Machine Learning In Aquaculture

Author : Mohd Azraai Mohd Razman
Publisher :
ISBN 13 : 9789811522383
Total Pages : 64 pages
Book Rating : 4.83/5 ( download)

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Download or read book Machine Learning in Aquaculture written by Mohd Azraai Mohd Razman and published by . This book was released on 2020 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.

Author : Mohd Azraai Mohd Razman
Publisher : Springer Nature
ISBN 13 : 9811522375
Total Pages : 64 pages
Book Rating : 4.76/5 ( download)

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Download or read book Machine Learning in Aquaculture written by Mohd Azraai Mohd Razman and published by Springer Nature. This book was released on 2020-01-02 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have implications for higher productivity in fish farms. Computer vision and machine learning techniques make it possible to quantify the subjective perception of hunger behaviour and so allow food to be provided as necessary. The book analyses the conceptual framework of motion tracking, feeding schedule and prediction classifiers in order to classify the hunger state, and proposes a system comprising an automated feeder system, image-processing module, as well as machine learning classifiers. Furthermore, the system substitutes conventional, complex modelling techniques with a robust, artificial intelligence approach. The findings presented are of interest to researchers, fish farmers, and aquaculture technologist wanting to gain insights into the productivity of fish and fish behaviour.

Author : Amaj Rahimi-Midani
Publisher :
ISBN 13 : 9789819949199
Total Pages : 0 pages
Book Rating : 4.9X/5 ( download)

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Download or read book Deep Technology for Sustainable Fisheries and Aquaculture written by Amaj Rahimi-Midani and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses real-world examples from the aquaculture industry to demonstrate how deep technology is assisting farmers and vulnerable communities. Works conducted by Poseidon-AI (a deep tech company involved in the aquaculture sector) in different countries are presented as case studies to show the positive impacts of deep tech involvement in the aquaculture sector. Primary industries, such as fisheries and aquaculture, rely heavily on labor. Furthermore, the manual practices of these farming methods increase material waste and reduce yields, resulting in higher costs and lower revenues. Poikilotherms make up the majority of aquatic animals, and environmental changes have a significant impact on them. This means that, due to climate change, farming of these animals cannot continue in the same way that it has for centuries. Artificial intelligence, machine learning, image processing, sensing, and automation are approaches that can assist these farms in dealing with rapid environmental changes while also assisting farmers in growing their businesses sustainably. This book is of interest to climate change scientists, entrepreneurs, investors, civil workers, and policymakers. Furthermore, the book is a great complimentary material for graduate students of fisheries, aquaculture, ecology, soil science, water management and environmental sciences. All national and international policymakers working in implementation of UNSDGs and sustainability, will find this book a useful read. .

Author : Jose Martinez-Carranza
Publisher : CRC Press
ISBN 13 : 1003827438
Total Pages : 386 pages
Book Rating : 4.36/5 ( download)

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Download or read book Machine Learning for Complex and Unmanned Systems written by Jose Martinez-Carranza and published by CRC Press. This book was released on 2024-02-21 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights applications that include machine learning methods to enhance new developments in complex and unmanned systems. The contents are organized from the applications requiring few methods to the ones combining different methods and discussing their development and hardware/software implementation. The book includes two parts: the first one collects machine learning applications in complex systems, mainly discussing developments highlighting their modeling and simulation, and hardware implementation. The second part collects applications of machine learning in unmanned systems including optimization and case studies in submarines, drones, and robots. The chapters discuss miscellaneous applications required by both complex and unmanned systems, in the areas of artificial intelligence, cryptography, embedded hardware, electronics, the Internet of Things, and healthcare. Each chapter provides guidelines and details of different methods that can be reproduced in hardware/software and discusses future research. Features Provides details of applications using machine learning methods to solve real problems in engineering Discusses new developments in the areas of complex and unmanned systems Includes details of hardware/software implementation of machine learning methods Includes examples of applications of different machine learning methods for future lines for research in the hot topic areas of submarines, drones, robots, cryptography, electronics, healthcare, and the Internet of Things This book can be used by graduate students, industrial and academic professionals to examine real case studies in applying machine learning in the areas of modeling, simulation, and optimization of complex systems, cryptography, electronics, healthcare, control systems, Internet of Things, security, and unmanned systems such as submarines, drones, and robots.

Author : Robert B. Fisher
Publisher : Springer
ISBN 13 : 3319302086
Total Pages : 319 pages
Book Rating : 4.89/5 ( download)

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Download or read book Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data written by Robert B. Fisher and published by Springer. This book was released on 2016-03-24 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.

