scholarly journals Development of Unmanned Aerial Vehicle (UAV) Fixed-Wing for Monitoring, Mapping and Dropping applications on agricultural land

2021 ◽  
Vol 2111 (1) ◽  
pp. 012051
Author(s):  
ML Hakim ◽  
H Pratiwi ◽  
AC Nugraha ◽  
S Yatmono ◽  
ASJ Wardhana ◽  
...  
Keyword(s):  
Data Processing ◽  
Unmanned Aerial Vehicle ◽  
Development Process ◽  
Agricultural Land ◽  
Electronic Components ◽  
Monitoring Process ◽  
Mapping Process ◽  
Aerial Vehicle ◽  
The Military

Abstract UAV technology is used in various fields, namely the military, to strengthen defence, surveillance, dropping logistics. In addition, UAV applications are also used in agriculture. In this study, a fixed-wing UAV will be developed as a monitoring, mapping and dropping process. Several things were carried out in the development process, namely design, manufacturing, installing electronic components, and test flights. The results showed that the vehicle could carry out the mission well. The monitoring process is carried out to review land security. Besides that, it can monitor if there is a fire in agricultural land. In the mapping process, photo data processing taken in the context of the mapping is carried out into an orthophoto map. Meanwhile, in the dropping stage, the aircraft managed to drop a payload weighing 0.5 kg with a distance of 20m from a predetermined centre point. The dropped payload is also equipped with a parachute for increased safety and reduced speed when the payload is dropped.

scholarly journals Digitization of agricultural land using an unmanned aerial vehicle

2020 ◽  
Vol 548 ◽  
pp. 032002
Author(s):  
N V Abramov ◽  
S A Semizorov ◽  
S V Sherstobitov ◽  
M V Gunger ◽  
D A Petukhov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Agricultural Land ◽  
Aerial Vehicle ◽  
Land Using

Natural superficial water storage and aquifer recharge assessment in Brazilian savanna wetland using unmanned aerial vehicle and geophysical survey

2020 ◽  
Vol 8 (3) ◽  
pp. 224-244
Author(s):  
Lucas Moreira Furlan ◽  
Vania Rosolen ◽  
Jepherson Salles ◽  
César Augusto Moreira ◽  
Manuel Eduardo Ferreira ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Agricultural Land ◽  
Water Volume ◽  
Surface Model ◽  
Aquifer Recharge ◽  
Flow Paths ◽  
Subsurface Structures ◽  
Aerial Vehicle ◽  
High Resolution Images ◽  
Remote Sensing Techniques

Human pressure on the water resources provided by natural isolated wetlands has intensified in Brazil due to an increase in agricultural land equipped with irrigation. However, the amount of water stored in these areas and its contribution to aquifer recharge is unknown. This study aimed to quantify the amount of water that can be retained in a natural wetland and to propose a model of groundwater recharge. We used remote sensing techniques involving unmanned aerial vehicle to map the wetland and highlight its internal morphology, using a red–green–blue orthomosaic and a digital surface model. The 2-D inversion and a pseudo-3-D model from electrical resistivity tomography data were used to visualize the subsurface structures and hydrologic flow paths. The wetland is a reservoir storing up to 416.996 m3 of water during the rainy months. Distinct internal compartments characterize the wetland topography and different water-volume storage, lower in the border and higher in the center. A leakage point connects surface water to groundwater through direct vertical flow, which constitutes the aquifer recharge zone. Remotely sensed very high-resolution images allied with geophysical techniques allowed complete surface and subsurface imaging and offered visual tools that contributed to understanding the hydrodynamics of the wetland.

scholarly journals Unmanned Helicopter Type Aircraft for the Pesticides and Fertilizers Application

2020 ◽  
Vol 14 (1) ◽  
pp. 61-68
Author(s):  
L. A. Marchenko ◽  
M. V. Myzin ◽  
I. V. Kuznetsov ◽  
T. V. Mochkova ◽  
A. Yu. Spiridonov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Agricultural Land ◽  
Unmanned Aircraft ◽  
Nitrogen Fertilizers ◽  
Working Fluid ◽  
Unmanned Aerial Systems ◽  
Unmanned Helicopter ◽  
Agricultural Field ◽  
Technological Parameters ◽  
Aerial Vehicle

