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Photo 2. Central growing point of purslane burned by lasers in a high density planting of spinach.
The Tensorfield machine captures images of the bed and breaks the treatment area into ½ inch squares. The computer then distinguishes between the crop and weeds and decides which of the squares can be treated to remove weeds but not spray the crop plants. Verdant Robotics is another company that also uses precision application of an herbicide to the weed plants and avoids the keeper plants (I have not seen this machine yet myself, but I have talked to growers that have seen this machine in operation and are excited by its potential).
In 2022 Carbon Robotics made the first deliveries of their laser weeder to growers producing onions, carrots and lettuce in the western US. The machine that is in use in the Salinas Valley is three 80-inch beds wide. It is capable of removing weeds from high density plantings such as baby lettuce, spinach and spring mix (Photo 1). The lasers focus energy to the growing point of young weed plants (Photo 2). It is most efficient for the machine to treat young weeds which allows it to spend less time and energy to kill each plant and thereby move more quickly through the field. One of the great advantages of the machine is its ability to remove weeds right next to the crop plants (Photo 3). Weeds growing right next to the crop plants are the most expensive weeds to remove; this is particularly the case in high density plantings.
The bottom line is that automated weeding has come a long way in just a few short years. The split blade autoweeders greatly improved the capacity to remove a significant number of weeds from production fields. The advent of autoweeders that can precisely apply an herbicide or laser energy to weeds that are right up against crop plants takes autoweeding to a whole new level and opens the possibility for machine weeding to remove sufficient weeds from a field so that little to no follow-up hand weeding is necessary during a crop production cycle. This is truly extraordinary.
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Source : ucanr.edu