Team Name | DelAgricolSAS |
Track | AgTech & CPG |
Use Case | Implications of climate change on crops. A model to reduce waste and exploiting biodiversity. |
Technology | SAS/Python |
Region | EMEA |
Team lead | Gabriele Roggero (@elbarbag) |
Team members |
@PV_90 @mbrusati @StefanoMani @Vdima @simart @sp25 @ArunRam97 |
By cross-referencing climate data with data on global warming (scarcity of materials, water, rising temperatures) and subsequently with crop data, we set ourselves the goal of building a model that allows us to adapt crops in the light of these changes and adjust economic investments in order not to create imbalances between states. The model will try to show which crops the states will have to move towards to maintain a certain subsistence (where possible) and the socio-economic status acquired by limiting as much as possible the impoverishment of the population by correctly targeting investments.
It will be interesting to evaluate the consequent economic shifting between countries by identifying any stable / balance points of the model. Specifically, we will interface with a dynamic model that, as the parameters in the boundary vary, will have to search for its equilibrium point (or points). Modern AI and ML methods will be used for model development and training. If we succeed, we will publish all the results obtained on a dashboard. Developments will be done on the Viya platform using SAS and Python code.
Main data sources: http://www.fao.org/faostat/en/#data
crops data: http://www.fao.org/faostat/en/#data/QC
geo data: http://www.fao.org/faostat/en/#data/ET
warming and pollution data: http://www.fao.org/faostat/en/#data/GT
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