scholarly journals A Novel Approach for Development and Evaluation of LiDAR Navigated Electronic Maize Seeding System Using Check Row Quality Index

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5934
Author(s):  
Nrusingh Charan Pradhan ◽  
Pramod Kumar Sahoo ◽  
Dilip Kumar Kushwaha ◽  
Indra Mani ◽  
Ankur Srivastava ◽  
...  
Keyword(s):  
Quality Index ◽  
Light Emitting Diode ◽  
Lag Time ◽  
Vital Role ◽  
Growth And Yield ◽  
Measurement Unit ◽  
Forward Speed ◽  
Linear Speed ◽  
Maize Seeds ◽  
Novel Approach

Crop geometry plays a vital role in ensuring proper plant growth and yield. Check row planting allows adequate space for weeding in both direction and allowing sunlight down to the bottom of the crop. Therefore, a light detection and ranging (LiDAR) navigated electronic seed metering system for check row planting of maize seeds was developed. The system is comprised of a LiDAR-based distance measurement unit, electronic seed metering mechanism and a wireless communication system. The electronic seed metering mechanism was evaluated in the laboratory for five different cell sizes (8.80, 9.73, 10.82, 11.90 and 12.83 mm) and linear cell speed (89.15, 99.46, 111.44, 123.41 and 133.72 mm·s−1). The research shows the optimised values for the cell size and linear speed of cell were found to be 11.90 mm and 99.46 mm·s−1 respectively. A light dependent resistor (LDR) and light emitting diode (LED)-based seed flow sensing system was developed to measure the lag time of seed flow from seed metering box to bottom of seed tube. The average lag time of seed fall was observed as 251.25.39 ms at an optimised linear speed of cell of 99.46 mm·s−1 and forward speed of 2 km·h−1. This lag time was minimized by advancing the seed drop on the basis of forward speed of tractor, lag time and targeted position. A check row quality index () was developed to evaluate check row planter. While evaluating the developed system at different forward speeds (i.e., 2, 3 and 5 km·h−1), higher standard deviation (14.14%) of check row quality index was observed at forward speed of 5 km·h−1.

Novel Approach of Improving Secondary Electron Detector in FIB System

2018 ◽  
Author(s):  
Steve Wang ◽  
Jim McGinn ◽  
Peter Tvarozek ◽  
Amir Weiss
Keyword(s):  
Integrated Circuit ◽  
Secondary Electron ◽  
Focused Ion Beam ◽  
Ion Beam ◽  
Vital Role ◽  
Electron Detector ◽  
System A ◽  
Novel Approach

Abstract Secondary electron detector (SED) plays a vital role in a focused ion beam (FIB) system. A successful circuit edit requires a good effective detector. Novel approach is presented in this paper to improve the performance of such a detector, making circuit altering for the most advanced integrated circuit (IC) possible.

scholarly journals Grey Spectrum Analysis of Air Quality Index and Housing Price in Handan

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-6 ◽  
Author(s):  
Kai Zhang ◽  
Yan Chen ◽  
Lifeng Wu
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Amplitude Spectrum ◽  
Housing Price ◽  
Lag Time ◽  
Phase Spectrum ◽  
Air Quality Index ◽  
The Relationship ◽  
Grey Phase ◽  
Main Change

To analyze the relationship between air quality index (AQI) and housing price, six relationship indexes between air quality index and housing price were calculated using grey spectrum theory, specifically grey association spectrum, grey cospectrum, grey amplitude spectrum, grey phase spectrum, grey lag time length, and grey condense spectrum. Three main change periods were extracted. There was a negative correction between the air quality and the housing price in Handan. The results provide a basis for the government’s measures to prevent haze.

scholarly journals Steering Angle Assisted Vehicular Navigation Using Portable Devices in GNSS-Denied Environments

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1618 ◽  
Author(s):  
Mohamed Moussa ◽  
Adel Moussa ◽  
Naser El-Sheimy
Keyword(s):  
Low Cost ◽  
Measurement Unit ◽  
Steering Wheel ◽  
Portable Devices ◽  
Steering Angle ◽  
Navigation Solution ◽  
Land Vehicle ◽  
Land Vehicle Navigation ◽  
Novel Approach ◽  
Vehicle Acceleration

