Data Mining In Agriculture

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Data Mining in Agriculture

Author : Antonio Mucherino
Publisher : Springer Science & Business Media
ISBN 13 : 038788615X
Total Pages : 284 pages
Book Rating : 4.3/5 (878 download)

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Book Synopsis Data Mining in Agriculture by : Antonio Mucherino

Download or read book Data Mining in Agriculture written by Antonio Mucherino and published by Springer Science & Business Media. This book was released on 2009-09-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in MATLAB®.

Intelligent Data Mining and Fusion Systems in Agriculture

Author : Xanthoula-Eirini Pantazi
Publisher : Academic Press
ISBN 13 : 0128143924
Total Pages : 334 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Intelligent Data Mining and Fusion Systems in Agriculture by : Xanthoula-Eirini Pantazi

Download or read book Intelligent Data Mining and Fusion Systems in Agriculture written by Xanthoula-Eirini Pantazi and published by Academic Press. This book was released on 2019-10-08 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. - Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agriculture - Addresses AI use in weed management, disease detection, yield prediction and crop production - Utilizes case studies to provide real-world insights and direction

Applications of Image Processing and Soft Computing Systems in Agriculture

Author : Razmjooy, Navid
Publisher : IGI Global
ISBN 13 : 152258028X
Total Pages : 358 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Applications of Image Processing and Soft Computing Systems in Agriculture by : Razmjooy, Navid

Download or read book Applications of Image Processing and Soft Computing Systems in Agriculture written by Razmjooy, Navid and published by IGI Global. This book was released on 2019-02-22 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The variety and abundance of qualitative characteristics of agricultural products have been the main reasons for the development of different types of non-destructive methods (NDTs). Quality control of these products is one of the most important tasks in manufacturing processes. The use of control and automation has become more widespread, and new approaches provide opportunities for production competition through new technologies. Applications of Image Processing and Soft Computing Systems in Agriculture examines applications of artificial intelligence in agriculture and the main uses of shape analysis on agricultural products such as relationships between form and genetics, adaptation, product characteristics, and product sorting. Additionally, it provides insights developed through computer vision techniques. Highlighting such topics as deep learning, agribusiness, and augmented reality, it is designed for academicians, researchers, agricultural practitioners, and industry professionals.

AI, Edge and IoT-based Smart Agriculture

Author : Ajith Abraham
Publisher : Academic Press
ISBN 13 : 0128236957
Total Pages : 578 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis AI, Edge and IoT-based Smart Agriculture by : Ajith Abraham

Download or read book AI, Edge and IoT-based Smart Agriculture written by Ajith Abraham and published by Academic Press. This book was released on 2021-11-10 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and 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, and smart farming. The book 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 and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers 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 toward 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

Modern Techniques for Agricultural Disease Management and Crop Yield Prediction

Author : Pradeep, N.
Publisher : IGI Global
ISBN 13 : 1522596348
Total Pages : 310 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Modern Techniques for Agricultural Disease Management and Crop Yield Prediction by : Pradeep, N.

Download or read book Modern Techniques for Agricultural Disease Management and Crop Yield Prediction written by Pradeep, N. and published by IGI Global. This book was released on 2019-08-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since agriculture is one of the key parameters in assessing the gross domestic product (GDP) of any country, it has become crucial to transition from traditional agricultural practices to smart agriculture. New agricultural technologies provide numerous opportunities to maximize crop yield by recognizing and analyzing diseases and other natural variables that may affect it. Therefore, it is necessary to understand how computer-assisted technologies can best be utilized and adopted in the conversion to smart agriculture. Modern Techniques for Agricultural Disease Management and Crop Yield Prediction is an essential publication that widens the spectrum of computational methods that can aid in agriculture disease management, weed detection, and crop yield prediction. Featuring coverage on a wide range of topics such as soil and crop sensors, swarm robotics, and weed detection, this book is ideally designed for environmentalists, farmers, botanists, agricultural engineers, computer engineers, scientists, researchers, practitioners, and students seeking current research on technology and techniques for agricultural diseases and predictive trends.

