A comparison of spray drift predictions to lidar data

Stoughton, Thomas E.; Miller, David R.; Yang, Xin; Ducharme, Kirk M.

doi:10.1016/s0168-1923(97)00056-7

Cited by 30 publications

(15 citation statements)

References 11 publications

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“…Stoughton et al . [24] adapted LIDAR technology to measure pesticide movement above an oak forest. The LIDAR system was found to be a highly useful spray plume movement measuring tool, as evidenced by the return images of spray material aloft for up to 2000 m downwind and well up into the mixing layer.…”

Section: Introductionmentioning

confidence: 99%

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

Gil

Llorens

Casamada

et al. 2013

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

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

Gil

Llorens

Casamada

et al. 2013

Sensors

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“…High correlations between lidar and collector measurements of spray drift have been obtained in recent studies [19][20][21]. Lidar systems are also a suitable tool to validate spray-transport models [22] and dust plume dispersal models of agriculture field operations [23,24].…”

Section: Introductionmentioning

confidence: 95%

Polarization Lidar Detection of Agricultural Aerosol Emissions

et al. 2018

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Agricultural aerosol emissions can significantly impact human and animal health as well as the environment. Therefore, it is essential to adopt new sensing techniques for real-time monitoring these emissions in high temporal and spatial resolution. In recent years, light detection and ranging (lidar) technology has been used for measuring the particulate matter emitted from agricultural operations. However, conventional nonpolarized lidar systems cannot discriminate between different types of aerosols, which can lead to misinterpretation of the results. To overcome this limitation, this study applies the polarization lidar technique to monitor agricultural aerosols. A 355 nm polarization lidar system was used to measure the emissions generated during pesticide spraying operations. The results showed that depolarization ratios due to field dust (0.220-0.268) and to road dust (0.385) are clearly higher than those caused by pesticide spray drift (0.028-0.043) or by diesel exhaust (0.099), which can be used to differentiate each type of aerosol. These results support the development of new polarization lidar systems specifically designed to study the impact of agricultural activities on air quality.

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“…The lidar prototype was initially designed as an help for real-time monitoring of pesticide spray drift 7 , sometimes referred as plume movement tracking 8 . As recognized by the U.S. Environmental Protection Agency (EPA), the drift of spray from pesticide applications can expose people, wildlife and the environment to pesticide residues that can cause health and environmental effects and damage to the properties.…”

Section: Pesticide Drift Monitoringmentioning

confidence: 99%

Novel applications of an affordable short-range digital Lidar

et al. 2007

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The design and application results of an affordable short range (less than 100 m) digital LIDAR (LIght Detection And Ranging) system will be presented. This work was initiated because many short-range standoff detection applications would benefit from such a system. The lidar features a fiber-based component integrated in the optical module, which allows for hardware partial compensation of the backscattered signal losses observed at short distances due to a biaxial configuration of the lidar optics. This is an important advantage for particle density computations. The digitized backscattered laser signals are available for signal processing. A dedicated FPGA (Field Programmable Gate Array) allows for real-time averaging of the signal waveforms captured at the maximum 50-kHz pulse repetition frequency of the laser.Several application-specific tests have been performed. The first of these was real-time onboard monitoring of pesticide drift in agricultural spraying applications. The signal levels were sufficient for control of the spraying operations and prevention of pesticide drift into sensitive areas. The second was a dust monitoring application. The lidar was installed in a quarry and signals from dust clouds were recorded. Real-time monitoring capabilities were shown to be promising. Other applications involving detection of solid targets in degraded visibility conditions caused by fog or snowfalls were also tested and are discussed.

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A comparison of spray drift predictions to lidar data

Cited by 30 publications

References 11 publications

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

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

Polarization Lidar Detection of Agricultural Aerosol Emissions

Novel applications of an affordable short-range digital Lidar

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