The research represents a breakthrough in differentiating weeds from crops using machine vision systems. The technology could help California growers address challenges in managing weeds in in dozens of crops with limited herbicide options, and significant hand-weeding costs due to a growing labor shortage.
“California growers would benefit from improved weeding technology,” said Fennimore. “This technology certainly has commercialization potential by improving the accuracy, speed and reliability of weed/crop differentiation by weeding machines.”
Awarded by the European Society of Agricultural Engineers, the EurAgEng Outstanding Paper Award is only awarded once every two years and is selected out of all the papers published in Biosystems Engineering.
- Automated weeders are attracting more interest
- ‘Dino,' a driverless weed-removing cultivator — Steve Fennimore testing it at UC Davis [VIDEO]