FarmFresh allows for the sudden change in supply chain due to COVID-19 reallocate to those who need it most. Many commercial farms have a surplus due to the restaurant and catering businesses on pause whereas consumers are struggling to access resources in stores either due to shortages or being in a food desert. Our aim is to identify farms with surpluses using agricultural data and connecting them with volunteers and consumers in areas with limited resource access.
Our team was inspired by the misallocation of necessities from watching some farms dump milk to people going hungry. Our approach to developing this project was to first identify weak spots such as surplus farms across the farms. We used soil, precipitation, and other agricultural data from LP DAAC as well as identified areas of covid-19 vulnerability using SEDAC. To analyze the data we used Python and created a web interface with React.js, Node.js, Google Maps API, Plotly, and MongoDB Atlas.
Here's a presentation slide deck.
https://docs.google.com/presentation/d/1NU1TiS6Y3GymhmQORwVApJppbZBO6MFVmAo5Lr5MA_s/edit?usp=sharing
LP DAAC
SEDAC