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Author : Diedre Young
Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (124 download)
Download or read book Learning Computer Science the Agricultural Way written by Diedre Young and published by . This book was released on 20?? with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mohammad Shorif Uddin
Publisher : Springer Nature
ISBN 13 : 9811699917
Total Pages : 269 pages
Book Rating : 4.8/5 (116 download)
Download or read book Computer Vision and Machine Learning in Agriculture, Volume 2 written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2022-03-13 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is as an extension of previous book “Computer Vision and Machine Learning in Agriculture” for academicians, researchers, and professionals interested in solving the problems of agricultural plants and products for boosting production by rendering the advanced machine learning including deep learning tools and techniques to computer vision algorithms. The book contains 15 chapters. The first three chapters are devoted to crops harvesting, weed, and multi-class crops detection with the help of robots and UAVs through machine learning and deep learning algorithms for smart agriculture. Next, two chapters describe agricultural data retrievals and data collections. Chapters 6, 7, 8 and 9 focuses on yield estimation, crop maturity detection, agri-food product quality assessment, and medicinal plant recognition, respectively. The remaining six chapters concentrates on optimized disease recognition through computer vision-based machine and deep learning strategies.
Author : Jyotir Moy Chatterjee
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110691280
Total Pages : 454 pages
Book Rating : 4.1/5 (16 download)
Download or read book Internet of Things and Machine Learning in Agriculture written by Jyotir Moy Chatterjee and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-02-08 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.
Author : Jennifer Culp
Publisher : The Rosen Publishing Group, Inc
ISBN 13 : 1508183848
Total Pages : 82 pages
Book Rating : 4.5/5 (81 download)
Download or read book Using Computer Science in Agribusiness written by Jennifer Culp and published by The Rosen Publishing Group, Inc. This book was released on 2018-12-15 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: The business of agriculture has historically been low-tech. However, computer science has revolutionized this industry. In this fascinating book, future coders will learn about innovations in agriculture such as robotics, self-driving tractors, automated irrigation systems, aerial and ground-based monitoring tools, drone and satellite surveillance, air and soil sensors, and artificial intelligence, which are aiding in feeding the world. All of these technologies need software to run and coders to create it. Readers will learn how to enter the industry and what kind of education is needed for these specific fields.
Author : Senthilnathan, Karthikrajan
Publisher : IGI Global
ISBN 13 : 1799821102
Total Pages : 332 pages
Book Rating : 4.7/5 (998 download)
Download or read book Deep Learning Applications and Intelligent Decision Making in Engineering written by Senthilnathan, Karthikrajan and published by IGI Global. This book was released on 2020-10-23 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is a pivotal reference source that provides practical applications of deep learning to improve decision-making methods and construct smart environments. Highlighting topics such as smart transportation, e-commerce, and cyber physical systems, this book is ideally designed for engineers, computer scientists, programmers, software engineers, research scholars, IT professionals, academicians, and postgraduate students seeking current research on the implementation of automation and deep learning in various engineering disciplines.
Author : Rajesh Singh
Publisher : CRC Press
ISBN 13 : 1000506215
Total Pages : 186 pages
Book Rating : 4.0/5 (5 download)
Download or read book Artificial Intelligence in Agriculture written by Rajesh Singh and published by CRC Press. This book was released on 2021-11-23 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a platform for anyone who wishes to explore Artificial Intelligence in the field of agriculture from scratch or broaden their understanding and its uses. This book offers a practical, hands-on exploration of Artificial Intelligence, machine learning, deep Learning, computer vision and Expert system with proper examples to understand. This book also covers the basics of python with example so that any anyone can easily understand and utilize artificial intelligence in agriculture field. This book is divided into two parts wherein first part talks about the artificial intelligence and its impact in the agriculture with all its branches and their basics. The second part of the book is purely implementation of algorithms and use of different libraries of machine learning, deep learning and computer vision to build useful and sightful projects in real time which can be very useful for you to have better understanding of artificial intelligence. After reading this book, the reader will an understanding of what Artificial Intelligence is, where it is applicable, and what are its different branches, which can be useful in different scenarios. The reader will be familiar with the standard workflow for approaching and solving machine-learning problems, and how to address commonly encountered issues. The reader will be able to use Artificial Intelligence to tackle real-world problems ranging from crop health prediction to field surveillance analytics, classification to recognition of species of plants etc. Note: T&F does not sell or distribute the hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. This title is co-published with NIPA.
