- 科展類別
- 臺灣國際科展作品
- 屆次
- 2022年
- 科別
- 化學
- 學校名稱
- Avicenna research center
- 指導老師
- Soroush Nourolvara
- 作者
- Mobina Jaberi;Fatemeh Jaberi
- 關鍵字
- nanotechnology、agricultural science、the food industry
摘要或動機
Introduction: Using advanced technologies such as nanotechnology in the food and fishery industry, as one of the most important industrial sectors of countries, has received too much attention. Traditionally, fishing and hunting have been considered important sources of supplying food.
The subject and methodology: The study aims to investigate nanotechnology for detecting fish hatching time. This is a review article that collects the information from databases such as Sid, civilica, and Google Scholar. In the end, 22 papers were studied for extracting and collecting the required information from the abovementioned scientific database.
Finding: After examining the food, drug, and agricultural-related papers published from 2009 to 2020, it was concluded that small Nano-sensors, controlling & monitoring systems made from nanotechnology can be installed on fishing nets, fishing rods, and other fishing equipment. These devices (Nano-sensors and controlling & monitoring systems) will help fishes so that they don’t get caught. In this way, as a fish gets close to the fishing equipment, it will receive sound, smell, or heat-based alarm. Therefore, the fish will stay away from the fishing equipment.
The result: according to the finding of this study, it can be concluded that excessive fishing in the hatching time will be avoided by the application of nanotechnology in the fishing equipment. As a result, the following advantages will be secured:
1- There are lots of opportunists who misuse fish during the hatching time. With the application of nanotechnology, they will be stopped.
2- Opportunists are ambushing in different time points to misuse fish. Also, the guards might be ignorant. With the application of nanotechnology, guards are no longer required.
3- This plant is cost-effective too.
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檔案名稱 |
檔案大小 |
格式 |
030025.pdf |
488 KB |
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