Inspiration
Inspired by a recent trip to an Indonesian fish farm, our team decided to tackle the issue of Indonesia's large, yet mostly segregated fish farming industry. Through AI, we hope to make the growing and harvesting of fish more efficient while addressing Sustainable Development Goals of No Poverty, Economic Growth, Innovation and Infrastructure, and Responsible Production. This is done through image processing, regression, and clustering analysis to simplify and streamline the science behind growing good and healthy fish, while creating a wider marketplace for sellers that is powered by AI to find buyers for their harvest.
What it does
Fish farmers struggle to find sufficient buyers for their produce locally, so our online marketplace connects them to buyers in other cities in Indonesia and also in other countries.
How we built it
Our code is written on Jupyter notebook, which helps to analyse data, such as fish weight, to plot fish weight against time to conduct regression analysis to estimate harvest times. Additionally, we will have algorithms to predict harvest quantities and also to monitor water quality. To do this, hardware like underwater cameras and biomass sensors will need to be installed in the fish farms to gather these data.
Challenges
Some challenges our team encountered included realizing that there is currently not much data publicly available when it comes to analyzing the growth of young fish. Moreover, we also understand the headwinds our project may face during the implementation stage, as fish farmers in Indonesia may not be receptive to new technology and may struggle with the use of unfamiliar tech and new processes. In addition, the financial viability of the project will rely on a subscription-based model in order to facilitate its long-term sustainability.
Strategy
By empowering smaller fish farmers living in semi-urban Indonesia to not only experience how technology can positively impact both the upstream production of fish, but also the downstream sale of fish to buyers, we hope that AI-Feesh can address four of the 17 UN SDGs, namely, No Poverty, Economic Growth, Innovation and Infrastructure, and Responsible Production. As many fish farmers in Indonesia live below or within range of the poverty line, we hope that our AI-leveraged technology can help push this group of workers further into financial freedom while giving them greater peace of mind about their longer-term role in the fishing and aquaculture industry in Indonesia, as well as help reduce waste and increase the efficiency and yield of growing fish.
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