Machine Learning in Aquaculture

Machine Learning in Aquaculture PDF Author: Mohd Azraai Mohd Razman
Publisher:
ISBN: 9789811522383
Category : Fishes
Languages : en
Pages : 64

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Book Description
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.

Machine Learning in Aquaculture

Machine Learning in Aquaculture PDF Author: Mohd Azraai Mohd Razman
Publisher:
ISBN: 9789811522383
Category : Fishes
Languages : en
Pages : 64

Get Book Here

Book Description
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.

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data

Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data PDF Author: Robert B. Fisher
Publisher: Springer
ISBN: 9783319302065
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
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.

Biosensors in Agriculture: Recent Trends and Future Perspectives

Biosensors in Agriculture: Recent Trends and Future Perspectives PDF Author: Ramesh Namdeo Pudake
Publisher: Springer Nature
ISBN: 3030661652
Category : Technology & Engineering
Languages : en
Pages : 496

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Book Description
This book reviews the application of nanosensors in food and agriculture. Nanotechnology has the potential to become transformative technology that will impact almost all sectors. Tools like nanosensors, which detect specific molecular interactions, can be used for on-site, in-situ and online measurements of various parameters in clinical diagnostics, environmental and food monitoring, and quality control. Due to their unprecedented performance and sensitivity, nanobiosensors are gaining importance in precision farming. The book examines the use of nanobiosensors in the monitoring of food additives, toxins and mycotoxins, microbial contamination, food allergens, nutritional constituents, pesticides, environmental parameters, plant diseases and genetically modified organisms. It also discusses the role of biosensors in increasing crop productivity in sustainable agriculture, and nanosensor-based smart delivery systems to optimize the use of natural resources such as water, nutrients and agrochemicals in precision farming.

Information and Communication Technologies

Information and Communication Technologies PDF Author: Santiago Berrezueta-Guzman
Publisher: Springer Nature
ISBN: 303175431X
Category :
Languages : en
Pages : 391

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Book Description


e-Learning, e-Education, and Online Training

e-Learning, e-Education, and Online Training PDF Author: Shuai Liu
Publisher: Springer Nature
ISBN: 303063955X
Category : Education
Languages : en
Pages : 363

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Book Description
This 2-volume set constitutes the proceedings of the 6th International Conference on e-Learning, e-Education, and Online Training, eLEOT 2020, held in Changsha, China, in June 2020. The conference was held virtually due to the COVID-19 pandemic. The 68 full papers presented were carefully reviewed and selected from 141 submissions. They focus on most recent and innovative trends and new technologies in for educational modernization, such as artificial intelligence and big data. The theme of eLEOT 2020 was “Education with New Generation Information Technology”.

Smart Sensors for Real-Time Water Quality Monitoring

Smart Sensors for Real-Time Water Quality Monitoring PDF Author: Subhas C Mukhopadhyay
Publisher: Springer Science & Business Media
ISBN: 3642370063
Category : Technology & Engineering
Languages : en
Pages : 292

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Book Description
Sensors are being utilized to increasing degrees in all forms of industry. Researchers and industrial practitioners in all fields seek to obtain a better understanding of appropriate processes so as to improve quality of service and efficiency. The quality of water is no exception, and the water industry is faced with a wide array of water quality issues being present world-wide. Thus, the need for sensors to tackle this diverse subject is paramount. The aim of this book is to combine, for the first time, international expertise in the area of water quality monitoring using smart sensors and systems in order that a better understanding of the challenges faced and solutions posed may be available to all in a single text.

Smart and Sustainable Food Technologies

Smart and Sustainable Food Technologies PDF Author: Shalini Sehgal
Publisher: Springer Nature
ISBN: 9811917469
Category : Technology & Engineering
Languages : en
Pages : 414

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Book Description
This book presents a comprehensive view of emerging smart technologies in various food processing sectors. Specifically, it covers smart technologies applied in food production, food manufacturing, food packaging, storage, distribution, and food supply chain. Contributing authors are the key scientists with diverse backgrounds in either industry or academia. The book contains four parts with four chapters each, presenting recent smart technologies developed in their respective areas. Part I primarily focuses on the recent smart food production innovations such as precision agriculture, vertical farming, automation, robotics , livestock technology, modern greenhouse practices, artificial intelligence, and block chain that dramatically increase the quality of raw materials for the food industry. Part II provides the current knowledge and developments related to the recent smart technologies in manufacturing pertaining to various food sectors, non-thermal food preservation technologies, and 3D printing, developed for the food manufacturing industries that improve the organoleptic and nutritional quality, enhance chemical and microbial safety, as well as cost-effectiveness and convenience of processed foods. Part III covers smart technologies to ensure food safety in the supply chain, with monitoring and surveillance of food contamination, use of IoT and blockchain for food traceability and neural network approach for risk assessment. Part IV provides expert opinions on using smart technologies for minimizing waste and maximizing co-product recovery in food processing; upcycling technologies in food and sustainable value stream mapping in the food industry. This book will be a useful resource to graduate/undergraduate students and researchers in advanced food technology, practicing technologists/engineers in the food and related industries, food packaging industry, entrepreneurs and other scientists and technologists in smart and sustainable processes who seek information on design and development of these processes.

Ensemble Machine Learning

Ensemble Machine Learning PDF Author: Cha Zhang
Publisher: Springer Science & Business Media
ISBN: 1441993258
Category : Computers
Languages : en
Pages : 332

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Book Description
It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.

The Shrimp Book

The Shrimp Book PDF Author: Victoria Alday-Sanz
Publisher: Nottingham University Press
ISBN: 1904761593
Category : Science
Languages : en
Pages : 937

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Book Description
A comprehensive source of information on all aspects of shrimp production, this reference covers not only the global status of shrimp farming, but also examines shrimp anatomy and physiology. From nutrition to health management and harvesting issues to biosecurity, this well-researched volume evaluates existing knowledge, proposes new concepts, and questions common practices. With an extensive review on worldwide production systems, this compilation will be highly relevant to research scientists, students, and shrimp producers.

Technologies and Innovation

Technologies and Innovation PDF Author: Rafael Valencia-García
Publisher: Springer Nature
ISBN: 3031757025
Category :
Languages : en
Pages : 217

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Book Description