AI platforms promise to deliver real time market insights in a way that humans never could, since AI has the ability to analyze much larger datasets than any single person. This post explores whether such market insight tools might actually lead to price fixing problems—illegal conduct under US law—rather than an increase in competitiveness.

45Z brings a lot of promises to midwestern corn farmers, but it also brings a lot of unanswered questions about what ag data is necessary to verify compliance and how such data will be used.

In 2022, the USDA announced a $3.1 billion program aimed at funding climate-smart commodity projects through collecting data, but a recent survey found that 58% of farmers do not trust government offices with their data.

The updated Core Principles require companies to explain whether data is anonymized and whether a farmer can opt out of contributing to the anonymized and aggregated dataset.

The evolution of precision agriculture and collection of agricultural data is providing farmers with tools to increase productivity and profitability. These core principles were originally developed by farmers, commodity organizations, and ag technology providers in 2014.

Midwestern politicians are drumming up support for increased oversight of foreign ownership of U.S. agricultural farmland.

"Ultimately, based upon the data and other evidence, the court agreed that raising the lake level impacted our client’s farming operation," writes Todd Janzen in his latest blog.

"The time has come for tech platforms to explain to users whether their data will be used to train AI platforms," says Todd Janzen, in the latest edition of the Janzen Ag Tech Blog.

Although AI and its simpler cousin machine learning (ML) have operated behind the scenes for years already, 2023 is the first time that AI and ML really entered the public discourse.