How FarmLogs Is Building Software to Power the Future of Farming
stackshare.io
stackshare.io
Maybe in 20 years Farmlogs 2035 will be powering fully automated farming that will be beyond our current imagination in efficiency. Application of machine learning and evolutionary programming will lead to it doing things with seeds and crop planting patterns and watering frequency that will be outside of our ability to comprehend.
Because of this amazing improvement in efficiency, we will need much less land to support the population. Fields would lie fallow and be turned into condos. It is at this point that we will be past the point of no return. Further into the future, if Farmlogs AI 2075 just decides that it has other plans than feeding humans... or even if there was some weird "bug" that caused a severe downturn in crop yields for a year. We would have to scramble to grow enough food without the incomprehensible techniques used by the machines.
Ok... getting back to work now.
Farm equipment companies and chemical manufacturers have tried to offer this service before and failed. Partially it was way too early, but the main thing was farmers didn't trust them with all their data.
I think FarmLogs has the potential to be another YC unicorn if they stick it out and aren't acquired. Trust me if John Deere or Monsanto were to acquire them all hell would break loose.
My current knowledge is that we're looking to do that kind of thing: with the general goal of increasing sustainability and feeding people more. My hope is that more efficient farming, combined with careful attention to urbanist approaches, will actually allow reclaiming more land for land trusts & national forests.
There's a lot more in there now, but it's still built around boring record keeping software. I wouldn't even say accounting software.
We're ingesting shitloads of geospatial data specific to each field from government and third party sources, from weather data like historical rainfall and temperature, to in season and historical satellite imagery, to sensor readings from their own combines or smartphones.
This is going to help farmers understand their fields and how their crops are growing better and soon allow us to provide agronomic services like variable rate prescriptions. We're not predicting yield from NDVI. There is a correlation there, but like you said it's moderate.