Digital agricultural production is based on robotic agricultural technologies for the use of pesticides and fertilizers using unmanned aerial systems, which are based on unmanned aerial vehicles for monitoring agricultural land, the pesticides application, fertilizers and other agrochemicals. (Research purpose) To develop an unmanned helicopter based aircraft for applying pesticides and fertilizers, and to substantiate its technological parameters. (Materials and methods) The authors used methodological recommendations on the use of chemicals in the precision farming system, regulatory and technical documentation for unmanned aircraft systems. (Results and discussion) The authors determined the unmanned aerial vehicle main flight technical and technological parameters for the implementation of the applying pesticides and fertilizers process. They established the dependences of its productivity on the norms of introducing working fluids of pesticides and fertilizers, the agricultural field length, and the approach distance to the field. (Conclusions) The authors developed a helicopter-type unmanned aerial vehicle of a coaxial design with a take-off mass of 280 kilograms and a payload of 50-80 kilograms, a rotor diameter of 5.3 meters, a constructive boom width with sprayers of 5 meters, a working flight height of 1-5 meters, a working speed of 40-60 kilometers per hour, the rate of working fluid of pesticides application 10-20 liters per hectare and nitrogen fertilizers 30-120 liters per hectare. They established rational values for the application rates of pesticides – 10-20 liters per hectare, the agricultural field length – at least 0.8 kilometers, ensuring maximum productivity in flight hour when processing the agricultural field. They showed that the flight distance minimizing from the runway to the field significantly increased the productivity of applying pesticides and fertilizers.

scholarly journals LANDSLIDE ACTIVITY MONITORING WITH THE HELP OF UNMANNED AERIAL VEHICLE

2015 ◽  
Vol XL-1/W4 ◽  
pp. 215-218 ◽  
Author(s):  
V. Peterman
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Unmanned Aerial Vehicle ◽  
Activity Monitoring ◽  
Landslide Monitoring ◽  
Landslide Activity ◽  
Aerial Vehicle ◽  
The Village ◽  
North Western ◽  
Geological Research

This paper presents a practical example of a landslide monitoring through the use of a UAV - tracking and monitoring the movements of the Potoska Planina landslide located above the village of Koroska Bela in the western Karavanke Mountains in north-western Slovenia. Past geological research in this area indicated slope landmass movement of more than 10 cm per year. However, much larger movements have been detected since - significant enough to be observed photogrammetrically with the help of a UAV. With the intention to assess the dynamics of the landslide we have established a system of periodic observations carried out twice per year – in mid-spring and mid-autumn. This paper offers an activity summary along with the presentation of data acquisition, data processing and results.

scholarly journals The IMPLEMENTATION OF AUTONOMOUS WAYPOINT IN RECONNAISSANCE PLANE (UNMANNED AERIAL VEHICLE) UAV GALAK-24 USE WITH MISSION PLANNER

2021 ◽  
Vol 2 (Oktober) ◽  
pp. 47-55
Author(s):  
Luthfan Herlambang ◽  
Eko Kuncoro ◽  
Muhamat Maariful Huda
Keyword(s):  
Remote Control ◽  
Unmanned Aerial Vehicle ◽  
Flight Data ◽  
Air Vehicle ◽  
Aerial Vehicle ◽  
The Military

Abstract: UAV or unmanned aerial vehicle is an air vehicle or what we often call an airplane that is controlled without a crew but controlled by a pilot remotely using a remote control. This study uses quantitative experiment methods because in this study it must be carried out when the UAV is flying using the autonomous waypoint method. Running the UAV with the autonomous waypoint method, we can use the Mission Planner software. First, we have to install the application on the mission planner and install pixhawk on the UAV which will act as the UAV brain that will receive and execute flight commands that will be sent by the mission planner later. The mission planner can also directly display flight data such as UAV altitude, UAV speed, UAV location, then the mission planner can also store flight data run by the UAV. The Autonomous waypoint method has been widely used in the military field, such as to carry out attacks on the enemy, reconnaissance, and patrol in an area quickly, and can also reduce casualties during combat operations.

