessment, flood damage monitoring, agricultural decision support systems and more.
| Author | : Vishnu D. Rajput |
| Publisher | : CRC Press |
| Total Pages | : 388 |
| Release | : 2024-11-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1040091245 |
Geoinformatics is a cutting-edge tool that develops and uses information science technology that can have far-reaching implications that include boosting agricultural output, increasing food supply, and reducing hunger-related problems in poor and developing countries. This new book, Geoinformatics: An Emerging Approach for Sustainable Crop Production and Food Security, highlights the many applications of geoinformatics in agriculture, mainly its potential to improve agricultural systems and environmental issues through innovative, eco-friendly approaches. The book is divided into seven sections. Part I contains foundational material on the field of geoinformatics. Part II discusses the role of geoinformatics in agriculture and food security. Part III serves broad knowledge about geoinformatics-based crop screening and protection. Part IV explains how geoinformatics integrates big data and AI for sustainable agriculture and horticulture. Part V deals with geoinformatics and fertilizers and base management of soil fertility. In Part VI, cutting-edge GIS methods are discussed for abiotic stresses management and climate change. The final section discusses the application of geoinformatics for policymaking and the impact of geoinformatics and climate change on agriculture systems. Providing state-of-the-art knowledge on both theoretical and applied aspects of nanotechnology in soil science, plant breeding, biotechnology, tools design, formulation, application, and management, as well as the effects of these tools on soil properties and plant characteristics, and some abiotic interactions, this new volume will prove invaluable for graduate students, researchers, and professionals in agricultural and related disciplines as well as policymakers.
| Author | : Deepak Kumar |
| Publisher | : Elsevier |
| Total Pages | : 310 |
| Release | : 2024-11-15 |
| Genre | : Science |
| ISBN | : 0443235961 |
Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity. Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
| Author | : Elmer P. Dadios |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 142 |
| Release | : 2022-05-25 |
| Genre | : Technology & Engineering |
| ISBN | : 1839691735 |
Advances in automation and control today cover many areas of technology where human input is minimized. This book discusses numerous types and applications of automation and control. Chapters address topics such as building information modeling (BIM)–based automated code compliance checking (ACCC), control algorithms useful for military operations and video games, rescue competitions using unmanned aerial-ground robots, and stochastic control systems.
| Author | : |
| Publisher | : Elsevier |
| Total Pages | : 1488 |
| Release | : 2017-07-21 |
| Genre | : Science |
| ISBN | : 0128047933 |
Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources
| Author | : Prasad S. Thenkabail |
| Publisher | : CRC Press |
| Total Pages | : 510 |
| Release | : 2024-11-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1040203450 |
Volume VI of the Six Volume Remote Sensing Handbook, Second Edition, is focused on the use of remote sensing in the assessment and monitoring of droughts, dry lands, biomass burning, disasters such as volcanoes and fires, and urban studies and nightlights. It discusses land degradation assessment and monitoring, greenhouse gas (GHG) emissions, and pollution from nightlights in megacities. Chapters include remote sensing of agricultural droughts, including US drought monitoring, dryland studies, coal fires, biomass burning and GHG emissions, volcanoes, humanitarian disasters, smart cities, and night lights mapping. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in remote sensing and provides an essential resource for researchers at all levels interested in using remote sensing. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context. FEATURES Provides the most up-to-date comprehensive coverage of remote sensing science for droughts, disasters, and GHG emissions. Discusses and analyzes data from old and new generations of sensors. Highlights remote sensing of agricultural droughts, humanitarian and natural disasters, and GHG emissions from coal and stubble burning. Includes numerous case studies on advances and applications at local, regional, and global scales. Introduces advanced methods in remote sensing, such as machine learning, cloud computing, and AI. Highlights scientific achievements over the last decade and provides guidance for future developments. This volume is an excellent resource for the entire remote sensing and GIS community. Academics, researchers, undergraduate and graduate students, as well as practitioners, decision makers, and policymakers, will benefit from the expertise of the professionals featured in this book and their extensive knowledge of new and emerging trends.