Author : Amaj Rahimi-Midani
Publisher : Springer Nature
ISBN 13 : 9819949173
Total Pages : 315 pages
Book Rating : 4.75/5 ( download)

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Download or read book Deep Technology for Sustainable Fisheries and Aquaculture written by Amaj Rahimi-Midani and published by Springer Nature. This book was released on 2023-08-12 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book uses real-world examples from the aquaculture industry to demonstrate how deep technology is assisting farmers and vulnerable communities. Works conducted by Poseidon-AI (a deep tech company involved in the aquaculture sector) in different countries are presented as case studies to show the positive impacts of deep tech involvement in the aquaculture sector. Primary industries, such as fisheries and aquaculture, rely heavily on labor. Furthermore, the manual practices of these farming methods increase material waste and reduce yields, resulting in higher costs and lower revenues. Poikilotherms make up the majority of aquatic animals, and environmental changes have a significant impact on them. This means that, due to climate change, farming of these animals cannot continue in the same way that it has for centuries. Artificial intelligence, machine learning, image processing, sensing, and automation are approaches that can assist these farms in dealing with rapid environmental changes while also assisting farmers in growing their businesses sustainably. This book is of interest to climate change scientists, entrepreneurs, investors, civil workers, and policymakers. Furthermore, the book is a great complimentary material for graduate students of fisheries, aquaculture, ecology, soil science, water management and environmental sciences. All national and international policymakers working in implementation of UNSDGs and sustainability, will find this book a useful read.

Author : Joy Iong-Zong Chen
Publisher : Springer Nature
ISBN 13 : 9811679967
Total Pages : 642 pages
Book Rating : 4.64/5 ( download)

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Download or read book Machine Learning and Autonomous Systems written by Joy Iong-Zong Chen and published by Springer Nature. This book was released on 2022-02-10 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24–25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.

Author : Haiyong Zheng
Publisher : Frontiers Media SA
ISBN 13 : 2832549055
Total Pages : 555 pages
Book Rating : 4.56/5 ( download)

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Download or read book Deep Learning for Marine Science written by Haiyong Zheng and published by Frontiers Media SA. This book was released on 2024-05-15 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning (DL), mainly composed of deep and complex neural networks such as recurrent network and convolutional network, is an emerging research branch in the field of artificial intelligence and machine learning. DL revolution has a far-reaching impact on all scientific disciplines and every corner of our lives. With continuing technological advances, marine science is entering into the big data era with the exponential growth of information. DL is an effective means of harnessing the power of big data. Combined with unprecedented data from cameras, acoustic recorders, satellite remote sensing, and large model outputs, DL enables scientists to solve complex problems in biology, ecosystems, climate, energy, as well as physical and chemical interactions. Although DL has made great strides, it is still only beginning to emerge in many fields of marine science, especially towards representative applications and best practices for the automatic analysis of marine organisms and marine environments. DL in nowadays' marine science mainly leverages cutting-edge techniques of deep neural networks and massive data which collected by in-situ optical or acoustic imaging sensors for underwater applications, such as plankton classification and coral reef detection. This research topic aims to expand the applications of marine science to cover all aspects of detection, classification, segmentation, localization, and density estimation of marine objects, organisms, and phenomena.

Author : Shyamasree Ghosh
Publisher : Springer Nature
ISBN 13 : 9811688818
Total Pages : 337 pages
Book Rating : 4.12/5 ( download)

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Download or read book Machine Learning in Biological Sciences written by Shyamasree Ghosh and published by Springer Nature. This book was released on 2022-05-04 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives an overview of applications of Machine Learning (ML) in diverse fields of biological sciences, including healthcare, animal sciences, agriculture, and plant sciences. Machine learning has major applications in process modelling, computer vision, signal processing, speech recognition, and language understanding and processing and life, and health sciences. It is increasingly used in understanding DNA patterns and in precision medicine. This book is divided into eight major sections, each containing chapters that describe the application of ML in a certain field. The book begins by giving an introduction to ML and the various ML methods. It then covers interesting and timely aspects such as applications in genetics, cell biology, the study of plant-pathogen interactions, and animal behavior. The book discusses computational methods for toxicity prediction of environmental chemicals and drugs, which forms a major domain of research in the field of biology. It is of relevance to post-graduate students and researchers interested in exploring the interdisciplinary areas of use of machine learning and deep learning in life sciences.

Author : D. Allen Davis
Publisher : Woodhead Publishing
ISBN 13 : 0128229926
Total Pages : 472 pages
Book Rating : 4.27/5 ( download)

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Download or read book Feed and Feeding Practices in Aquaculture written by D. Allen Davis and published by Woodhead Publishing. This book was released on 2022-05-28 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feed and Feeding Practices in Aquaculture, Second Edition continues to play an important role in the successful production of fish and other seafood for human consumption. This is an excellent resource for understanding the key properties of feeds for aquaculture, advances in feed formulation and manufacturing techniques, and the practicalities of feeding systems and strategies. Many new updates have been integrated to reflect recent advances within the market, including special emphasis on up-and-coming trends and new technologies on monitoring fish feeding patterns, making this book useful for anyone working in R&D in the production of feed, as well as nutritionists, farm owners and technicians, and academics/postgraduate students with a research interest in the area. Includes new research information on using feed to enhance the sensory qualities of fish Presents the latest research in aquafeed and processing Provides the latest information on regulatory issues regarding feed and fish health