Deep Technology for Sustainable Fisheries and Aquaculture

Rahimi-Midani, Amaj

Deep Technology for Sustainable Fisheries and Aquaculture
  • 出版商: Springer
  • 出版日期: 2024-08-14
  • 售價: $5,640
  • 貴賓價: 9.5 折 $5,358
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 981994919X
  • ISBN-13: 9789819949199

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書使用來自水產養殖產業的實際案例，展示深度科技如何協助農民和脆弱社區。Poseidon-AI（一家參與水產養殖領域的深度科技公司）在不同國家進行的工作被呈現為案例研究，以顯示深度科技在水產養殖領域的正面影響。

初級產業，如漁業和水產養殖，對勞動力的依賴程度很高。此外，這些農業方法的手動操作增加了物料浪費並降低了產量，導致成本上升和收入下降。變溫動物佔據了大多數水生動物，環境變化對它們有顯著影響。這意味著，由於氣候變遷，這些動物的養殖無法像幾個世紀以來那樣繼續進行。人工智慧、機器學習、影像處理、感測和自動化是可以協助這些農場應對快速環境變化的方式，同時幫助農民可持續地發展他們的業務。

本書對氣候變遷科學家、企業家、投資者、公務員和政策制定者具有吸引力。此外，本書也是漁業、水產養殖、生態學、土壤科學、水資源管理和環境科學研究生的極佳補充材料。所有在執行聯合國可持續發展目標（UNSDGs）和可持續性方面工作的國內外政策制定者，將會發現本書是一本有用的讀物。

作者簡介

Dr. Amaj Rahimi-Midani graduated from Pukyong National University (PKNU) in Busan, South Korea. He pursued his post-doctoral fellowship as a climate change modeler by analyzing the climate change impact on European freshwater species. He is the founder and CEO of Poseidon-AI located in Singapore. He has extensive working experience with international organizations in implementing sustainable practices related to water, soil, aquaculture, and fisheries around the world. He has many peer-reviewed international publications and delivered numerous oral and poster presentations in numerous international meetings, conferences, and congresses.


作者簡介(中文翻譯)

Dr. Amaj Rahimi-Midani 畢業於南韓釜山的釜慶國立大學 (Pukyong National University, PKNU)。他作為氣候變遷模型師，進行了博士後研究，分析氣候變遷對歐洲淡水物種的影響。他是位於新加坡的 Poseidon-AI 的創辦人兼執行長。他在國際組織中擁有豐富的工作經驗，致力於在全球推行與水、土壤、水產養殖和漁業相關的可持續實踐。他擁有多篇經過同行評審的國際出版物，並在多個國際會議、研討會和大會上發表了大量的口頭和海報報告。

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