000			03445nam a22004695i 4500
001			978-981-99-4917-5
003			DE-He213
005			20240729140123.0
007			cr nn 008mamaa
008			230812s2023 si | s |||| 0|eng d
020			_a9789819949175 _9978-981-99-4917-5
024	7		_a10.1007/978-981-99-4917-5 _2doi
072		7	_aPSV _2bicssc
072		7	_aSCI070000 _2bisacsh
072		7	_aPSV _2thema
100	1		_aRahimi-Midani, Amaj. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aDeep Technology for Sustainable Fisheries and Aquaculture
250			_a1st ed. 2023.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023.
300			_aXVIII, 300 p. 1 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aChapter 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			_aThis 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		0	_aZoology.
650		0	_aBiology _xTechnique.
650		0	_aAnimal biotechnology.
650		0	_aEcology . _95987
650	1	4	_aZoology.
650	2	4	_aBiological Techniques.
650	2	4	_aAnimal Biotechnology.
650	2	4	_aEcology. _95987
710	2		_aSpringerLink (Online service)
856			_u#gotoholdings _yAccess resource
912			_aZDB-2-SBL
912			_aZDB-2-SXB
245			_h[E-Book]
999			_c103606 _d103606