[PDF] Experimental Design Measurement Of Long Range Pesticide Deposition From Aerial Spraying eBook

Author : J. J. C. Picot
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 23,22 MB
Release : 1997
Category : Nature
ISBN : 9780792343714

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The book deals quantitatively with the generation, dispersion, and deposition of pesticide droplets on vegetation and with off-target drift of undeposited droplets. A computer simulation model of calculating dispersion, deposition, and drift is described with comparisons between calculated results and field measurement results. The model includes the effects of aircraft vortex, atmospheric turbulence, droplet evaporation, and droplet deposition on foliage. Model output includes values of droplet deposit density and size on foliage and ground as well as droplet concentration and size in the drift cloud. In addition, a detailed description of droplet atomizer characterization methods is presented along with a large number of atomizer spectrum results for atomizers in current use. An analysis of a number of forestry spraying innovations is presented. This text is an essential tool in assessing the efficacy and environmental impact of proposed and actual forest spray operations.

Author : Aerial Application Technology Workgroup
Publisher :
Page : 122 pages
File Size : 22,33 MB
Release : 1979
Category : Aerial spraying and dusting in agriculture
ISBN :

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Identifies and discusses 10 general problem areas related to forest and rangeland aerial spray application.

Author : Fiaz Ahmad
Publisher : BoD – Books on Demand
Page : 538 pages
File Size : 25,11 MB
Release : 2021-10-13
Category : Technology & Engineering
ISBN : 1838819215

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Food security is one of the primary themes of the United Nations’ Sustainable Development Goals. In this regard, agricultural engineering is considered the backbone of agriculture, and agricultural mechanization is considered a helpful way to enhance crop yield and farmers’ profitability. Technology in Agriculture presents research in the field of agricultural engineering technologies and applications in agricultural equipment engineering, biosystem engineering, energy systems engineering, and computers in agriculture. It provides an overview of recent advancements in agricultural engineering and examines key aspects of emerging technologies and their applications. In addition, the book explores modern methodologies such as artificial intelligence and machine learning for agricultural mechanization.

Author :
Publisher :
Page : pages
File Size : 16,46 MB
Release : 2004
Category :
ISBN :

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With widespread use of pesticides in modern agriculture, the impacts of spray drift have become a topic of considerable interest. The drifting of sprays is a highly complex process influenced by many factors. Advances in aerial application technology and in our ability to measure drift, coupled with the adoption of new technologies for regulating pesticide application have necessitated further research in the pesticide application process. Experiments were conducted to quantify spray drift and describe its movement from aerial applications of pesticide. The effects of spray quality, atomizer type and ground cover were examined. Initial airborne drift amounts were greater than downwind deposits, thus not all of the drifting spray was deposited in the measuring area. Total off-target movement of spray was significantly greater for Fine compared to Coarse sprays. Rotary and hydraulic atomizers, both producing Fine sprays, produced statistically similar off-target movement of sprays. Similarly, no significant statistical differences in spray drift between applications to bare ground and applications to a headed barley crop canopy were not identified. Contrary to expectations, aerial application to bare ground seemed to result in less off-target movement than application to a crop canopy. The vertical spray cloud profiles were similar for all applications with the greatest amount of spray present at the height of release. Spray concentrations diminished from that height upward with diffusion and downward with deposition. The empirical data disagreed with the mechanistic model AgDISP which is currently used in the Canadian regulatory process. The model over-predicted drift deposition by a factor of two to five. Variability in spray deposit values could not be attributed to average differences in meteorological conditions at the time of application. Experiments with appropriate protocols for increased sensitivity may be required to more accurately report subtle differences.

Author : Bradley K. Fritz
Publisher :
Page : 17 pages
File Size : 13,53 MB
Release : 2011
Category : Aerial spraying and dusting in agriculture
ISBN :

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The objective of this work is to evaluate a proposed test plan for the validation testing of pesticide spray drift reduction technologies (DRTs) for row and field crops, focusing on the testing of ground and aerial application systems under full-scale field evaluations. The measure of performance for a given DRT tested under field conditions is the downwind deposition as measured on horizontal fallout collectors. Ground and aerial application equipment were evaluated for in-swath and downwind deposition of sprays as applied by both a reference system and a drift reducing technology. For this study, the reference system was defined as a spray boom outfitted with the ASABE Fine/Medium boundary reference nozzles. For the ground system, the drift reducing system tested was a ground sprayer outfitted with an air-induction version of the reference nozzle. The aerial system DRT was a flat fan nozzle specifically designed for aerial application usage. Downwind deposition was measured from the edge of the swath out to 100 m downwind. Additionally, the airborne portion of the spray remaining suspended in the air at 50 m downwind was measured. There were a number of confounding issues with the measured data including poor recovery of deposits and non-ideal wind directions during specific replications. Even with these issues, the drift reduction between the reference and DRT system measured in the field for the aerial trials was similar to that estimated using the agricultural dispersion model. A number of additional improvements and checks are suggested prior to further field evaluations.