IMPLEMENTING IPM IN KENTUCKY COMMERCIAL APPLE ORCHARDS
نویسندگان
چکیده
منابع مشابه
Robotic Surveying of Apple Orchards
We present a novel system for surveying apple orchards by counting apples and estimating apple diameters. Existing surveying systems resort to active sensors, or high-resolution close-up images under controlled lighting conditions. The main novelty of our system is the use of a traditional low resolution stereo-system mounted on a small aerial vehicle. Vision processing in this set up is challe...
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Alternative ways to control caterpillar pests and reduce the use of pesticides in apple orchards are in the interest of the environment, farmers and the public. Great tits have already been shown to reduce damage under high caterpillar density when breeding in nest boxes in an experimental apple orchard. We tested whether this reduction also occurs under practical conditions of Integrated Pest ...
متن کاملReleases of insectary-reared Galendromus occidentalis (Acari: Phytoseiidae) in commercial apple orchards.
Galendromus occidentalis (Nesbitt) is one of several phytoseiid species that are available for purchase to supplement endemic predator populations that are not providing sufficient control of spider mites. We performed a series of releases of commercially reared G. occidentalis in commercial apple (Malus domestica Borkhausen) orchards in Washington from 2010 to 2012. Releases of up to 50,000 mi...
متن کاملEvaluation of pheromone-based management strategies for dogwood borer (Lepidoptera: Sesiidae) in commercial apple orchards.
The dogwood borer, Synanthedon scitula (Harris) (Lepidoptera: Sesiidae), is a serious wood-boring pest of apple in eastern North America. The recent identification of its sex pheromone and systematic documentation of the effect of a potent behavioral antagonist affords the opportunity to develop pheromone-based management strategies for this important pest. Here we evaluated the potential of ph...
متن کاملAutomated Crop Yield Estimation for Apple Orchards
Crop yield estimation is an important task in apple orchard management. The current manual sampling-based yield estimation is time-consuming, labor-intensive and inaccurate. To deal with this challenge, we developed a computer vision-based system for automated, rapid and accurate yield estimation. The system uses a two-camera stereo rig for image acquisition. It works at nighttime with controll...
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ژورنال
عنوان ژورنال: HortScience
سال: 1993
ISSN: 0018-5345,2327-9834
DOI: 10.21273/hortsci.28.4.275g