Soil Surgeon

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Inspiration

When researching this topic, we find out that all of our members had an affinity with this issue. Specifically, we all come from families who owned farms that suffered from this phenomenon in China.

What it does

Soil Surgeon identifies areas of weakness within the soil and assigns certain solutions to these salinization problems. These include reduction of heavy machinery, irrigation optimization, and increasing fertilizer. These solutions helped ensure that farms can achieve the best possible crop productivity.

How we built it

We built it using a MERN stack for the front end. We used a dataset generated by the "Global mapping of soil salinity change" research paper, and through this was able to identify certain aspects of soil salinization that could be addressed.

Challenges we ran into

Since many of us were new to React, setting up certain aspects of the MERN stack was sometimes challenging. Furthermore, working with the Google Earth API was extremely challenging because it lacked documentation due to the lack of usage for it. We had to overcome many challenges in analyzing an displaying the dataset.

Accomplishments that we're proud of

We are proud of being able to come up with a raster for the entire map that helps distinguish soil salinity levels between the different soils. We also are proud of being able to display the different solutions and overlay them with our map utility.

What we learned

We learned a lot about how the Google Earth API functions and how to link it with our machine learning models. We also learned a lot about MapBox and how to utilize its respective functions to analyze and change its appearance.