Rice Plant Nitrogen Concentration Monitoring by Unmanned Aerial Vehicle-Based Imagery

2020 ◽  
Author(s):  
Titin Nuryawati ◽  
Ario Sunar Baskoro
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Rice Plant ◽  
Nitrogen Concentration ◽  
Plant Nitrogen ◽  
Aerial Vehicle

scholarly journals Enhancing the Nitrogen Signals of Rice Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery

2020 ◽  
Vol 12 (6) ◽  
pp. 957 ◽  
Author(s):  
Hengbiao Zheng ◽  
Jifeng Ma ◽  
Meng Zhou ◽  
Dong Li ◽  
Xia Yao ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Nitrogen Concentration ◽  
Leaf Nitrogen ◽  
Spectral Information ◽  
Growth Stages ◽  
Nitrogen Accumulation ◽  
Multispectral Imagery ◽  
Plant Nitrogen ◽  
N Nutrition ◽  
Aerial Vehicle

This paper evaluates the potential of integrating textural and spectral information from unmanned aerial vehicle (UAV)-based multispectral imagery for improving the quantification of nitrogen (N) status in rice crops. Vegetation indices (VIs), normalized difference texture indices (NDTIs), and their combination were used to estimate four N nutrition parameters leaf nitrogen concentration (LNC), leaf nitrogen accumulation (LNA), plant nitrogen concentration (PNC), and plant nitrogen accumulation (PNA). Results demonstrated that the normalized difference red-edge index (NDRE) performed best in estimating the N nutrition parameters among all the VI candidates. The optimal texture indices had comparable performance in N nutrition parameters estimation as compared to NDRE. Significant improvement for all N nutrition parameters could be obtained by integrating VIs with NDTIs using multiple linear regression. While tested across years and growth stages, the multivariate models also exhibited satisfactory estimation accuracy. For texture analysis, texture metrics calculated in the direction D3 (perpendicular to the row orientation) are recommended for monitoring row-planted crops. These findings indicate that the addition of textural information derived from UAV multispectral imagery could reduce the effects of background materials and saturation and enhance the N signals of rice canopies for the entire season.

scholarly journals CONCEPTUAL DESIGN OF BIRD-LIKE UNMANNED AERIAL VEHICLE FOR PEST BIRD CONTROL

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Buyung Junaidin ◽  
Dwi Hartini ◽  
Santo Herlambang
Keyword(s):  
Conceptual Design ◽  
Unmanned Aerial Vehicle ◽  
Rice Plant ◽  
Crop Yields ◽  
Static Stability ◽  
Stability Criteria ◽  
Crop Failure ◽  
Aerial Vehicle ◽  
Almost All ◽  
Longitudinal Static Stability

Finch (Lonchura) pest bird becomes a serious problem for rice-plant farmers when entering harvest period because it could make crop yields decreases or even crop failure. There are many method have been done for pest bird control but almost all of those are not effectives. Bird-like unmanned aerial vehicle is proposed as an alternative solution to control pest bird. The aim of this research is to do conceptual design of unmanned aerial vehicle which look like predator bird for pest bird control in farm area. The predator bird which means is black eagle (Ictinaetus Malaiensis) which is one of natural predators of small birds including finch family. Conceptual design of bird-like unmanned aerial vehicle follows general design process of aircraft with some simplification. Method of design adopt to Raymer’s method and sketching of black eagle planform especially wings and tail. The design results an unmanned aerial vehicle look like black eagle with cruise speed  is 10m/s and operational altitude 120m above sea level. From aerodynamics analysis shows that bird-like unmanned aerial vehicle which have designed fill lift requirement at angle of attack  3o and longitudinal static stability criteria.   

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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