It uses predictive analysis and machine learning to find the best day/time period to begin planting
Used html to create a dashboard/user interface with web dev/machine learning techniques in the background to produce the predictions and take in the data sets
Challenges:Clean website formatting and streamlining variables
Accomplishments that I'm proud of
We learned more about the farming process and factors that play into it
Next Steps: Integrate sensors in field to get real time data, sync with other data centers to get more real time data, expand on the predicting power/accuracy.
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