Fisheries & related industries
Fisheries and Aquaculture Economics
by A.P. Upadhyay, Ajit KumarRoy & Pramodh Kumar Pandey
Description
This book provides a detailed overview to the topic of international fisheries governance and the drivers of IUU fishing. Technologies that directly address these challenges reduce costs and improve and expand farm operations both offshore and especially on land are reported in this communication. The book provides information on the following areas to scientists, resource managers and researchers working with big data to advance more sustainable fisheries practices.
Modeling in the areas of Feed Conversion Ratio (FCR), Specific Feeding Ratio (SFR), Key Performance Indicators (KPI) that are needed for efficient management of resources for sustainable production from fisheries sector. Neural Network forecasts that exceeded other traditional forecasting methods such as linear or logistic regression systems. Application of Big Data Analytics in aquaculture that facilitated to bring the techniques of aquaculture to a new level of in depth understanding and unlocking the economic potential of improved management decisions particularly can spot business trends, prevent disease, combat crime, and even revolutionize the health of fisheries.
Application of ANN to forecast water quality and temperature that benefits aquaculture process control. Sensor Technology that offers real-time environmental monitoring system for aquaculture in a wide range of areas and visual signal processing system to continuously control the feeding process of fish in aquaculture tanks. Artificial Intelligence Systems that in turn helps in increased process efficiency; reduced energy and water losses; reduced labor costs; reduced stress and disease; better understanding of the process and efficient accounting are also.
Data Mining for better control on the food loss and food quality in the aqua farming industry. Analysis of Value Chain of Processed Fish Products Partial Budget Analysis for better understanding of the farms financial status and more efficient use of the resources available particularly for aquaculture practices. Tips for right type of statistical test to equip the social science researchers capable of performing of Statistical tests for various rating scales mostly used for social sciences research.
A holistic, global-scale focus on challenges of IUU and technology initiatives to face the challenge This unique book explores a wide range of analytical issues centered on the aquaculture process management. It is expected that this book will be most useful who aims in achieving FAOs Sustainable Development Goal 14, which calls on the international community to effectively regulate fish harvesting end overfishing, illegal fishing, and destructive fishing practices, and to implement science-based management.
Modeling in the areas of Feed Conversion Ratio (FCR), Specific Feeding Ratio (SFR), Key Performance Indicators (KPI) that are needed for efficient management of resources for sustainable production from fisheries sector. Neural Network forecasts that exceeded other traditional forecasting methods such as linear or logistic regression systems. Application of Big Data Analytics in aquaculture that facilitated to bring the techniques of aquaculture to a new level of in depth understanding and unlocking the economic potential of improved management decisions particularly can spot business trends, prevent disease, combat crime, and even revolutionize the health of fisheries.
Application of ANN to forecast water quality and temperature that benefits aquaculture process control. Sensor Technology that offers real-time environmental monitoring system for aquaculture in a wide range of areas and visual signal processing system to continuously control the feeding process of fish in aquaculture tanks. Artificial Intelligence Systems that in turn helps in increased process efficiency; reduced energy and water losses; reduced labor costs; reduced stress and disease; better understanding of the process and efficient accounting are also.
Data Mining for better control on the food loss and food quality in the aqua farming industry. Analysis of Value Chain of Processed Fish Products Partial Budget Analysis for better understanding of the farms financial status and more efficient use of the resources available particularly for aquaculture practices. Tips for right type of statistical test to equip the social science researchers capable of performing of Statistical tests for various rating scales mostly used for social sciences research.
A holistic, global-scale focus on challenges of IUU and technology initiatives to face the challenge This unique book explores a wide range of analytical issues centered on the aquaculture process management. It is expected that this book will be most useful who aims in achieving FAOs Sustainable Development Goal 14, which calls on the international community to effectively regulate fish harvesting end overfishing, illegal fishing, and destructive fishing practices, and to implement science-based management.
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Rights Information
Subsidiary Rights Available
Author Biography
A.D. Upadhyay, Central Agricultural University, Tripura, India A.K. Roy, NAIP (World Bank Funded), ICAR, New Delhi, India Pramod Kumar Pandey, Central Agricultural University, Tripura, India
NIPA
Publishes Agriculture, Plant, Horticultural Sciences, Food, Animal and Veterinary Sciences, Geology. Online Language, Communication Skill Courses Certified by MHRD (GoI).
View all titlesBibliographic Information
- Publisher NIPA
- Publication Date July 2019
- Orginal LanguageEnglish
- ISBN/Identifier 9789387973923
- Publication Country or regionIndia
- FormatHardback
- Primary Price 161.56 USD
- Pages364
- ReadershipCollege/Tertiary Education
- Publish StatusPublished
- Original Language TitleEnglish
- Original Language AuthorsEnglish
- Edition1st
- Copyright Year2019
- Dimensions6 X 9 inches
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