Colorado State University tests AI to enhance farming efficiency amid historic drought

At Colorado State University’s experimental farm in Fruita, innovative research is underway to address pressing agricultural challenges like water scarcity and inefficient resource use. Under the leadership of Perry Cabot, an extension professor specializing in irrigation and water resources, the team is implementing artificial intelligence (AI) to refine irrigation techniques, aiming to conserve water and enhance crop production.

The project, supported by the Colorado River District, the U.S. Department of Agriculture, and Colorado State University itself, focuses on a 12-acre field equipped with a sophisticated linear move irrigation system. This system, which can adjust water delivery every 40 feet across the field, is central to the team’s research into precision agriculture.

Using machine learning, a form of AI that involves training algorithms to make decisions based on data, the researchers are developing irrigation “prescriptions.” These prescriptions help determine the optimal amount of water needed by crops at different field zones, taking into account various factors such as crop water use and soil moisture capacity.

Cabot explains that the goal is to ensure crops receive adequate water to meet their needs without overuse, which can lead to issues like soil rutting or water wastage. This is increasingly critical in the context of ongoing droughts affecting the Colorado River basin, prompting a need for more judicious use of water resources.

The team utilizes drones equipped with infrared and ultraviolet sensors to gather detailed data about the field conditions. This data includes temperature readings and light spectrum analysis, which are crucial for understanding crop health and water needs. The vast amount of data collected is too complex for manual analysis, making AI an indispensable tool in synthesizing information and providing actionable insights.

As this technology develops, Cabot envisions a future where farmers can more easily manage their irrigation needs with the touch of a button, improving both crop yields and profitability. The project is set to continue for several more years, refining its approach and demonstrating the practical benefits of AI in agriculture.