What is in this article?:
- Automatic pome, stone fruit thinning closer to reality
- Two-year probe
- New European studies of pneumatic thinning offer an alternative to chemical use.
- A Belgium researcher says air puffs can be computer-monitored to remove buds.
- Process offers a less invasive method of bud removal.
In his work, Baerdemaeker set up a pneumatic system for a two-year test in an orchard to determine the effects of air pressure, nozzle type, distance of nozzles from the buds, and plant phenology for removal efficiency trials.
Thinning grades as high as 93 percent and 74.5 percent, respectively, were achieved during dry and wet season testing, he reports.
“Pneumatic thinning was observed to reduce tree damage to a minimum since floral buds were removed at their natural breaking point,” Baerdemaeker added.
His team of researchers also developed a multispectral vision sensor which detects floral pear buds in pre-bloom stages.
During two flowering seasons, scenes were captured by the sensors at different optical wavebands in the visible and near infrared levels. This enabled researchers to use a canonical correlation analysis to discriminate pixel of the floral buds.
An image analysis technique was developed, he said, to translate that pixel classification into actual object recognition.
His work promises a potential relief in labor demand for farmers producing fruit in orchards. With labor shortages seeming to increase each year, the industry is closely monitoring these European studies on bud thinning, which recognizes 80 percent of the floral buds in the canopy using proper illumination.
Besides this, he developed a multispectral vision sensor capable of detecting floral pear buds during the phenological stages before bloom. During two flowering seasons, scenes were captured in the orchard at six distinct optical wavebands in the visible and near infrared region of the spectrum.
Measurements were conducted under controlled illumination. Using canonical correlation analysis, a spectral discrimination model was built that recognizes pixels originating from floral buds.
Hereafter, an image analysis technique was developed to translate the pixel classification to object recognition. This multispectral sensor can be used to increase the efficiency of pneumatic thinning or other thinning machines, and can as well be used independently for early-season yield estimation, Baerdemaeker said.
Note: T.J. Burnham is the editor of Western Farmer-Stockman, a sister publication of Western Farm Press. For more from the international conference on orchard research, visit www.FarmProgress.com and click on ‘Exclusives.’