Spatial Data Mining

Author : Deren Li
Publisher : Springer
ISBN 13 : 3662485389
Total Pages : 329 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Spatial Data Mining by : Deren Li

Download or read book Spatial Data Mining written by Deren Li and published by Springer. This book was released on 2016-03-23 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: · This book is an updated version of a well-received book previously published in Chinese by Science Press of China (the first edition in 2006 and the second in 2013). It offers a systematic and practical overview of spatial data mining, which combines computer science and geo-spatial information science, allowing each field to profit from the knowledge and techniques of the other. To address the spatiotemporal specialties of spatial data, the authors introduce the key concepts and algorithms of the data field, cloud model, mining view, and Deren Li methods. The data field method captures the interactions between spatial objects by diffusing the data contribution from a universe of samples to a universe of population, thereby bridging the gap between the data model and the recognition model. The cloud model is a qualitative method that utilizes quantitative numerical characters to bridge the gap between pure data and linguistic concepts. The mining view method discriminates the different requirements by using scale, hierarchy, and granularity in order to uncover the anisotropy of spatial data mining. The Deren Li method performs data preprocessing to prepare it for further knowledge discovery by selecting a weight for iteration in order to clean the observed spatial data as much as possible. In addition to the essential algorithms and techniques, the book provides application examples of spatial data mining in geographic information science and remote sensing. The practical projects include spatiotemporal video data mining for protecting public security, serial image mining on nighttime lights for assessing the severity of the Syrian Crisis, and the applications in the government project ‘the Belt and Road Initiatives’.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

Author : Annamaria Castrignano
Publisher : Academic Press
ISBN 13 : 0128183748
Total Pages : 472 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Agricultural Internet of Things and Decision Support for Precision Smart Farming by : Annamaria Castrignano

Download or read book Agricultural Internet of Things and Decision Support for Precision Smart Farming written by Annamaria Castrignano and published by Academic Press. This book was released on 2020-01-09 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Precision Agriculture Basics

Author : D. Kent Shannon
Publisher : John Wiley & Sons
ISBN 13 : 0891183663
Total Pages : 272 pages
Book Rating : 4.8/5 (911 download)

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Book Synopsis Precision Agriculture Basics by : D. Kent Shannon

Download or read book Precision Agriculture Basics written by D. Kent Shannon and published by John Wiley & Sons. This book was released on 2020-01-22 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing popularity and availability of precision equipment, farmers and producers have access to more data than ever before. With proper implementation, precision agriculture management can improve profitability and sustainability of production. Precision Agriculture Basics is geared at students, crop consultants, farmers, extension workers, and practitioners that are interested in practical applications of site-specific agricultural management. Using a multidisciplinary approach, readers are taught to make data-driven on-farm decisions using the most current knowledge and tools in crop science, agricultural engineering, and geostatistics. Precision Agriculture Basics also features a stunning video glossary including interviews with agronomists on the job and in the field.

IoT and Analytics for Agriculture

Author : Prasant Kumar Pattnaik
Publisher : Springer Nature
ISBN 13 : 9811391777
Total Pages : 250 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis IoT and Analytics for Agriculture by : Prasant Kumar Pattnaik

Download or read book IoT and Analytics for Agriculture written by Prasant Kumar Pattnaik and published by Springer Nature. This book was released on 2019-10-01 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Software Engineering Methods in Intelligent Algorithms

Author : Radek Silhavy
Publisher : Springer
ISBN 13 : 3030198073
Total Pages : 482 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Software Engineering Methods in Intelligent Algorithms by : Radek Silhavy

Download or read book Software Engineering Methods in Intelligent Algorithms written by Radek Silhavy and published by Springer. This book was released on 2019-05-07 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents software engineering methods in the context of the intelligent systems. It discusses real-world problems and exploratory research describing novel approaches and applications of software engineering, software design and algorithms. The book constitutes the refereed proceedings of the Software Engineering Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.

Agricultural Informatics

Author : Amitava Choudhury
Publisher : John Wiley & Sons
ISBN 13 : 1119769213
Total Pages : 304 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Agricultural Informatics by : Amitava Choudhury

Download or read book Agricultural Informatics written by Amitava Choudhury and published by John Wiley & Sons. This book was released on 2021-03-02 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.

Geostatistical Applications for Precision Agriculture

Author : Margaret A. Oliver
Publisher : Springer Science & Business Media
ISBN 13 : 9048191335
Total Pages : 337 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Geostatistical Applications for Precision Agriculture by : Margaret A. Oliver

Download or read book Geostatistical Applications for Precision Agriculture written by Margaret A. Oliver and published by Springer Science & Business Media. This book was released on 2010-07-27 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to bring together a series of contributions from experts in the field to cover the major aspects of the application of geostatistics in precision agriculture. The focus will not be on theory, although there is a need for some theory to set the methods in their appropriate context. The subject areas identified and the authors selected have applied the methods in a precision agriculture framework. The papers will reflect the wide range of methods available and how they can be applied practically in the context of precision agriculture. This book is likely to have more impact as it becomes increasingly possible to obtain data cheaply and more farmers use onboard digital maps of soil and crops to manage their land. It might also stimulate more software development for geostatistics in PA.

