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California Startup Deploys Autonomous Robots To Reduce Pesticide Use By 70%

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TRIC Robotics has made significant strides in deploying tractor-sized autonomous robots in California’s strawberry farms. The company’s innovative approach involves using UV-C light emitted by the robots to damage pest DNA and prevent reproduction, a method that is proving effective in eliminating pests such as mites, mildew and insects.

According to TRIC Robotics, nine of these autonomous robots are currently covering over 1,000 acres of strawberry fields, with each unit treating approximately 30 acres per night. This not only reduces pesticide use by up to 70 percent but also helps maintain crop productivity at scale. The system is being used as a chemical reduction approach rather than a full replacement, combining robotics, autonomy, and biological disruption to reshape the way farming is done.

The deployment of these robots in California’s strawberry farms has sparked interest in the potential for night-operated machines to redefine sustainable agriculture and lower environmental impact. TRIC Robotics’ expanding deployments across the state are demonstrating how this technology could be a game-changer in reducing pesticide use and promoting more environmentally friendly farming practices.

While some have raised concerns about the potential environmental impact of large-scale agricultural robotics, TRIC Robotics’ system appears to be addressing these concerns head-on. By using UV-C light instead of chemical pesticides, the robots are reducing the harm caused to beneficial insects and other non-target organisms. This approach also has the potential to reduce labor costs and improve crop yields, making it an attractive option for large commercial farms.

As TRIC Robotics continues to expand its deployments across California, it will be interesting to see how this technology is adopted by farmers in other regions. With its innovative use of robotics and UV-C light, the company is showing that sustainable agriculture can be achieved at scale without sacrificing crop productivity.

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