During the first half of this year, ViviendasLeon worked with DataGood, a student organization working at the intersection of data science and social good, to develop a tool to improve our agricultural program outcomes. The team of students analyzed almost 4 years of farming data to help build this platform.
The first deliverable was an analysis of the 2017-2020 farming data. DataGood found the following:
The second deliverable built on the information from the initial data. The DataGood team created a predictive model for future harvests. The field team would not ground conditions such as location, weather, disease, and other information to provide us with the appropriate crops to cultivate informed by these conditions.
ViviendasLeón is excited to use this new tool to help us use current conditions to plan our harvests to maximize our resources. We would like to thank the DataGood team for their hard work and support of rural communities in Central America.
Our HCT coordinator, Leonor Zepeda has been working with the community to develop greater socio-economic development. To that end they have created a Rural Farmers Market idea, or Mercado Campesino where our local farmers can sell their produce and products to the community.Continue reading >