國立虎尾科技大學 |

Deep technology for sustainable fisheries and aquaculture

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep technology for sustainable fisheries and aquaculture/ by Amaj Rahimi-Midani.
作者:	Rahimi-Midani, Amaj.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xviii, 300 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Ecology. -
電子資源:	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:

575279
Ecology.

LC Class. No.: SH136.S88

Dewey Class. No.: 639.80286

Deep technology for sustainable fisheries and aquaculture
LDR:02925nam a2200325 a 4500 001 1115748
003 DE-He213
005 20230812133139.0
006 m d
007 cr nn 008maaau
008 240123s2023 si s 0 eng d
020 $a 9789819949175 $q (electronic bk.)
020 $a 9789819949168 $q (paper)
024 7 $a 10.1007/978-981-99-4917-5 $2 doi
035 $a 978-981-99-4917-5
040 $a GP $c GP
041 0 $a eng
050 4 $a SH136.S88
072 7 $a PSV $2 bicssc
072 7 $a SCI070000 $2 bisacsh
072 7 $a PSV $2 thema
082 0 4 $a 639.80286 $2 23
090 $a SH136.S88 $b R147 2023
100 1 $a Rahimi-Midani, Amaj. $3 1428693
245 1 0 $a Deep technology for sustainable fisheries and aquaculture $h [electronic resource] / $c by Amaj Rahimi-Midani.
260 $a Singapore : $c 2023. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xviii, 300 p. : $b ill., digital ; $c 24 cm.
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.
650 2 4 $a Ecology. $3 575279
650 2 4 $a Animal Biotechnology. $3 1366588
650 2 4 $a Biological Techniques. $3 678565
650 1 4 $a Zoology. $3 593903
650 0 $a Artificial intelligence $x Agricultural applications. $3 1236795
650 0 $a Aquaculture $x Technological innovations. $3 1029355
650 0 $a Sustainable aquaculture $x Technological innovations. $3 1428694
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-99-4917-5
950 $a Biomedical and Life Sciences (SpringerNature-11642)