A Cloud Computing-based Micro-Unmanned Aerial Vehicle System for Geological Disaster Surveys

2020 ◽  
Author(s):  
Gloria Xing ◽  
Mingzhi Zhang ◽  
Juan Ma ◽  
Zack Huang ◽  
Cong Liu
Keyword(s):  
Cloud Computing ◽  
Data Processing ◽  
Unmanned Aerial Vehicle ◽  
Flight Path ◽  
Computer Hardware ◽  
Cloud Platform ◽  
Geological Surveys ◽  
Path Control ◽  
Geological Disaster ◽  
Aerial Vehicle

<p>In recent years, Unmanned aerial vehicle (UAV) tilt photography, InSAR, LiDAR and other technologies have been used in the field of geological disaster surveys and research to varying degrees, with traditional field survey methods being unable to meet the requirements of rapid and subtilized geological surveys nowadays. Thanks to the rapid development of UAV tilt photogrammetry technology, UAVs have played an important role in geological disaster emergency investigations and geological surveys. However, there are still some problems with the application of UAVs: 1. Geological disaster investigators who commonly hold degrees in geology find it difficult to learn how to operate UAVs; 2. professional UAV pilot training involves high costs and long training cycles, and meanwhile, UAV platforms and their loaded multi-lens tilt cameras are of high value, which render UAVs impossible to use as a standard accessory for geological disaster investigation teams; and 3. professional 3D modelling software is expensive and requires highly configured computer hardware, and in field scenarios, it usually has poor timeliness in terms of data processing. A micro-UAV system, mainly consisting of a UAV flight path control app (supporting Android/IOS) and a web-based data processing cloud platform, has been developed to solve the problems emerging in UAV-based geological disaster surveys, such as the difficult data collection, slow data processing, and high human involvement. The system integrates existing consumer-grade micro-UAV hardware and our newly designed UAV path planning and photogrammetry modes applicable in geological disaster surveys to achieve the fast acquisition of images, DOM, DSM, 3D models and point cloud data for geological disaster survey areas, based on high-speed processing and multi-node distributed GPU cluster technology. The main goal of this micro-UAV geological disaster surveying system is to rapidly acquire, transmit, process and distribute large-scale three-dimensional geographic information for small areas. The UAV flight path control app features one-click take-off and automatic landing, and the web data-processing cloud platform can realize one-click automatic data processing. The system has good application prospects due to its low cost and easy operation, and the fact that it can be widely used as a standard accessory by teams in various geological disaster investigations.</p><p><strong>Keywords</strong>: micro-UAV system, cloud computing, geological disaster survey, rapid and subtilized survey</p>

scholarly journals Robotic Flight Systems and Applications

2018 ◽  
Vol 1 (1) ◽  
pp. 216-222
Author(s):  
Dilehan Avşar ◽  
Gökhan Avşar
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Agricultural Production ◽  
Soil Structure ◽  
Agricultural Land ◽  
Soil Health ◽  
Plant Health ◽  
Agricultural Lands ◽  
Technology Industry ◽  
Aerial Vehicle ◽  
Percent Efficiency

Drone technology is becoming more and more popular in our lives. Drone technology; industry, art, agricultural production, and many other areas are heavily used. With the system called Agricultural Unmanned Aerial Vehicle (DRONE), at least 10 percent efficiency is expected to be achieved every year in agricultural land. In practice, agricultural lands are examined and the places where intervention is needed for soil health are determined. With the multispectral camera on it, the appearance of the land is examined and a soil map is taken and it is determined that the area of 100 hectares is photographed in 30 minutes. As a result, soil structure is analyzed, chlorophyll map is created, plant health is examined and weeds are detected. Irrigation is also checked for difficulty. After the work, it is ensured that the producer can benefit from the soil in the most efficient way. In this study, you will be informed about the types of drone types used for agricultural purposes, whether you need to register a drone owner's vehicle, selected applications and what you can see in the images. with the help of a detailed literature, those experienced in different countries and in particular for agriculture to be evaluated will be determined case for Turkey.

