Hey chicago shout out, this is neat but holy smokes 'array of things (AoT)'? It seems like its just a network of sensors, i thought that was internet of things.

it's things. it's in an array. what did you want?

Branding my friend... it's all in the branding :)

If you're interested in the project, feel free to contact me (info in profile).

Check out Agrible. agrible.com and morning farm report which is our flagship delivery platform. Instead of focusing on data collection/organization (a digital farm notebook) we are focused on predictive analytics which is essentially decision support for the grower. We combine high res weather / soil / field info and have a built a model that literally is growing virtual crops and we are using our model to predict yields at the end of the growing season!

came here to say this. going to go off and listen to it now

Currently working at UIUC at a relatively new startup and yes there is a good community building here. There is lots of agricultural innovation going on here and having giants like John deere, adm, ABinBev as well as tech companies like said yahoo hadoop analytics group. Cool to see some UIUC research park love here on hacker news. Can't wait to get up and go back to work at the research park where I will be hacking on python all day!

I don't get what is so impressive about what is essentially an accounting app. it's a well done technology but some people get so carried away by this farm tech stuff... a CRUD app is not going to make farms more productive... I've seen that farmlogs is using satellite NDVI data now to predict yields etc.... I've done a data science project and found the the NDVI has minimal correlation to yield. part of we thinks that this is a group of CS people pretending to be ag engineers. ..

I think that was the point of the podcast. It started as a typical and shitty CakePHP / Backbone CRUD app like everything else. You don't need much to get started.

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.