Fuzzy Corn

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  The decision tree used to evaluate soil

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  Some of the linguistic variables and their membership functions for various linguistic values

Inspiration

We're taking a class about computational intelligence, and wanted to apply what we learned to an agricultural theme.

What it does

This Jupyter notebook walks the user through the process of using fuzzy logic to evaluate how suited a given soil is to growing corn.

How we built it

We coded this Jupyter notebook in Python.

Challenges we ran into

Finding research that applied to our project, particularly in terms of soil phosphorus, potassium, and nitrate, was difficult. We originally planned to link the notebook with a soil composition database and use that to define our membership functions and test it, but we were unable to find a database with easily researchable attributes.

Accomplishments that we're proud of

We were able to create a program that takes crisp values relating to soil composition and tell you how suited your soil is to growing corn using a fuzzy logic system, which is pretty cool.

What we learned

We learned a lot about corn and what it needs!

What's next for Fuzzy soil

If we had more time, it would be interesting to link this to a database and see if we could find research that meshed nicely with the database.

References

• https://extension.unh.edu/resource/growing-sweet-corn-fact-sheet#:~:text=The%20ideal%20soil%20for%20corn,when%20there%20is%20an%20option
• https://www.ecofarmingdaily.com/grow-crops/grow-corn/soil-requirements/
• https://www.rhs.org.uk/soil-composts-mulches/soil-types
• https://www.realagriculture.com/2017/11/corn-school-how-long-does-it-take-to-add-1-percent-soil-organic-matter/#:~:text=Sand%20soils%20are%20typically%20in,be%204.5%25%20to%205%25
• https://forages.oregonstate.edu/ssis/soils/characteristics/depth
• https://extension.sdstate.edu/sites/default/files/2019-09/S-0003-14-Corn.pdf
• https://www.sciencedirect.com/science/article/pii/S0048969722042309

Built With

• jupyter
• python