Author : Mohammad Ayoub Khan
Publisher : Academic Press
ISBN 13 : 0323906680
Total Pages : 332 pages
Book Rating : 4.3/5 (239 download)
Download or read book Application of Machine Learning in Agriculture written by Mohammad Ayoub Khan and published by Academic Press. This book was released on 2022-05-14 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Machine Learning in Smart Agriculture is the first book to present a multidisciplinary look at how technology can not only improve agricultural output, but the economic efficiency of that output as well. Through a global lens, the book approaches the subject from a technical perspective, providing important knowledge and insights for effective and efficient implementation and utilization of machine learning. As artificial intelligence techniques are being used to increase yield through optimal planting, fertilizing, irrigation, and harvesting, these are only part of the complex picture which must also take into account the economic investment and its optimized return. The performance of machine learning models improves over time as the various mathematical and statistical models are proven. Presented in three parts, Application of Machine Learning in Smart Agriculture looks at the fundamentals of smart agriculture; the economics of the technology in the agricultural marketplace; and a diverse representation of the tools and techniques currently available, and in development. This book is an important resource for advanced level students and professionals working with artificial intelligence, internet of things, technology and agricultural economics. Addresses the technology of smart agriculture from a technical perspective Reveals opportunities for technology to improve and enhance not only yield and quality, but the economic value of a food crop Discusses physical instruments, simulations, sensors, and markets for machine learning in agriculture
Author : Arlin J. Brannstrom
Publisher :
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4.:/5 (89 download)
Download or read book Computer Competence for Agricultural Students and Faculty written by Arlin J. Brannstrom and published by . This book was released on 1984 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Amitava Choudhury
Publisher : John Wiley & Sons
ISBN 13 : 1119768845
Total Pages : 304 pages
Book Rating : 4.1/5 (197 download)
Download or read book Agricultural Informatics written by Amitava Choudhury and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Daoliang Li
Publisher : Springer
ISBN 13 : 0387772510
Total Pages : 722 pages
Book Rating : 4.3/5 (877 download)
Download or read book Computer and Computing Technologies in Agriculture, Volume I written by Daoliang Li and published by Springer. This book was released on 2008-02-26 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume comprise the refereed proceedings of the the First International Conference on Computer and Computing Technologies in Ag- culture (CCTA 2007), in Wuyishan, China, 2007. This conference is organized by China Agricultural University, Chinese Society of Agricultural Engineering and the Beijing Society for Information Technology in Agriculture. The purpose of this conference is to facilitate the communication and cooperation between institutions and researchers on theories, methods and implementation of computer science and information technology. By researching information technology development and the - sources integration in rural areas in China, an innovative and effective approach is expected to be explored to promote the technology application to the development of modern agriculture and contribute to the construction of new countryside. The rapid development of information technology has induced substantial changes and impact on the development of China’s rural areas. Western thoughts have exerted great impact on studies of Chinese information technology devel- ment and it helps more Chinese and western scholars to expand their studies in this academic and application area. Thus, this conference, with works by many prominent scholars, has covered computer science and technology and information development in China’s rural areas; and probed into all the important issues and the newest research topics, such as Agricultural Decision Support System and Expert System, GIS, GPS, RS and Precision Farming, CT applications in Rural Area, Agricultural System Simulation, Evolutionary Computing, etc.
Author : Nathan Roth
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (144 download)
Download or read book Computer Science in the Rural Classroom written by Nathan Roth and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Students from rural places participate in computer science less than their urban and suburban peers (Google & Gallup, 2016). While current research into this phenomenon is in its infancy, research of other underrepresented populations has indicated utilizing culturally responsive computing may increase participation. In rural Nebraska and in much of the Midwest, agriculture is a very important cultural pillar. Accordingly, this thesis looks for potential overlap between computer science education and agricultural education. Eleven teachers were interviewed and ninety teachers were surveyed about their experiences with computer science applications in agriculture. Ultimately, the support for increased CS applications in agricultural classrooms is nearly universal, but teachers do point out some possible obstacles in implementing cross-curricular experiences. There is optimism that giving students hands-on experiences with modern computer-based agriculture technology may be a culturally responsive way to generate rural students interest in CS.
Author : Valentina Emilia Balas
Publisher : Springer Nature
ISBN 13 : 9811574219
Total Pages : 302 pages
Book Rating : 4.8/5 (115 download)
Download or read book Intelligent Computing and Networking written by Valentina Emilia Balas and published by Springer Nature. This book was released on 2020-10-22 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2020), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 28–29, 2020. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human–machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics and blockchain technology.