| Author | : Qamar Zaman |
| Publisher | : Elsevier |
| Total Pages | : 292 |
| Release | : 2023-05-18 |
| Genre | : Business & Economics |
| ISBN | : 0443189544 |
Precision Agriculture: Evolution, Insights and Emerging Trends presents a complete guide from foundational concepts to the economic, commercial and environmental implications of the approach. Showcasing recent research improvements, future trends, and highlighting innovative use of machine vision, artificial intelligence, UAVs, drones, IoT and data analytics to promote sustainable agriculture, the book brings the reader up-to-date with understanding and implementing this targeted practice. From the basic elements of agronomy to insights on reflectance and remote sensing indices, chapters use summary abstracts, case studies and real-world examples of implementing the tools of precision agriculture (PA) to demonstrate the latest advances. It includes explanations on the origin of the intra-plot variability of a culture (spatial and temporal), different types of existing sensors, controllers and site-specific management. The book further explores yield monitoring, weed, disease and pest control, automated irrigation systems, PA tools for variable rate application of inputs within the field, and data processing methods. By also exploring the economic profitability of precision farming approaches, and its utility for sustainable agriculture, Precision Agriculture: Evolution, Insights and Emerging Trends is a truly comprehensive view of this important approach to improving global agriculture production. Scientists, researchers, policymakers, graduate and postgraduate students, and engineers in the related fields of agriculture, computer science and engineering will benefit from this book. - Addresses soil, machinery, plants, irrigation, sensors, UAVs and more - Explores current and future technologies in the field of Precision Agriculture - Details comprehensive cost-benefit analysis for governments and other policymakers to incentivize and promote precision agriculture technology
| Author | : Ghosh, A., Mushtaq, F., Jalal, R., Henry, M., Adhikari, S., Hove, L., Kassa, S., Gauny, J., Barelli, D., Merzouk, Q., Moloinyane, S., Muchoney, D. |
| Publisher | : Food & Agriculture Org. |
| Total Pages | : 96 |
| Release | : 2022-08-18 |
| Genre | : Science |
| ISBN | : 9251366632 |
South Africa is the southern most country on the African continent with the 121 309 ha of land area and highly dependent on agriculture sector (79 percent of agricultural land area) for food, income, and employment. Natural disasters like drought, floods, storms, cyclones etc. causes significant socio-economic damages and losses, as well as negatively impacting the agricultural sector. From 11–13 April 2022, heavy rainfall caused severe flooding and landslides affecting the south and south-eastern part of South Africa. Particularly, in the Provinces of KwaZulu-Natal and Eastern Cape, authorities reported loss of lives, infrastructure damages and inundated cropland. Disaster Charter 755 was activated for South Africa. From 19–20 April, moderate rainfall waa forecast over north-eastern South Africa, while no heavy rainfall was expected over the already affected Provinces. In this context, the Food and Agriculture Organization of the United Nations (FAO) Geospatial Unit of the Land and Water Division (NSL) with support from SFS REOSA conducted a rapid geospatial assessment on crops and the exposure of rural people during the period 10–20 April 2022. This assessment provides information at the district, local municipalities and ward levels in the area of interest (AOI). This analysis combines Sentinel 1 (S1) Synthetic Aperture Radar (SAR) and Sentinel 2 (S2) imagery (both at a 10 m spatial resolution) with Planet imagery (5 m spatial resolution) and 2020 population data from Worldpop (100 m spatial resolution) to determine: (1) flood extent; (2) cropland area; (3) flooded crop area; and (4) exposure of population to flooded cropland. The results are provided in the form of maps by administrative units and tabular with descriptive statistics for the aforementioned indicators. With recent advances in geospatial and information technologies and updated land cover maps, crop specific information adapted to national conditions with tailored field campaigns have the potential to better support response programmes and agricultural development in the future. The key findings from this rapid assessment are that for Area of Interest (AOI): 1) total flooded area in the Province of Eastern Cape is 373 868 ha and in the Province of KwaZulu-Natal is 137 601 ha; 2) total cropland area estimated in Area of Interest is 1 386 941 ha; 3) overall inundated cropland is 51 601 ha (4 percent of the total land in AOI); and 4) the most affected districts in respect to people exposure to floods are Cacadu (54 616).
| Author | : Simar Preet Singh |
| Publisher | : CRC Press |
| Total Pages | : 328 |
| Release | : 2021-12-19 |
| Genre | : Computers |
| ISBN | : 1000509974 |
The book intends to cover various problematic aspects of emerging smart computing and self-adapting technologies comprising of machine learning, artificial intelligence, deep learning, robotics, cloud computing, fog computing, data mining algorithms, including emerging intelligent and smart applications related to these research areas. Further coverage includes implementation of self-adaptation architecture for smart devices, self-adaptive models for smart cities and self-driven cars, decentralized self-adaptive computing at the edge networks, energy-aware AI-based systems, M2M networks, sensors, data analytics, algorithms and tools for engineering self-adaptive systems, and so forth. Acts as guide to Self-healing and Self-adaptation based fully automatic future technologies Discusses about Smart Computational abilities and self-adaptive systems Illustrates tools and techniques for data management and explains the need to apply, and data integration for improving efficiency of big data Exclusive chapter on the future of self-stabilizing and self-adaptive systems of systems Covers fields such as automation, robotics, medical sciences, biomedical and agricultural sciences, healthcare and so forth This book is aimed researchers and graduate students in machine learning, information technology, and artificial intelligence.
| Author | : Pankaj Verma |
| Publisher | : Springer Nature |
| Total Pages | : 703 |
| Release | : 2022-03-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9811684030 |
This book is a collection of high-quality peer reviewed contributions from the academicians, researchers, practitioners, and industry professionals, accepted in the International Conference on Advances in Data Computing, Communication and Security (I3CS2021) organized by the Department of Electronics and Communication Engineering in collaboration with the Department of Computer Engineering, National Institute of Technology, Kurukshetra, India during 08-10 Sep 2021. The fast pace of advancing technologies and growing expectations of the next-generation requires that the researchers must continuously reinvent themselves through new investigations and development of the new products. The theme of this conference is devised as "Embracing Innovations" for the next-generation data computing and secure communication system.
