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001476107 001__ 1476107
001476107 003__ OCoLC
001476107 005__ 20231003174632.0
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001476107 008__ 230822s2023\\\\si\a\\\\ob\\\\000\0\eng\d
001476107 019__ $$a1393913138$$a1394119886
001476107 020__ $$a9789819949175$$q(electronic bk.)
001476107 020__ $$a9819949173$$q(electronic bk.)
001476107 020__ $$z9789819949168
001476107 020__ $$z9819949165
001476107 0247_ $$a10.1007/978-981-99-4917-5$$2doi
001476107 035__ $$aSP(OCoLC)1394912304
001476107 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCQ
001476107 049__ $$aISEA
001476107 050_4 $$aSH136.S88
001476107 08204 $$a639.8028/6$$223/eng/20230822
001476107 1001_ $$aRahimi-Midani, Amaj,$$eauthor.$$0(orcid)0000-0002-7389-8099$$1https://orcid.org/0000-0002-7389-8099
001476107 24510 $$aDeep technology for sustainable fisheries and aquaculture /$$cAmaj Rahimi-Midani.
001476107 264_1 $$aSingapore :$$bSpringer,$$c2023.
001476107 300__ $$a1 online resource (xviii, 300 pages) :$$billustrations
001476107 336__ $$atext$$btxt$$2rdacontent
001476107 337__ $$acomputer$$bc$$2rdamedia
001476107 338__ $$aonline resource$$bcr$$2rdacarrier
001476107 504__ $$aIncludes bibliographical references.
001476107 5050_ $$aChapter 1. Introduction -- Chapter 2. Deep Tech Practices in Aquaculture -- Chapter 3. Poseidon-AI, Where Aquatic Intelligence Meets Artificial Intelligence -- Chapter 4. Comparison of Aquaculture Practices with & without Deep Tech -- Chapter 5. Use of Deep Tech in Integrated Aquaculture Systems -- Chapter 6. Poseidon-AI Integrated Aquaculture Modules -- Chapter 7. Sustainable Development Goals, Deep Tech, and The Path Forward.
001476107 506__ $$aAccess limited to authorized users.
001476107 520__ $$aThis book uses real-world examples from the aquaculture industry to demonstrate how deep technology is assisting farmers and vulnerable communities. Works conducted by Poseidon-AI (a deep tech company involved in the aquaculture sector) in different countries are presented as case studies to show the positive impacts of deep tech involvement in the aquaculture sector. Primary industries, such as fisheries and aquaculture, rely heavily on labor. Furthermore, the manual practices of these farming methods increase material waste and reduce yields, resulting in higher costs and lower revenues. Poikilotherms make up the majority of aquatic animals, and environmental changes have a significant impact on them. This means that, due to climate change, farming of these animals cannot continue in the same way that it has for centuries. Artificial intelligence, machine learning, image processing, sensing, and automation are approaches that can assist these farms in dealing with rapid environmental changes while also assisting farmers in growing their businesses sustainably. This book is of interest to climate change scientists, entrepreneurs, investors, civil workers, and policymakers. Furthermore, the book is a great complimentary material for graduate students of fisheries, aquaculture, ecology, soil science, water management and environmental sciences. All national and international policymakers working in implementation of UNSDGs and sustainability, will find this book a useful read.
001476107 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 22, 2023).
001476107 650_0 $$aSustainable aquaculture$$xTechnological innovations.
001476107 650_0 $$aAquaculture$$xTechnological innovations.
001476107 650_0 $$aArtificial intelligence$$xAgricultural applications.
001476107 655_0 $$aElectronic books.
001476107 77608 $$iPrint version: $$z9819949165$$z9789819949168$$w(OCoLC)1385401152
001476107 852__ $$bebk
001476107 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-4917-5$$zOnline Access$$91397441.1
001476107 909CO $$ooai:library.usi.edu:1476107$$pGLOBAL_SET
001476107 980__ $$aBIB
001476107 980__ $$aEBOOK
001476107 982__ $$aEbook
001476107 983__ $$aOnline
001476107 994__ $$a92$$bISE