Recently, land vehicle navigation, and especially by the use of low-cost sensors, has been the object of a huge level of research interest. Consumer Portable Devices (CPDs) such as tablets and smartphones are being widely used by many consumers all over the world. CPDs contain sensors (accelerometers, gyroscopes, magnetometer, etc.) that can be used for many land vehicle applications such as navigation. This paper presents a novel approach for estimating steering wheel angles using CPD accelerometers by attaching CPDs to the steering wheel. The land vehicle change of heading is then computed from the estimated steering wheel angle. The calculated change of heading is used to update the navigation filter to aid the onboard Inertial Measurement Unit (IMU) through the use of an Extended Kalman Filter (EKF) in GNSS-denied environments. Four main factors that may affect the steering wheel angle accuracy are considered and modeled during steering angle estimations: static onboard IMU leveling, inclination angle of the steering wheel, vehicle acceleration, and vehicle inclination. In addition, these factors are assessed for their effects on the final result. Therefore, three methods are proposed for steering angle estimation: non-compensated, partially-compensated, and fully-compensated methods. A road experimental test was carried out using a Pixhawk (PX4) navigation system, iPad Air, and the OBD-II interface. The average Root Mean Square Error (RMSE) of the change of heading estimated by the proposed method was 0.033 rad/s. A navigation solution was estimated while changes of heading and forward velocity updates were used to aid the IMU during different GNSS signal outages. The estimated navigation solution is enhanced when applying the proposed updates to the navigation filter by 91% and 97% for 60 s and 120 s of GNSS signal outage, respectively, compared to the IMU standalone solution.

Study of an accurate electronic power measurement technique using modified current transformer and potential transformer

2019 ◽  
Vol 41 (13) ◽  
pp. 3666-3678
Author(s):  
Sirshendu Saha ◽  
Saikat Kumar Bera ◽  
Hiranmoy Mandal ◽  
Pradip Kumar Sadhu ◽  
Satish Chandra Bera
Keyword(s):  
Phase Angle ◽  
Measurement Errors ◽  
Light Emitting Diode ◽  
Current Transformer ◽  
Power Measurement ◽  
Measurement Unit ◽  
Measurement Circuit ◽  
Angle Error ◽  
Ratio Error ◽  
High Tension

In high tension power measurement, potential transformer (PT) and current transformer (CT) are used in order to reduce high tension voltage and current, respectively. But both PT and CT suffer from ratio error and phase angle error, which may produce severe error in power measurement. In the present paper, modified designs of PT and CT are combined to develop an electronic power measurement circuit in order to reduce the measurement errors. The modified PT and CT have reduced phase angle error and ratio error. In the power measurement circuit, the instantaneous product of the outputs of these PT and CT is determined by using a simple light emitting diode (LED)-light dependent register (LDR) or LED-LDR-based product circuit. The operation of the proto type power measurement unit designed in the present work has been experimentally tested and the measured outputs are compared with the readings of laboratory standard wattmeter. The experimental results are reported in the paper. Very good linear characteristics are observed.

Fundamental Concepts and an Innovating Approach for Extended Surface Heat Transfer

2005 ◽  
Author(s):  
Panagiotis Razelos
Keyword(s):  
Heat Transfer ◽  
Heat Dissipation ◽  
Vital Role ◽  
Surface Heat ◽  
Surface Heat Transfer ◽  
Novel Approach ◽  
Mathematical Expressions ◽  
Extended Surface ◽  
Simplifying Assumptions ◽  
The One

In this work we re-examine the main fin equation qf = ηfAfΔT, proposed by Gardner [1] that has been used for the last sixty years to determine the performance of fins. The fundamental concepts of extended surface heat transfer are introduced, and their mathematical expressions are derived. The vital role of fin effectiveness, a term also introduced by Gardner [1] is established. It is shown that the effectiveness is inextricably linked in proving the validity of the simplifying assumptions that most of the fins’ endeavors are based on. It is also shown that the common practice of using the efficiency to predict the fin’s performance leads to serious errors. A novel approach to fin analysis, based on a proposed transformation of coordinates, is presented, which can be employed to considerably simplify the pertinent differential equations and obtain more friendly expressions describing the fin’s performance. The heat dissipation is expressed in a non-dimensional form and for several practical cases polynomial expressions have developed, that will help students to engage in rudimentary fin designs. It is also shown that, the one-dimensional approach can be used to obtain solutions involving extended surfaces made from anisotropic material. Three examples serve to illustrate the usefulness of our method.

scholarly journals Machine Learning-Based Crop Drought Mapping System by UAV Remote Sensing RGB Imagery

2020 ◽  
Vol 08 (01) ◽  
pp. 71-83 ◽  
Author(s):  
Jinya Su ◽  
Matthew Coombes ◽  
Cunjia Liu ◽  
Yongchao Zhu ◽  
Xingyang Song ◽  
...  
Keyword(s):  
Water Stress ◽  
Vegetation Index ◽  
Field Measurements ◽  
Vital Role ◽  
Learning System ◽  
Bayesian Optimization ◽  
Growth And Yield ◽  
Support Vector ◽  
Svm Classifier ◽  
Spectral Intensities

