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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