On a farm in Phoenix, one person with an iPad can weed a field of vegetables that once required 20 workers on their hands and knees under a hot sun. The Duncan Family Farms employee controls the ...

The only constant in farming is change. As growers, we’re more than familiar with the concept, but that doesn’t mean the agents of change we’re currently facing—including a changing climate, rising ...

George van Vlaanderen used to spend hours each day moving fences so his dairy goats could graze on fresh forage. Now an app does the job. Van Vlaanderen, who makes cheese and kefir at Does’ Leap Farm ...

Have you ever wondered how a company known for its tractors could become a leader in robotics and AI? John Deere is doing just that, revolutionizing the farming industry with cutting-edge technology.

This is the final installment in our five-part series, “The Great Farm and Food Talent Search,” a look at the workforce issues facing American agriculture. Mechanization is the answer to rising H-2A ...

Necessity is the mother of invention, and farming is facing a bunch of necessities. There’s a major worker shortage. Farm land is shrinking while world population growth calls for higher food ...

As the world population continues to grow and the human population becomes more urbanized, there is an increasing demand for food. This has led to a rise in the use of agricultural technology and ...

Farmers depend on trade and technology—but neither is fully successful without trust. Trust is the bedrock on which trade and technology sit. To move goods and services across borders, you need to ...

Global food systems are under pressure to produce more with fewer inputs while reducing environmental damage. Precision ...

Overview AI in agriculture improves efficiency by enabling real-time decisions through data, sensors, and smart machines.Computer vision and AI systems reduce i ...

Learn how precision agriculture tools help farmers manage variability and increase profitability through the GEMS framework ...

Most agribusinesses already generate the inputs that artificial intelligence needs to be useful: yield history, soil tests, ...