What is in this article?:
- Automated lettuce thinner moves closer to reality
- Machine vision
- University of Arizona (UA) automated lettuce thinner machine research aims to reduce lettuce thinning costs for U.S. commercial iceberg and romaine lettuce growers.
- Second-generation prototype would free up farm workers for other tasks.
- Prototype will be tested in commercial lettuce fields this fall – has potential use in other vegetable crops.
- UA seeks grower input to fine tune prototype to meet commercial production needs.
“The machine vision system identifies each plant and makes decisions based on pre-set user control settings on which plants to keep and terminate,” Herbon said. “We catch the color image, process it, and identify whether the image is a plant or the soil.”
An optical shaft encoder mounted to a wheel tracks the machine’s location in the field. An interface in the tractor cab allows the operator to tweak the machine settings as needed.
The final piece of the puzzle is choosing a preferred method for plant termination. Initial methods tested by Siemens and Gayler included a mechanical knife – a modified ‘hula hoe’ - which moved vertically through a pneumatic cylinder to destroy unwanted plants.
“In some field conditions the mechanical knife works fairly well,” Siemens said. “This method has real potential in organic lettuce production and for those who prefer not to apply a spray solution.”
Other tested methods included a flamethrower, pressurized water, blasting, and other techniques.
“Based upon our overall tests, spraying a liquid form to kill the unwanted plants probably has the most potential for widespread commercial use,” Siemens said.
The first replicated trial of various spray products was conducted in January in a furrow-irrigated lettuce field at the YAC. Products tested included the fertilizers AN20 and UAN32, sulfuric acid, paraquat, and acetic acid – a herbicidal vinegar with 20 percent acid.
“The sulfuric acid and paraquat results were very encouraging,” Siemens said. “Nearly all of the targeted plants were killed and the system performance was as good as hand thinning. The herbicidal vinegar worked well and could be an additional good option to thin organic lettuce.”
Selecting a product to move forward with will depend on a variety of factors including effectiveness, costs per acre, environmental concerns, and other issues.
For now, Siemens and his project team members envision keeping the single-bed modular unit design which would accommodate beds up to 42 inches wide. Multi-bed machines comprised of multiple modular units would attach to the same tool bar.
“Growers in California and Arizona may have to slightly modify their growing practices for the machine to work optimally,” Siemens said. “The current machine design works best on well prepared, smooth, level beds with plants uniformly spaced approximately 2 or more inches apart. We could probably thin plants spaced closer together but we have not tried it. The minimum plant spacing requirement has yet to be determined.”
The UA is exploring patent opportunities for the proprietary technology. The long-term goal is to fine-tune the system to best meet the needs of commercial lettuce growers.
Siemens is seeking grower input on the preferred machine speed, the number of acres needed to thin per hour, the preferred machine bed width, and the maximum allowable machine weight to limit bed compaction.
Siemens wants to incorporate machine changes and test the upgraded prototype in commercial lettuce fields this fall.
“We want to make the machine as versatile and user friendly as possible, and possibly adapt the machine to other crops grown in the area,” Siemens said.
Others who have provided input into lettuce thinner development include Kurt Nolte, UA area Extension agent, Yuma County, and Davie Brooks of the Pasquinelli Produce Company.
The thinner research was launched in 2008. Siemens initially surveyed local growers asking for the top mechanized equipment needed in vegetable production. The top answer was an automated lettuce thinner.
For more information, contact Siemens at (928) 782-3836 or email@example.com.