Forbes August 30, 2025
In agriculture, digital twins are emerging as a powerful way to manage resources more efficiently. These virtual replicas of farmland integrate real-time data from sensors, drones, and weather stations to simulate crop growth, soil health, and environmental impacts. Farmers can test strategies for irrigation, fertilization, and pest control in a risk-free virtual environment before implementing them in the field.
Institutions like Texas A&M AgriLife Research are building digital twins for South Texas crops, while ag-tech company LandScan has secured a patent for almond production optimization. By combining AI models with field-level data, these systems can forecast harvest outcomes six to eight weeks in advance, improving resource efficiency by up to 30% and increasing yields by as much as 20%.
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