scholarly journals Instrumentation of an Array of Ultrasonic Sensors and Data Processing for Unmanned Aerial Vehicle (UAV) for Teaching the Application of the Kalman Filter

2015 ◽  
Vol 75 ◽  
pp. 375-380 ◽  
Author(s):  
Juan S. Guerrero Guerrero ◽  
Aldo F. Contreras González ◽  
Jose I. Hernández Vega ◽  
Leticia A. Neira Tovar
Keyword(s):  
Kalman Filter ◽  
Data Processing ◽  
Unmanned Aerial Vehicle ◽  
Ultrasonic Sensors ◽  
Aerial Vehicle

scholarly journals On the question of the main elements of precision agriculture in Kostanay region on the example of LLP “Agricultural Experimental Station “Zarechnoye”

2021 ◽  
Vol 211 (08) ◽  
pp. 11-17
Author(s):  
D. Zhamalova ◽  
Marat Tashmuhamedov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Precision Agriculture ◽  
Aerial Photography ◽  
Crop Production ◽  
Near Infrared ◽  
Agricultural Land ◽  
The State ◽  
Technical Program ◽  
Aerial Vehicle ◽  
Program Transfer

Abstract. The purpose of the research is to analyze the quality of sowing operations (flaws, sifting), the completeness of seedlings based on multispectral images. The research was carried out in accordance with the purpose of implementing the scientific and technical program “Transfer and adaptation of precision farming technologies in the production of crop production on the principle of "demonstration farms (landfills)” in Kostanay region" in 2019. Methods. To perform monitoring work, an unmanned aerial vehicle of an airplane type was used; a multispectral (MS) camera equipped with sensors of the main channels. Agrotechnical requirements have been developed taking into account the data of the electronic map of fields and the specifics of the region. The analysis of the state of crops using an information and analytical resource was carried out. Results. A survey of agricultural crops was conducted in order to obtain data on the state of the fields by an unmanned aerial vehicle. Aerial photography was performed with the Make sense Red-Edge multispectral camera at an altitude of 300 meters. The survey was carried out over 19 fields in five spectral ranges: blue, green, red, extreme red, near infrared. Aerial photography data are the initial data for the construction of orthophotoplanes, digital surface models, 3D-models. After conducting a flyby of the territory, the general condition of agricultural land was analyzed. Measurements are made on the reference fields using a portable device – an N-tester. The scientific novelty lies in the fact that aerial photography of spring wheat, which is at the stage of 3–4 leaves, was carried out, which revealed changes in the NDVI value, which during the ground survey confirmed an increase in the degree of clogging by annual millet weeds of the selected areas.

scholarly journals Examining the Visual Attention of Pairs of Operators during a Low to High Workload Change

2019 ◽  
Vol 63 (1) ◽  
pp. 201-205
Author(s):  
Shannon P. Devlin ◽  
Jake R. Flynn ◽  
Sara L. Riggs
Keyword(s):  
Visual Attention ◽  
Unmanned Aerial Vehicle ◽  
Vehicle Control ◽  
Attention Allocation ◽  
Adaptation Process ◽  
Allocation Strategy ◽  
Control Task ◽  
High Workload ◽  
Aerial Vehicle ◽  
The Military

Dynamic and data-rich domains, like those found in the military, primarily rely on multiple operators’ visual attention. Of interest is to understand how shared visual attention impacts performance when workload changes and whether this informs the adaptation process between collaborators. Ten pairs of participants completed a simulated Unmanned Aerial Vehicle control task under two different workload conditions - first under low workload and then under high workload. The best and worst performing pairs were identified and further analyzed by assessing pairs’ percent gaze overlap and strategy when workload changed. The findings showed the best performing pairs not only had higher levels of percent gaze overlap on average, but also increased their percent gaze overlap as workload increased. Additionally, the best performing pairs engaged in the adaptation process with not only their actions, but their overall visual attention allocation strategy. These findings suggest systems and technology in these domains should allow operators to have access to their collaborator’s visual data, in order to provide the opportunity to adapt and dynamically collaborate under different workload conditions.

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