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AI, sensors and robotics in plant phenotyping and precision agriculture
  • Language: en
  • Pages: 367
Nature-Inspired Computation and Machine Learning
  • Language: en
  • Pages: 549

Nature-Inspired Computation and Machine Learning

  • Type: Book
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  • Published: 2014-11-05
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  • Publisher: Springer

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

Agricultural sensors and systems for field detection
  • Language: en
  • Pages: 264

Agricultural sensors and systems for field detection

None

Green, Pervasive, and Cloud Computing
  • Language: en
  • Pages: 269

Green, Pervasive, and Cloud Computing

This book constitutes the refereed proceedings of the 17th International Conference on Green, Pervasive, and Cloud Computing, GPC 2022, held in Chengdu, China, in December 2022. The 19 full papers presented in this book were carefully reviewed and selected from 104 submissions. GPC 2022 shares novel ideas and experiences in the areas of Green, Pervasive, and Cloud Computing.

Advances in Artificial Intelligence and Soft Computing
  • Language: en
  • Pages: 591

Advances in Artificial Intelligence and Soft Computing

  • Type: Book
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  • Published: 2015-11-19
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  • Publisher: Springer

The two volume set LNAI 9413 + LNAI 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.

Advances in Artificial Intelligence and Its Applications
  • Language: en
  • Pages: 638

Advances in Artificial Intelligence and Its Applications

  • Type: Book
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  • Published: 2015-11-19
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  • Publisher: Springer

The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca,. Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications.

Advanced AI Methods for Plant Disease and Pest Recognition
  • Language: en
  • Pages: 350

Advanced AI Methods for Plant Disease and Pest Recognition

Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.

Current Advances in Seagrass Research
  • Language: en
  • Pages: 185

Current Advances in Seagrass Research

None

Advanced Concepts for Intelligent Vision Systems
  • Language: en
  • Pages: 767

Advanced Concepts for Intelligent Vision Systems

  • Type: Book
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  • Published: 2016-10-20
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016, held in Lecce, Italy, in October 2016. The 64 revised full papers presented in this volume were carefully selected from 137 submissions. They deal with classical low-level image processing techniques; image and video compression; 3D; security and forensics; and evaluation methodologies.