Inspiration

Since 2015, there has been an average of 1.8 million acres of farmland lost in the U.S. And an overwhelming 73% of farmers identify as 2nd-generational or more. As well as the fact that certain crops grow better in certain soil. Making millions of acres not being used to their full feeding potential. These issues apply to everyone globally. It is really hard to get into farming as you can only really learn it from experience rather than from a university. This is what Farmer's Friend plans to solve.

What it does

It assists aspiring farmers into getting into the industry with personalized crop + fertilizer recommendations, farmability score of their land, crop disease detection, personalized cash grants (U.S. only), and tutorials.

How we built it

I built it using pytorch for the disease detection, pandas for the personalized recommendations, django for the back-end, and html + css + bootstrap for the front-end. I also had trouble finding a good color scheme

Challenges we ran into

I couldn't find a public dataset for the grants, so I had to make my own which took a long time. Same with the fertilizers so I had to make my own also. My trained pytorch model wasn't loading as I usually load it so it took a while on stackoverflow to get that covered. Lastly, I had a bit of trouble finding a good color scheme.

Accomplishments that we're proud of

I'm proud I was able to add all the cool features I planned of, I was a bit nervous I wasn't going to get it finished but it all worked out well in the end.

What we learned

I learned more about how to use the google maps apis and pandas.

What's next for Farmer's Friend

I hope that I can make a more expansive tutorial page to answer any question, add a marketplace for farmer's to sell their goods nearby, and to expand my grant page to include people outside the U.S.!

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