Overview

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 farm's 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 FAO's 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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