Gardening has become a top choice of hobbies for many SIngaporeans, especially thanks to the COVID-19 lockdown. Gardening has proven to be a great activity for stress relief and promoting mental resilience (Sia et al., 2022). In addition, promoting gardening as an activity would help promote sustainable living and a green lifestyle. Our idea is to lower the potential barriers of entry to home or community gardening, such as disease detection and plant health maintenance and a lack of time (Diaz et al., 2018). This is done through improving efficiency for potential gardeners by aiding them in the plant care process. It also provides utility for certain disabled populations, such as visually-impaired or colour blind people interested in gardening.
How we built it
Our device uses a custom lens connected to a ESP32 Camera module and a plant disease database. Users can scan their plants and the device will help to detect symptoms that correspond to various plant diseases. From there, mitigating measures will then be listed out for the user. The device can be connected to our dataset via the internet. The device can also be attached to smart-glasses to free up the hands of gardeners.
We aim to promote this device for usage in precision farming. This is because current methods of identifying diseased plants are heavily reliant on human observation, often resulting in the wastage of good plants due to human error and inaccuracies. With the implementation of our device, farmers will be able to differentiate healthy plants from diseased plants with higher accuracy.This will result in an increase in environmental performance and yields. This also results in the reduction of eco-waste and farming costs.
Challenges we ran into
Coding issues and compatibility.
Accomplishments that we're proud of
Finishing something within such a short time frame and getting code that somewhat works.
What's next for E.n.D
You'll see!
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