Water stress has adverse effects on crop growth and yield, where its monitoring plays a vital role in precision crop management. This paper aims at initially exploiting the potentials of UAV aerial RGB image in crop water stress assessment by developing a simple but effective supervised learning system. Various techniques are seamlessly integrated into the system including vegetation segmentation, feature engineering, Bayesian optimization and Support Vector Machine (SVM) classifier. In particular, wheat pixels are first segmented from soil background by using the classical vegetation index thresholding. Rather than performing pixel-wise classification, pixel squares of appropriate dimension are defined as samples, from which various features for pure vegetation pixels are extracted including spectral and color index (CI) features. SVM with Bayesian optimization is adopted as the classifier. To validate the developed system, a Unmanned Aerial Vehicle (UAV) survey is performed to collect high-resolution atop canopy RGB imageries by using DJI S1000 for the experimental wheat fields of Gucheng town, Heibei Province, China. Two levels of soil moisture were designed after seedling establishment for wheat plots by using intelligent irrigation and rain shelter, where field measurements were to obtain ground soil water ratio for each wheat plot. Comparative experiments by three-fold cross-validation demonstrate that pixel-wise classification, with a high computation load, can only achieve an accuracy of 82.8% with poor F1 score of 71.7%; however, the developed system can achieve an accuracy of 89.9% with F1 score of 87.7% by using only spectral intensities, and the accuracy can be further improved to 92.8% with F1 score of 91.5% by fusing both spectral intensities and CI features. Future work is focused on incorporating more spectral information and advanced feature extraction algorithms to further improve the performance.

scholarly journals Online Spatial and Temporal Calibration for Monocular Direct Visual-Inertial Odometry

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2273
Author(s):  
Zheyu Feng ◽  
Jianwen Li ◽  
Lundong Zhang ◽  
Chen Chen
Keyword(s):  
Inertial Measurement Unit ◽  
Prior Information ◽  
Measurement Unit ◽  
Online Calibration ◽  
The Public ◽  
Temporal Parameters ◽  
Novel Approach ◽  
Aerial Vehicle ◽  
Feature Based ◽  
Temporal Offset

Owing to the nonlinearity in visual-inertial state estimation, sufficiently accurate initial states, especially the spatial and temporal parameters between IMU (Inertial Measurement Unit) and camera, should be provided to avoid divergence. Moreover, these parameters are required to be calibrated online since they are likely to vary once the mechanical configuration slightly changes. Recently, direct approaches have gained popularity for their better performance than feature-based approaches in little-texture or low-illumination environments, taking advantage of tracking pixels directly. Based on these considerations, we perform a direct version of monocular VIO (Visual-inertial Odometry), and propose a novel approach to initialize the spatial-temporal parameters and estimate them with all other variables of interest (IMU pose, point inverse depth, etc.). We highlight that our approach is able to perform robust and accurate initialization and online calibration for the spatial and temporal parameters without utilizing any prior information, and also achieves high-precision estimates even when large temporal offset occurs. The performance of the proposed approach was verified through the public UAV (Unmanned Aerial Vehicle) dataset.

An Enhanced Development of 3D Intra-Oral Scanner Using Fringe-Projection Technique for Dentistry

2016 ◽  
Author(s):  
Hong-Seok Park ◽  
Chintal Shah ◽  
Rima Shah
Keyword(s):  
Oral Cavity ◽  
Light Source ◽  
Phase Distribution ◽  
Three Dimensional ◽  
Mouth Opening ◽  
Vital Role ◽  
Fringe Projection ◽  
Mapping Algorithm ◽  
Novel Approach ◽  
Cad Cam

3D shape recognization technique is rapidly advancing from last decade in the fields of manufacturing, computer science, entertainment and medical technology. Due to the restriction of size and area of cavity, it’s challenging to develop such non-contact optical technologies for scanning. 3D digitization technology plays a vital role in the field of dentistry benefiting dentists and patients by eliminating long time procedures for making the prosthesis/abutments and results into ultimate comfort. In this paper, we have recounted a design of a prototype for a three-dimensional intra-oral scanner using the principle of fringe projection and active triangulation method. LED as a light source passed through the liquid crystal on silicon (LCoS) which radiates the light into three colors and strikes onto the collimating lens assembly and then passed through the optical deflectors. Once the light strikes the object through scanning window it is guided back through the flat reflectors and the fringe pattern on the object is stored into the gray encoding plate. With the help of camera all these images are stored. After the acquisition of images, firstly it will calculate the phase distribution using four-step phase shifting algorithm and unwrap the wrap phase which helps us in getting accurate images. Later, we get display of scanned oral cavity onto the computer screen. Phase-height mapping algorithm has been realized for the reconstruction of the 3D real time reconstruction of the scanned oral cavity which helps us in fast scanning with accurate data. A novel approach of LED as a light source and LCoS display for scattering light fragments into three different colors helps us to scan more effectively for registration of dental surfaces from the patient’s mouth more accurately. Apart from that, its sleek design helps to scan with less pain to the patient’s having low mouth opening. Experiment was performed on the prototype of denture and using this proposed method we have achieved the accuracy of 25μm and it took around 180 sec for the full arc scan of the lower oral cavity. The result of scanned data was checked using the CAD/CAM software for dentistry and compared with the prototype data of denture. Further this image can be used for making prosthesis/abutment directly into production using 3D printing machine or the milling machine. Thus, an abutment or prosthesis obtained with this method is of high quality and eliminates conventional long procedures which helps in reducing pain of patient’s and helps dentists to attain more patients in less time.

