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.

At a Senate Agriculture Committee hearing this week in Washington, D.C., senators and a panel of precision ag experts discussed how to address common barriers to the adoption of precision farming technology, including financing, connectivity and internet access.

A recent story has been making the rounds on ag websites about how a Canadian farmer agreed to a grain contract by texting a “thumbs-up” emoji. The farmer received a text message with an image of a grain contract offering to purchase 86 tons of flax for $17 per bushel.