scholarly journals Technology for Processing Large Areas of Vegetative Plants

2021 ◽  
Author(s):  
Mikhail Gennadevich Danilovskikh
Keyword(s):  
Laser Radiation ◽  
Unmanned Aerial Vehicle ◽  
New Technology ◽  
Mobile Platform ◽  
Stages Of Growth ◽  
Aerial Vehicle ◽  
Thermal Intensity ◽  
Agricultural Areas ◽  
Optical Laser

A new technology for processing vegetative plants on large agricultural areas at night with a UAV is described. The use of an unmanned aerial vehicle as a mobile platform with a device attached to it for stimulating non-thermal intensity of vegetative plants with optical laser radiation at various stages of ontogenesis contributes to the development of plants at the initial stages of vegetation and, as a consequence, at later stages of growth, increasing their resistance to certain diseases and productivity., which allows at the stage of storage to significantly increase the safety of the crop without additional investment in the vegetable store.

scholarly journals Optimal Timing Assessment for Crop Separation Using Multispectral Unmanned Aerial Vehicle (UAV) Data and Textural Features

2019 ◽  
Vol 11 (15) ◽  
pp. 1780 ◽  
Author(s):  
Jonas E. Böhler ◽  
Michael E. Schaepman ◽  
Mathias Kneubühler
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Optimal Timing ◽  
Textural Features ◽  
Data Sets ◽  
Average Accuracy ◽  
Very High Spatial Resolution ◽  
Agricultural Applications ◽  
Aerial Vehicle ◽  
Winter Crops ◽  
Agricultural Areas

The separation of crop types is essential for many agricultural applications, particularly when within-season information is required. Generally, remote sensing may provide timely information with varying accuracy over the growing season, but in small structured agricultural areas, a very high spatial resolution may be needed that exceeds current satellite capabilities. This paper presents an experiment using spectral and textural features of NIR-red-green-blue (NIR-RGB) bands data sets acquired with an unmanned aerial vehicle (UAV). The study area is located in the Swiss Plateau, which has highly fragmented and small structured agricultural fields. The observations took place between May 5 and September 29, 2015 over 11 days. The analyses are based on a random forest (RF) approach, predicting crop separation metrics of all analyzed crops. Three temporal windows of observations based on accumulated growing degree days (AGDD) were identified: an early temporal window (515–1232 AGDD, 5 May–17 June 2015) with an average accuracy (AA) of 70–75%; a mid-season window (1362–2016 AGDD, 25 June–22 July 2015) with an AA of around 80%; and a late window (2626–3238 AGDD, 21 August–29 September 2015) with an AA of <65%. Therefore, crop separation is most promising in the mid-season window, and an additional NIR band increases the accuracy significantly. However, discrimination of winter crops is most effective in the early window, adding further observational requirements to the first window.

scholarly journals UAV photogrammetry for road surface modelling

2015 ◽  
Vol 10 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Birutė Ruzgienė ◽  
Česlovas Aksamitauskas ◽  
Ignas Daugėla ◽  
Šarūnas Prokopimas ◽  
Virgaudas Puodžiukas ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
New Technology ◽  
Spatial Models ◽  
Surface Model ◽  
Accuracy Evaluation ◽  
Control Points ◽  
Technology Application ◽  
The Road ◽  
Aerial Vehicle ◽  
Project Data

Recently, the interest of Unmanned Aerial Vehicle application in photogrammetric environment for roads observation and monitoring has increased in many countries, in Lithuania as well. The experimental object for demonstration of capability and efficiency of aerial vehicle-based remote sensing technology for road data collection was a western bypass of Vilnius. The platform of the model UX5 Trimble with mounted camera Sony NEX-5R was applied for gaining images. The implemented means are mobile and not expensive. Photogrammetric technique with software package Business Center Photogrammetry Module was applied for the modelling of images. The correctness of digital surface model generally depends on camera resolution, flight height and accuracy of ground control points. The coordinates of control points were determined using Global Positioning System Trimble R4. Paper demonstrates results of a new technology application possibilities for linear object (road) mapping and accuracy evaluation of spatial models. The road points positioning accuracy investigation was carried out in consideration with geodetic control measurements. The average root mean square error for the points coordinates is 2.94 cm, and standard deviations – 2.78 cm. Analyzing coincidence or mismatches of Vilnius western bypass project data with photogrammetric product, not significant discrepancies of road section features were determined. The cost consideration of Unmanned Aerial Vehicle in conjunction with photogrammetry employment at experimental object is presented.

scholarly journals The model relates to an substation inspection robot carrying a Unmanned Aerial Vehicle

2021 ◽  
Vol 2087 (1) ◽  
pp. 012049
Author(s):  
Dekai Chen ◽  
Boshui Xue ◽  
Ruofeng Sun
Keyword(s):  
Information Transmission ◽  
Monitoring System ◽  
Unmanned Aerial Vehicle ◽  
Mobile Platform ◽  
Robot Controller ◽  
Inspection Robot ◽  
Wireless Router ◽  
Control Command ◽  
Aerial Vehicle ◽  
Robot Body

Abstract A kind of substation inspection robot carrying unmanned aerial vehicle(UAV) was studied to solve the problems of complex indoor environment of substation, high intensity of manual inspection and low efficiency of traditional inspection method. Using robot mobile platform connected to the robot controller of ontology, the robot controller of ontology through wireless router and background monitoring system for information transmission and according to the background monitoring system control command control robot mobile platform preset in the transformer substation inspection lines and parking. Walking on the robot mobile platform is equipped with the UAV. Wireless information transmission between the UAV and the robot body controller, take-off and landing controlled by the robot body controller and the camera component on the UAV takes pictures of the equipment and instruments of the substation so as to complete the substation inspection work safely and reliably.

Study on Fault Diagnosis of Planetary Gearbox in Unmanned Aerial Vehicle Using Multi sensor Data

2020 ◽  
Vol 20 (4) ◽  
pp. 332-342
Author(s):  
Hyung Jun Park ◽  
Seong Hee Cho ◽  
Kyung-Hwan Jang ◽  
Jin-Woon Seol ◽  
Byung-Gi Kwon ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Unmanned Aerial Vehicle ◽  
Sensor Data ◽  
Planetary Gearbox ◽  
Aerial Vehicle

Results of Spatial Structure of Atmosphere Radiation in a Spectral Range (1.5–2) µm Research

2018 ◽  
pp. 7-13
Author(s):  
Anton M. Mishchenko ◽  
Sergei S. Rachkovsky ◽  
Vladimir A. Smolin ◽  
Igor V . Yakimenko
Keyword(s):  
Spatial Structure ◽  
Unmanned Aerial Vehicle ◽  
Wavelength Range ◽  
Spectral Range ◽  
Near Ir ◽  
Optoelectronic Systems ◽  
Aerial Vehicle

Results of experimental studying radiation spatial structure of atmosphere background nonuniformities and of an unmanned aerial vehicle being the detection object are presented. The question on a possibility of its detection using optoelectronic systems against the background of a cloudy field in the near IR wavelength range is also considered.

Positioning the Angle of Attack Sensor on an Unmanned Aerial Vehicle Wing

2016 ◽  
Vol 3 (1) ◽  
pp. 25-33
Author(s):  
Amir Birjandi ◽  
◽  
Valentin Guerry ◽  
Eric Bibeau ◽  
Hamidreza Bolandhemmat ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Angle Of Attack ◽  
Aerial Vehicle
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