Intelligent Fish Processing Technology with Python

Dr. Srikanth K

Fisheries

Intelligent Fish Processing Technology with Python

By Dr. Srikanth K

Intelligent Fish Processing Technology with Python provides a comprehensive exploration of innovative methodologies for enhancing fish processing techniques through the application of Python programming. This book delves into various aspects of fish processing, including automation, data analysis, and quality control, all aimed at optimizing production efficiency and ensuring high standards of food safety. Readers will gain insights into the integration of artificial intelligence and machine learning in the fisheries sector, making it an essential resource for professionals and researchers alike. The text is designed to bridge the gap between traditional fish processing methods and modern technological advancements. With practical case studies and hands-on examples using Python, readers will learn to implement intelligent solutions in real-world scenarios. This approach not only highlights the significance of sustainable fishing practices but also emphasizes the role of technology in addressing contemporary challenges in the fisheries industry.

  • ISBN: 978-93-7991-390-6
  • Pages: 180
  • Language: English
$173.00
food safetysustainable fishingaquaculture

Intelligent Fish Processing Technology with Python provides a comprehensive exploration of innovative methodologies for enhancing fish processing techniques through the application of Python programming. This book delves into various aspects of fish processing, including automation, data analysis, and quality control, all aimed at optimizing production efficiency and ensuring high standards of food safety. Readers will gain insights into the integration of artificial intelligence and machine learning in the fisheries sector, making it an essential resource for professionals and researchers alike.

The text is designed to bridge the gap between traditional fish processing methods and modern technological advancements. With practical case studies and hands-on examples using Python, readers will learn to implement intelligent solutions in real-world scenarios. This approach not only highlights the significance of sustainable fishing practices but also emphasizes the role of technology in addressing contemporary challenges in the fisheries industry.

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