garden.ai

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Inspiration

As advocates for a more sustainable future, we believe that avoidable food waste is one of the most serious, yet preventable, issues affecting ordinary people today. We were inspired to create garden.ai as a tool to motivate individuals to begin growing some of their own produce and provide them with easy-to-understand data about their food in order to avoid waste.

What It Does

Garden.ai provides a simple interface to build and monitor your garden in digital form. You can add the plants you are growing and, through our use of Python-driven AI predictive analysis of the local climate, receive information about the ideal date to harvest your food. This allows you to more effectively schedule planting cycles and avoid waste from overproduction. It also provides a handy catalogue of plants with information such as water consumption, ideal temperature, drought tolerance, and more.

How We Built It

We used React to build the front end of the website. Our crop data was retrieved from various open-source agricultural databases, and combined with location, weather, and humidity APIs to be processed using Python.

Challenges

We faced some issues sourcing the necessary data for our crop prediction algorithms. Ultimately, however, we were able to combine several databases to get the required technical and graphical information for the website.

Accomplishments

We are very happy with the final aesthetic of the website, particularly the isometric view of the garden plots. We are also proud of our harvest prediction algorithm.

What We Learned

As a team, we all learned a lot about the React framework. Additionally, we greatly improved our ability to efficiently source data for our predictions.

What’s Next

We plan to expand the breadth of our plant database and the depth of plant-related information to provide users with more options to set up their garden and improved insight about how to schedule planting and harvesting. We are also looking to improve the database functionality by adding more user-specific settings to further customize each person’s garden.