Author : Han Zhongzhi
Publisher : CRC Press
ISBN 13 : 1000691616
Total Pages : 349 pages
Book Rating : 4.0/5 (6 download)
Download or read book Computer Vision-Based Agriculture Engineering written by Han Zhongzhi and published by CRC Press. This book was released on 2019-09-16 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, computer vision is a fast-growing technique of agricultural engineering, especially in quality detection of agricultural products and food safety testing. It can provide objective, rapid, non-contact and non-destructive methods by extracting quantitative information from digital images. Significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. Computer Vision-Based Agriculture Engineering focuses on these advances. The book contains 25 chapters covering computer vision, image processing, hyperspectral imaging and other related technologies in peanut aflatoxin, peanut and corn quality varieties, and carrot and potato quality, as well as pest and disease detection. Features: Discusses various detection methods in a variety of agricultural crops Each chapter includes materials and methods used, results and analysis, and discussion with conclusions Covers basic theory, technical methods and engineering cases Provides comprehensive coverage on methods of variety identification, quality detection and detection of key indicators of agricultural products safety Presents information on technology of artificial intelligence including deep learning and transfer learning Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in all 25 chapters of this book. This unique work provides students, engineers and technologists working in research, development, and operations in agricultural engineering with critical, comprehensive and readily accessible information. It applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing.
Author : Ramesh Chandra Poonia
Publisher : Academic Press
ISBN 13 : 0323903622
Total Pages : 408 pages
Book Rating : 4.3/5 (239 download)
Download or read book Deep Learning for Sustainable Agriculture written by Ramesh Chandra Poonia and published by Academic Press. This book was released on 2022-01-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain
Author : Mohammad Ayoub Khan
Publisher : CRC Press
ISBN 13 : 1000382567
Total Pages : 926 pages
Book Rating : 4.0/5 (3 download)
Download or read book Smart Computing written by Mohammad Ayoub Khan and published by CRC Press. This book was released on 2021-06-22 with total page 926 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud computing, optimisations, modelling techniques, Internet of Things, data analytics, and Smart Grids among others, that are all new fields. It is an applied and multi-disciplinary subject with a focus on Specific, Measurable, Achievable, Realistic & Timely system operations combined with Machine intelligence & Real-Time computing. It is not possible for any one person to comprehensively cover all aspects relevant to SMART Computing in a limited-extent work. Therefore, these conference proceedings address various issues through the deliberations by distinguished Professors and researchers. The SMARTCOM 2020 proceedings contain tracks dedicated to different areas of smart technologies such as Smart System and Future Internet, Machine Intelligence and Data Science, Real-Time and VLSI Systems, Communication and Automation Systems. The proceedings can be used as an advanced reference for research and for courses in smart technologies taught at graduate level.
Author : Sally Lin
Publisher : Springer
ISBN 13 : 3642233457
Total Pages : 635 pages
Book Rating : 4.6/5 (422 download)
Download or read book Advances in Computer Science, Environment, Ecoinformatics, and Education, Part III written by Sally Lin and published by Springer. This book was released on 2011-08-20 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 5-volume set (CCIS 214-CCIS 218) constitutes the refereed proceedings of the International Conference on Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011, held in Wuhan, China, in July 2011. The 525 revised full papers presented in the five volumes were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on information security, intelligent information, neural networks, digital library, algorithms, automation, artificial intelligence, bioinformatics, computer networks, computational system, computer vision, computer modelling and simulation, control, databases, data mining, e-learning, e-commerce, e-business, image processing, information systems, knowledge management and knowledge discovering, mulitimedia and its apllication, management and information system, moblie computing, natural computing and computational intelligence, open and innovative education, pattern recognition, parallel and computing, robotics, wireless network, web application, other topics connecting with computer, environment and ecoinformatics, modeling and simulation, environment restoration, environment and energy, information and its influence on environment, computer and ecoinformatics, biotechnology and biofuel, as well as biosensors and bioreactor.
Author : Paul Graham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596006624
Total Pages : 272 pages
Book Rating : 4.5/5 (96 download)
Download or read book Hackers & Painters written by Paul Graham and published by "O'Reilly Media, Inc.". This book was released on 2004-05-18 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author examines issues such as the rightness of web-based applications, the programming language renaissance, spam filtering, the Open Source Movement, Internet startups and more. He also tells important stories about the kinds of people behind technical innovations, revealing their character and their craft.
