Application Technology Research Unit Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
Greenhouse Production Research Group (GPRG)
Virtual Grower
 

Research Project: BIOLOGICAL, MICROCLIMATE, AND TRANSPORT PROCESSES AFFECTING PEST CONTROL APPLICATION TECHNOLOGY

Location: Application Technology Research Unit

Title: Laboratory and Field Tests of Ultrasonic Sensors for Precision Sprayers

Authors
item Jeon, Hong Young
item Zhu, Heping
item Derksen, Richard
item Ozkan, H -
item Krause, Charles

Submitted to: Meeting Proceedings
Publication Type: Proceedings
Publication Acceptance Date: February 20, 2010
Publication Date: June 23, 2010
Repository URL: http://hdl.handle.net/10113/47343
Citation: Jeon, H.Y., Zhu, H., Derksen, R.C., Ozkan, H.E., Krause, C.R. 2010. Laboratory and Field Tests of Ultrasonic Sensors for Precision Sprayers. American Society of Agricultural and Biological Engineers International Meeting, June 20-23, 2010, Pittsburgh, Pennsylvania. ASABE Paper # 1008804.

Technical Abstract: Reliable function of sensors under rough field conditions is required for the development of variable-rate sprayers to deliver pest control agents to tree liners in ornamental nurseries. Two ultrasonic sensors were examined to identify how their durability and detection stability would be influenced by the changes in temperature, wind, dust, travel speed and spray cloud. One of the sensors did not perform satisfactorily under these conditions. The other had a 0.1% variation in root mean square error (RMSE) of the detecting distance before and after exposing to cold weather conditions. Mean RMSE was 8 % under dusty conditions, 1.5–1.8 % under windy conditions, and 12.3 % to 23 % for the travel speed ranging from 0.8 to 3.0 m/s. It also showed that increasing ambient temperature from 16.7 to 41.6 °C reduced the detection distance by 4.0 %. Detecting through spray cloud caused the RMSE to vary from 1.2 to 61.4 %, the largest measurement error among the six variables tested. To reduce the RMSE, optimal configurations between the sensor and spray nozzles were identified. In addition, synchronized multiple-sensor strategies were examined for improving the measurement stability and accuracy of the sensor while detecting targets.

   

 
Project Team
Zhu, Heping
Krause, Charles - Chuck
 
Publications
   Publications
 
Related National Programs
  Crop Production (305)
  Climate Change, Soils, and Emissions (212)
 
Related Projects
   DETERMINE FACTORS IN CONTROLLING PRECISION SPRAY APPLICATION TO NURSERIES AND FRUIT TREES
   EFFECTS OF ATMOSPHERIC HUMIDITY ON EVAPORATION RATES OF PHEROMONE
   INTELLIGENT SPRAY SYSTEMS FOR FLORAL AND ORNAMENTAL NURSERY CROPS
   INTELLIGENT SPRAY APPLICATIONS IN ORNAMENTAL NURSERIES IN OREGON AND WESTERN STATES
   ECONOMIC ANALYSIS FOR INTELLIGENT SPRAY APPLICATION IN FLORAL AND ORNAMENTAL NURSERY CROP PRODUCTION
   DEVELOP SOFTWARE FOR MODELS PREDICTING PEST ACTIVITY FOR INTELLIGENT SPRAYER DEVELOPMENT
   INTELLIGENT SPRAY APPLICATIONS IN ORNAMENTAL NURSERIES IN TENNESSEE AND SOUTH CENTRAL REGION STATES
   INTELLIGENT SPRAY APPLICATIONS IN ORNAMENTAL NURSERIES IN MIDWEST AND NORTHEAST REGION STATES
   Advancement in Precision Spray Application Technologies for Nurseries and Horticultural Crops
 
 
Last Modified: 06/19/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House