Use of a Terrestrial LIDAR Sensor for Drift Detection in Vineyard Spraying

The use of a scanning Light Detection and Ranging (LIDAR) system to characterize drift during pesticide application is described. The LIDAR system is compared with an ad hoc test bench used to quantify the amount of spray liquid moving beyond the canopy. Two sprayers were used during the field test; a conventional mist blower at two air flow rates (27,507 and 34,959 m3·h−1) equipped with two different nozzle types (conventional and air injection) and a multi row sprayer with individually oriented air outlets. A simple model based on a linear function was used to predict spray deposit using LIDAR measurements and to compare with the deposits measured over the test bench. Results showed differences in the effectiveness of the LIDAR sensor depending on the sprayed droplet size (nozzle type) and air intensity. For conventional mist blower and low air flow rate; the sensor detects a greater number of drift drops obtaining a better correlation (r = 0.91; p < 0.01) than for the case of coarse droplets or high air flow rate. In the case of the multi row sprayer; drift deposition in the test bench was very poor. In general; the use of the LIDAR sensor presents an interesting and easy technique to establish the potential drift of a specific spray situation as an adequate alternative for the evaluation of drift potential.

[1]  J. C. van de Zande,et al.  Spray distribution when spraying potatoes with a conventional or an air-assisted field boom sprayer , 2002 .

[2]  P. Balsari,et al.  A test bench for the classification of boom sprayers according to drift risk , 2007 .

[3]  Masoud Salyani,et al.  Remote Measurement of Spray Drift from Orchard Sprayers Using LIDAR , 2003 .

[4]  D. Nuyttens,et al.  Experimental study of factors influencing the risk of drift from field sprayers, Part 1: Meteorological conditions , 2006 .

[5]  David R. Miller,et al.  Response of spray drift from aerial applications at a forest edge to atmospheric stability , 2000 .

[6]  Peter Hobson,et al.  Spray Drift from Hydraulic Spray Nozzles: the Use of a Computer Simulation Model to Examine Factors Influencing Drift , 1993 .

[7]  Masoud Salyani,et al.  EXTRAPOLATION OF DROPLET CATCH MEASUREMENTS IN AEROSOL APPLICATION TREATMENTS , 2011 .

[8]  David Nuyttens,et al.  The influence of operator-controlled variables on spray drift from field crop sprayers , 2007 .

[9]  David R. Miller,et al.  A comparison of spray drift predictions to lidar data , 1997 .

[10]  David Nuyttens,et al.  Drift from Field Crop Sprayers Using an Integrated Approach: Results of a Five-Year Study , 2011 .

[11]  J. C. van de Zande,et al.  Nozzle Classification for Drift Reduction in Orchard Spraying; Identification of Drift Reduction Class Threshold Nozzles , 2008 .

[12]  A. Escolà,et al.  Ultrasonic and LIDAR Sensors for Electronic Canopy Characterization in Vineyards: Advances to Improve Pesticide Application Methods , 2011, Sensors.

[13]  Paolo Marucco,et al.  A SYSTEM TO ASSESS THE MASS BALANCE OF SPRAY APPLIED TO TREE CROPS , 2005 .

[14]  Masoud Salyani,et al.  A Method for Assessing Drift Potential of a Citrus Herbicide Applicator , 2011 .

[15]  L. Bergström,et al.  Spray drift as influenced by meteorological and technical factors. , 2011, Pest management science.

[16]  Eduard Gregorio-Lopez,et al.  Characterisation of the LMS200 Laser Beam under the Influence of Blockage Surfaces. Influence on 3D Scanning of Tree Orchards , 2011, Sensors.

[17]  Raymond M. Hoff,et al.  A Rapid Acquisition Lidar System for Aerial Spray Diagnostics , 1989 .

[18]  H. S. Wolff,et al.  iRun: Horizontal and Vertical Shape of a Region-Based Graph Compression , 2022, Sensors.

[19]  Lars Bergström,et al.  Comparison of collectors of airborne spray drift. Experiments in a wind tunnel and field measurements. , 2011, Pest management science.

[20]  David Nuyttens,et al.  A meta analysis of spray drift sampling , 2011 .

[21]  Magnus Wang,et al.  A simple probabilistic estimation of spray drift—factors determining spray drift and development of a model , 2008, Environmental toxicology and chemistry.

[22]  J. C. van de Zande,et al.  Classification of spray applications for driftability, to protect surface water , 2000 .

[23]  Jordi Llorens,et al.  Georeferenced LiDAR 3D Vine Plantation Map Generation , 2011, Sensors.

[24]  David R. Miller,et al.  Dispersion of Fine Spray from Aerial Applications in Stable Atmospheric Conditions , 2006 .

[25]  Andrei B. Utkin,et al.  Evaluation of smoke dispersion from forest fire plumes using lidar experiments and modelling , 2006 .

[26]  J. C. van de Zande,et al.  Modelling spray drift from boom sprayers , 1997 .

[27]  U. Meier,et al.  Growth stages of mono- and dicotyledonous plants , 1997 .