Inspiration
Coffee is not just a beverage - it's a livelihood for millions of farmers worldwide. Many small-scale coffee growers lack access to advanced tools that could help them estimate their crop yield in advance. Estimating yield helps in planning labor, sales, and supply chain management more effectively.
What it does
BeanCount is a simple and user-friendly web tool designed for coffee farmers or estate owners to manually input data related to their farm and receive an estimated yield of their coffee plantation.
How we built it
I built BeanCount using core web technologies- HTML, CSS, and JavaScript- to create a lightweight, user-friendly interface where coffee farmers can manually input the data, like farm size, rainfall, altitude, and plantation type. This tool uses a basic algorithm backed by agricultural yield estimation formulas to predict potential harvest size. We focused on keeping the design simple so farmers with limited tech access or knowledge can use it easily.
Challenges we ran into
one hurdle was designing an easy and user-friendly experience for non-technical users, especially in rural areas. Ensuring our form validation, result display, and responsiveness across devices also time.
Accomplishments that we're proud of
I am proud to have created a simple yet efficient web tool with a few languages and technologies, but it is user-friendly, and I delivered a working prototype that could help small-scale farmers gain insights into expected production, supporting better decision-making.
What we learned
I learned how to bridge the gap between technology and agriculture and the importance of designing tools with empathy for end users.
What's next for BeanCount
I plan to add more features like weather-based alerts, multilingual support, and offline accessibility.
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