INS/GPS fusion architectures for unmanned aerial vehicles

2014 ◽  
Vol 2 (3) ◽  
pp. 154-167 ◽  
Author(s):  
Sanketh Ailneni ◽  
Sudesh K. Kashyap ◽  
N. Shantha Kumar
Keyword(s):  
Flight Test ◽  
Vital Role ◽  
Open Loop ◽  
Measurement Unit ◽  
Data Logger ◽  
Content Type ◽  
Loosely Coupled ◽  
Black Kite ◽  
Aerial Vehicle ◽  
Split Architecture

Purpose – The purpose of this paper is to present fusion of inertial navigation system (INS) and global positioning system (GPS) for estimating position, velocities, attitude and heading of an unmanned aerial vehicle (UAV). Design/methodology/approach – A 15-state extended Kalman filter (EKF) and a split architecture consisting of six-state nonlinear complementary filter (NCF) and nine-state EKF are investigated in detail. In both these fusion architectures GPS and inertial measurement unit consisting of three axis accelerometers, three axis rate gyros and three axis magnetometer have been fused in open loop fashion (loosely coupled) to estimate the navigation states. Findings – These architectures have been implemented in MATLAB/SIMULINK environment and evaluated in closed loop guidance of Black-Kite MAV with software-in-the-loop-simulation (SILS) setup. Furthermore, both the algorithms are validated with flight test data obtained from on-board data logger using an off-the shelf autopilot board (Ardupilot Mega APM-2.5) on SLYBIRD UAV. Originality/value – The proposed architectures are of high value to accomplish INS/GPS fusion, which plays a vital role in autonomous guidance and navigation of an UAV.

Effect of nitrogen and potassium on growth parameters of banana

2020 ◽  
Vol 26 (1) ◽  
pp. 2159-2169
Author(s):  
M. A. Islam ◽  
K. M. A. Sayeed ◽  
M. J. Alam ◽  
M. A. Rahman
Keyword(s):  
Growth Parameters ◽  
Block Design ◽  
Vital Role ◽  
Growth And Yield ◽  
Cost Ratio ◽  
Herbaceous Plant ◽  
Benefit Cost Ratio ◽  
Economic Production ◽  
Protection Technology ◽  
Four Levels

Banana (Musa spp.) is a vigorously growing, monocotyledonous herbaceous plant. Though Bangladesh is more suitable for production of banana but its productivity is very low due to a lack of improve variety, sustainable production & protection technology, soil fertility and fertilizer management. Fertilizers i.e. nitrogen and potassium are one of the most important elements that can play vital role to increase productivity of banana. Hence, the present research investigation was conducted at the Horticulture Farm of Bangladesh Agricultural University, Mymensingh during the period from November, 2016 to December, 2017 to evaluate the effect of nitrogen & potassium fertilizers on growth and yield and also find out the best combination of N & K fertilizers for economic production of banana. Four levels of Nitrogen (N1=300g Urea/plant, N2=400g Urea/plant, N3=500g Urea/plant and N4=600g Urea/plant) and four potassium (K1=250g MOP/plant, K2=350g MOP/plant, K3=450g MOP/plant, K4=550g MOP/plant) were studied in a randomized complete block design (RCBD) with three replications. The results revealed that the single application of N3=500g Urea/plant, K3=450g MOP/plant and their combination (N3×K3=500g urea/plant×450g MOP/plant) showed more significant increase in morpho-physiological characteristics namely pseudo-stem height (m), pseudo-stem girth (cm), number of functional leaves, total number of leaves per plant, minimum days to bunch maturity & crop duration (days) and increase in yield contributing characters viz. total number of fingers per bunch, total number of hands per bunch, bunch weight (kg/plant), yield (t/ha) and benefit cost ratio in this study. The application of these two fertilizers as single or their interaction would be the most appropriate level for getting the superior growth and yield performance of banana.

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