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Deep technology for sustainable fish...

Rahimi-Midani, Amaj.

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Deep technology for sustainable fisheries and aquaculture

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep technology for sustainable fisheries and aquaculture/ by Amaj Rahimi-Midani.
Author:	Rahimi-Midani, Amaj.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xviii, 300 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. Deep Tech Practices in Aquaculture -- Chapter 3. Poseidon-AI, Where Aquatic Intelligence Meets Artificial Intelligence -- Chapter 4. Comparison of Aquaculture Practices with & without Deep Tech -- Chapter 5. Use of Deep Tech in Integrated Aquaculture Systems -- Chapter 6. Poseidon-AI Integrated Aquaculture Modules -- Chapter 7. Sustainable Development Goals, Deep Tech, and The Path Forward.
Contained By:	Springer Nature eBook
Subject:	Sustainable aquaculture - Technological innovations. -
Online resource:	https://doi.org/10.1007/978-981-99-4917-5
ISBN:	9789819949175

Deep technology for sustainable fisheries and aquaculture
Rahimi-Midani, Amaj.

Deep technology for sustainable fisheries and aquaculture[electronic resource] /by Amaj Rahimi-Midani. - Singapore :Springer Nature Singapore :2023. - xviii, 300 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Deep Tech Practices in Aquaculture -- Chapter 3. Poseidon-AI, Where Aquatic Intelligence Meets Artificial Intelligence -- Chapter 4. Comparison of Aquaculture Practices with & without Deep Tech -- Chapter 5. Use of Deep Tech in Integrated Aquaculture Systems -- Chapter 6. Poseidon-AI Integrated Aquaculture Modules -- Chapter 7. Sustainable Development Goals, Deep Tech, and The Path Forward.

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.

ISBN: 9789819949175

Standard No.: 10.1007/978-981-99-4917-5doiSubjects--Topical Terms:

3664336
Sustainable aquaculture
--Technological innovations.

LC Class. No.: SH136.S88

Dewey Class. No.: 639.80286

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505 0 $a Chapter 1. Introduction -- Chapter 2. Deep Tech Practices in Aquaculture -- Chapter 3. Poseidon-AI, Where Aquatic Intelligence Meets Artificial Intelligence -- Chapter 4. Comparison of Aquaculture Practices with & without Deep Tech -- Chapter 5. Use of Deep Tech in Integrated Aquaculture Systems -- Chapter 6. Poseidon-AI Integrated Aquaculture Modules -- Chapter 7. Sustainable Development Goals, Deep Tech, and The Path Forward.
520 $a 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.
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