Deep Learning Applications and Intelligent Decision Making in Engineering

Author : Senthilnathan, Karthikrajan
Publisher : IGI Global
ISBN 13 : 1799821102
Total Pages : 332 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Deep Learning Applications and Intelligent Decision Making in Engineering by : Senthilnathan, Karthikrajan

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.

2017 International Conference on Intelligent Computing and Control (I2C2)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781538603758
Total Pages : pages
Book Rating : 4.6/5 (37 download)

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Book Synopsis 2017 International Conference on Intelligent Computing and Control (I2C2) by : IEEE Staff

Download or read book 2017 International Conference on Intelligent Computing and Control (I2C2) written by IEEE Staff and published by . This book was released on 2017-06-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks,Neuro fuzzy Control, Biomedical signal processing, Non linear control,Communication Techniques, Optimization Algorithm, Computer networks,PLC, SCADA based systems, Control System, Power Electronics & Drives, Distributed control systems, Power System, DSP and FPGA based systems,Process control, Electrical Machines, Renewable energy, Embedded systems & RTOS,RF sensors and MEMS, Evolutionary Algorithms,Robotics and Automation,Fuzzy expert systems,Sensor networks,Fuzzy logic control, Smart sensors,High Voltage Engineering,Soft computing,Hybrid intelligent systems,Speech and image processing,Intelligent automation,Swarm Intelligence, Intelligent instrumentation,System identification,Medical imaging,Virtual instrumentation,Memetic computing,VLSI,Modeling and Simulation,Wireless Communication, Multi objective optimization Airborne Vehicle Communication, Multivariable control Digital Multimedia Systems,Airborne Vehicle Communication Antenna Systems Telemetry

Artificial Intelligence and Smart Agriculture Technology

Author : Utku Kose
Publisher : CRC Press
ISBN 13 : 1000604373
Total Pages : 291 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Artificial Intelligence and Smart Agriculture Technology by : Utku Kose

Download or read book Artificial Intelligence and Smart Agriculture Technology written by Utku Kose and published by CRC Press. This book was released on 2022-06-27 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was created with the intention of informing an international audience about the latest technological aspects for developing smart agricultural applications. As artificial intelligence (AI) takes the main role in this, the majority of the chapters are associated with the role of AI and data analytics components for better agricultural applications. The first two chapters provide alternative, wide reviews of the use of AI, robotics, and the Internet of Things as effective solutions to agricultural problems. The third chapter looks at the use of blockchain technology in smart agricultural scenarios. In the fourth chapter, a future view is provided of an Internet of Things-oriented sustainable agriculture. Next, the fifth chapter provides a governmental evaluation of advanced farming technologies, and the sixth chapter discusses the role of big data in smart agricultural applications. The role of the blockchain is evaluated in terms of an industrial view under the seventh chapter, and the eighth chapter provides a discussion of data mining and data extraction, which is essential for better further analysis by smart tools. The ninth chapter evaluates the use of machine learning in food processing and preservation, which is a critical issue for dealing with issues concerns regarding insufficient foud sources. The tenth chapter also discusses sustainability, and the eleventh chapter focuses on the problem of plant disease prediction, which is among the critical agricultural issues. Similarly, the twelfth chapter considers the use of deep learning for classifying plant diseases. Finally, the book ends with a look at cyber threats to farming automation in the thirteenth chapter and a case study of India for a better, smart, and sustainable agriculture in the fourteenth chapter. This book presents the most critical research topics of today’s smart agricultural applications and provides a valuable view for both technological knowledge and ability that will be helpful to academicians, scientists, students who are the future of science, and industrial practitioners who collaborate with academia.

Challenges and Applications of Data Analytics in Social Perspectives

Author : Sathiyamoorthi, V.
Publisher : IGI Global
ISBN 13 : 179982568X
Total Pages : 324 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Applications of Data Analytics in Social Perspectives by : Sathiyamoorthi, V.

Download or read book Challenges and Applications of Data Analytics in Social Perspectives written by Sathiyamoorthi, V. and published by IGI Global. This book was released on 2020-12-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Integration of Cloud Computing with Internet of Things

Author : Monika Mangla
Publisher : John Wiley & Sons
ISBN 13 : 1119769302
Total Pages : 384 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Integration of Cloud Computing with Internet of Things by : Monika Mangla

Download or read book Integration of Cloud Computing with Internet of Things written by Monika Mangla and published by John Wiley & Sons. This book was released on 2021-03-08 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics. Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.