Optimization of the factors affecting droplet deposition in rice fields by rotary unmanned aerial vehicles (UAVs)

2021 ◽  
Author(s):  
Shuang Guo ◽  
Jiyu Li ◽  
Weixiang Yao ◽  
Xiaodan Hu ◽  
Xu Wei ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Rice Fields ◽  
Droplet Deposition ◽  
Factors Affecting ◽  
Aerial Vehicles

Analysis of Existing Electrostatic Spraying Systems for UAV

2020 ◽  
Vol 67 (2) ◽  
pp. 67-73
Author(s):  
Igor’ G. Smirnov ◽  
Rashid K. Kurbanov ◽  
Leonid A. Marchenko ◽  
Dmitriy M. Gorshkov
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Research Purpose ◽  
Working Fluid ◽  
Droplet Deposition ◽  
Processing Efficiency ◽  
Electrostatic Spraying ◽  
Aerial Vehicles ◽  
Electrostatic Charging ◽  
Analytical Review ◽  
Development Evaluation

The processing of agricultural crops using unmanned aerial vehicles is accompanied by the drift of the aerosol cloud under the influence of wind and the uneven density of droplet deposition on the surface of plants. We can improve the processing efficiency by implementing an electrostatic charging system for working fluid drops. (Research purpose) The research purpose is in preparing an analytical review of existing systems for electrostatic charging of working fluid droplets on unmanned aerial vehicles. (Materials and methods) Authors reviewed patents, scientific papers in the field of development, evaluation of the operation parameters and efficiency of the electrostatic spraying system of working fluid on unmanned aerial vehicles. The article gives criteria for the effectiveness of the electrostatic spraying system. (Results and discussion) Authors have described the main method of electrostatic charging of droplets, which has proven itself according to such criteria as safety, energy consumption and design simplicity. The article describes an electrostatic spraying system, the design and operating principle of which are the basis of modern systems for electric charging of working fluid drops installed on ground and aviation equipment. Authors found out the optimal flight altitude, which provides the highest density of working fluid drops on the treated surface. (Conclusions) The use of an electrostatic spraying system on unmanned aerial vehicles increases the density of droplets of sprayed liquid by 33 percent. The article shows that the use of nozzles with a fan-shaped spray torch reduces the distance of aerosol droplets drift in a crosswind by 1.5-2 times compared to nozzles with a cone-shaped spray torch. The electrostatic spraying system slightly increased the density of droplet deposition in the lower part of the plants (targets).

scholarly journals Environmental Factors Affecting Situation Awareness in Unmanned Aerial Vehicles

2009 ◽  
Author(s):  
Prasanna Velagapudi ◽  
Sean Owens ◽  
Paul Scerri ◽  
Michael Lewis ◽  
Katia Sycara
Keyword(s):  
Environmental Factors ◽  
Unmanned Aerial Vehicles ◽  
Situation Awareness ◽  
Factors Affecting ◽  
Aerial Vehicles

scholarly journals Effect of Aviation Spray Adjuvants on Defoliant Droplet Deposition and Cotton Defoliation Efficacy Sprayed by Unmanned Aerial Vehicles

Agronomy ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 217 ◽  
Author(s):  
Qinggang Xiao ◽  
Fang Xin ◽  
Zhaoxia Lou ◽  
Tingting Zhou ◽  
Guobin Wang ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Vegetable Oil ◽  
Impurity Content ◽  
Coverage Rate ◽  
Droplet Deposition ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Spray Adjuvants

Defoliant spraying is an important aspect of mechanized cotton harvesting. Fully and uniformly spraying defoliant could improve the quality of defoliation and reduce the impurity content in cotton. Improving the coverage of defoliant droplets in the middle and lower layers of cotton and ensuring the full and even dispersion of droplets in the cotton canopy are essentially in increasing the defoliation effect. In this study, we assessed the effect of aviation spray adjuvants on droplet deposition, defoliation, boll opening and defoliant retention in cotton leaves sprayed by an unmanned aerial vehicle (UAV). The results showed that adding aviation spray adjuvants could significantly improve the defoliant droplet deposition. Fifteen days after spraying, the defoliation rate was 80.31% and the boll opening was 90.61%. The defoliation rate increased by 3.12–34.62% and the boll opening rate increased by 6.67–29.56% after the addition of aviation spray adjuvants. Using a vegetable oil adjuvant could significantly increase the droplet coverage rate and the retention of defoliants in cotton leaves.

Assessing the factors affecting implementation of unmanned aerial vehicles in Indian humanitarian logistics: a g-DANP approach

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aditya Kamat ◽  
Saket Shanker ◽  
Akhilesh Barve
Keyword(s):  
Supply Chain ◽  
Unmanned Aerial Vehicles ◽  
New Technology ◽  
Analytical Data ◽  
Analytic Network Process ◽  
Humanitarian Logistics ◽  
Content Type ◽  
Factors Affecting ◽  
Aerial Vehicles ◽  
Humanitarian Supply Chain

Purpose The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector. Design/methodology/approach This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further. Findings This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics. Practical implications The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain. Originality/value This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.

scholarly journals Analysis of factors affecting the speed of probabilistic target search using unmanned aerial vehicles

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987761
Author(s):  
Il-Kyu Ha ◽  
You-Ze Cho
Keyword(s):  
False Alarm ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Search Performance ◽  
Data Set ◽  
Target Search ◽  
Factors Affecting ◽  
Aerial Vehicles ◽  
Detection Probabilities ◽  
Aerial Vehicle

When searching for targets using unmanned aerial vehicles, speed is important for many applications such as the discovery of patients in a medical emergency. The speed of operation of actual unmanned aerial vehicles is strongly related to the performance of the camera sensor used for target recognition, search altitude, and the search algorithm employed by the unmanned aerial vehicle. In this study, the major factors affecting the speed of a probabilistic unmanned aerial vehicle target search are analyzed. In particular, simulations are performed to analyze the influence of the search altitude, sensor false alarm rate, and sensor missed detection rate on the required travel distance and the time required for a search. Furthermore, the search performance of an unmanned aerial vehicle is analyzed by varying the search altitude with fixed false alarm and missed detection probabilities. The simulation results show that the search performance is significantly affected by changes in the false alarm and missed detection probabilities of the sensor, and it confirms that the effect of the missed detection probability is greater than that of the false alarm probability. The second simulation proves that the altitude of an unmanned aerial vehicle is a very important factor for the speed of a target search. In particular, the result shows that, for a real data set, the search distance and time at 10 and 5 m are about 2.8 times and 14.3 times larger, respectively, than those at 20 m.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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