Computer Vision and Machine Learning in Agriculture

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  • Author : Mohammad Shorif Uddin
  • Publisher : Springer Nature
  • Pages : pages
  • ISBN : 9813364246
  • Rating : /5 from reviews
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Artificial Intelligence for Biology and Agriculture

Artificial Intelligence for Biology and Agriculture
  • Author : S. Panigrahi,K.C. Ting
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
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This volume contains a total of thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent modeling, neural networks and fuzzy logic. There are two general articles on robotics and fuzzy logic. The article on robotics focuses on the application of robotics technology in plant production. The second article on fuzzy logic provides a general overview of the basics of fuzzy logic and a typical agricultural application of fuzzy logic. The article `End effectors

Information Modelling and Knowledge Bases XXXI

Information Modelling and Knowledge Bases XXXI
  • Author : A. Dahanayake,J. Huiskonen,Y. Kiyoki
  • Publisher : IOS Press
  • Release : 06 January 2020
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Information modeling and knowledge bases have become an important area of academic and industry research in the 21st century, addressing complexities of modeling that reach beyond the traditional borders of information systems and academic computer science research. This book presents 32 reviewed, selected and updated papers delivered at the 29th International Conference on Information Modeling and Knowledge Bases (EJC2019), held in Lappeenranta, Finland, from 3 to 7 June 2019. In addition, two papers based on the keynote presentations and one paper edited from the

Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture
  • Author : Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 08 February 2021
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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

Computer Vision Based Agriculture Engineering

Computer Vision Based Agriculture Engineering
  • Author : Han Zhongzhi
  • Publisher : CRC Press
  • Release : 16 September 2019
GET THIS BOOK Computer Vision Based Agriculture Engineering

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

Applications of Image Processing and Soft Computing Systems in Agriculture

Applications of Image Processing and Soft Computing Systems in Agriculture
  • Author : Razmjooy, Navid,Estrela, Vania Vieira
  • Publisher : IGI Global
  • Release : 22 February 2019
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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

Building Agriculture AI System with Data Fusion and Computer Vision

Building Agriculture AI System with Data Fusion and Computer Vision
  • Author : Wei Zhao
  • Publisher : Unknown
  • Release : 20 April 2021
GET THIS BOOK Building Agriculture AI System with Data Fusion and Computer Vision

Smart farming and precision agriculture have been researched to increase crop production with fewer inputs, as a promising means to meet the growing demand for agricultural products. Several applications of artificial intelligence (AI) are already developed for use in agriculture and farming purposes and it is anticipated that uses of "AI farming" will assist the agriculture sector in the future to drive more efficient production.To understand how to leverage the advantages of smart farming systems in developing innovative farming

Applications of Remote Image Capture System in Agriculture

Applications of Remote Image Capture System in Agriculture
  • Author : Ginés García-Mateos,José Miguel Molina-Martínez
  • Publisher : MDPI
  • Release : 04 December 2020
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Remote image capture systems are a key element in efficient and sustainable agriculture nowadays. They are increasingly being used to obtain information of interest from the crops, the soil and the environment. It includes different types of capturing devices: from satellites and drones, to in-field devices; different types of spectral information, from visible RGB images, to multispectral images; different types of applications; and different types of techniques in the areas of image processing, computer vision, pattern recognition and machine learning.

15th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2020

15th International Conference on Soft Computing Models in Industrial and Environmental Applications  SOCO 2020
  • Author : Álvaro Herrero,Carlos Cambra,Daniel Urda,Javier Sedano,Héctor Quintián,Emilio Corchado
  • Publisher : Springer Nature
  • Release : 28 August 2020
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This book contains accepted papers presented at SOCO 2020 conference held in the beautiful and historic city of Burgos (Spain), in September 2020. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2020 International Program Committee selected 83 papers which are published in these conference proceedings and represents an acceptance rate of 35%. Due to the COVID-19 outbreak,

Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Image Processing and Pattern Recognition
  • Author : K. C. Santosh,Ravindra S. Hegadi
  • Publisher : Springer
  • Release : 16 July 2019
GET THIS BOOK Recent Trends in Image Processing and Pattern Recognition

This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis;

Proceedings of 3rd International Conference on Computer Vision and Image Processing

Proceedings of 3rd International Conference on Computer Vision and Image Processing
  • Author : Bidyut B. Chaudhuri,Masaki Nakagawa,Pritee Khanna,Sanjeev Kumar
  • Publisher : Springer Nature
  • Release : 31 October 2019
GET THIS BOOK Proceedings of 3rd International Conference on Computer Vision and Image Processing

This book is a collection of carefully selected works presented at the Third International Conference on Computer Vision & Image Processing (CVIP 2018). The conference was organized by the Department of Computer Science and Engineering of PDPM Indian Institute of Information Technology, Design & Manufacturing, Jabalpur, India during September 29–October 01, 2018. All the papers have been rigorously reviewed by the experts from the domain. This 2 volume proceedings include technical contributions in the areas of Image/Video Processing and Analysis; Image/Video Formation and Display;