Inspiration
We are from families of farmers, and we have done the data-driven approach to improve the industry, which needs evolving,
What it does
One-stop shop for farmers, including forecasts, news sentiment analysis, FarmerGPT customised with farmer-related agriculture data needed for any farmers' questions.
How we built it
Python
Challenges we ran into
Data collection for soil, filling in data where there wasn't any existing.
Accomplishments that we're proud of
The dashboard, sentiment score, data forecasting with volatility forecasting, FarmerGPT integration.
What we learned
Hard work, Python, farming, alternative data, collaboration.
What's next for FieldOS
Use data for historical harvests, animal tracking, price forecasting for farmers, sensor integration for crops, smart irrigation.
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