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智控技術於海水觀賞魚產業之應用

  • 日期:110-08-02
  • 計畫編號:109農科-11.2.8-水-A1
  • 年度:2020
  • 領域:智慧科技農業
  • 主持人:鄭明忠
  • 研究人員:葉怡均、江玉瑛、董家宏

本計畫針對海水觀賞魚選種育苗環境設施改善工程,以現有模場空間區劃改良利於 育苗期間之生物餌料培養、料輸送與投餵等機制並進行系統化改善以利完成自動化 養殖試驗。將進行育苗階段養殖試驗並收集相關水質、供水、成長、餌飼料等資料 作為設施化選種育苗養殖參考資料。以示範場域為基礎開發優化之本場育苗養殖環 境與餌料輸送系統,提供更精準與省工之智能聯網功能,提供實際養殖場運用。培 養觀賞水族選種育苗養殖環境監控與智能模組化設施設備,並藉由具經濟效益之養 殖場域環境模組化改良,透過功能模組與種魚行為辨識系統,作為未來推廣觀賞魚 選育模組規格化功能設施,有效落實產業上下游整合。 

研究報告摘要(英)


This project is aimed at the improvement of environmental facilities for the selection and breeding of seawater ornamental fish. The existing pattern field space is used to improve the mechanism of biological bait cultivation, feeding and feeding during the breeding period, and systematic improvements are made to facilitate the completion of automated breeding experiments. The breeding trials at the seedling stage will be carried out and the relevant water quality, water supply, growth, bait and other data will be collected as reference materials for facility selection and breeding. Based on the demonstration field, the optimized nursery breeding environment and bait conveying system are developed to provide intelligent networking functions that are more accurate and labor-saving, and provide practical farm application. Cultivate ornamental aquarium breeding and intelligent modular facilities and equipment, and improve the environment of the economically beneficial breeding farm through modularization, and use functional modules and breeding fish behavior identification systems as future models of ornamental fish breeding for set up specification functional facilities to effectively implement industry upstream and downstream integration.