Sensing System for Real-Time Measurement of Seed Spacing, Depth, and Geo-Location of Corn: A Proof-of-Concept Study

2019 ◽  
Vol 62 (6) ◽  
pp. 1779-1788
Author(s):  
Sylvester Badua ◽  
Ajay Sharda ◽  
Daniel Flippo
Keyword(s):  
Real Time ◽  
High Speed ◽  
Maximum Yield ◽  
Yield Potential ◽  
High Speed Camera ◽  
Proof Of Concept ◽  
Plant Spacing ◽  
Acceptable Error ◽  
Light Section ◽  
Seed Spacing

Abstract. Proper seed placement during planting is critical for achieving uniform emergence, which optimizes the crop for maximum yield potential. While uniform plant spacing and seeding depth are often used by corn growers to determine the performance of precision planters, these parameters can be influenced by factors other than machinery, such as seed germination, insects, diseases, and soil properties (e.g., temperature and moisture). Currently, the ideal way to determine planter performance is to manually measure plant spacing and seeding depth. However, this process is both cost- and labor-intensive and prone to human errors. Therefore, this study aimed to develop and test a proof-of-concept sensing and measurement (SAM) system to measure seed spacing and seeding depth and provide the geo-location of each planted seed. The system consisted of a high-speed camera, light section sensor, potentiometer, and survey-grade real-time kinematic (RTK) global positioning system (GPS) unit. Results demonstrated the potential of the proof-of-concept SAM system for measuring seed spacing, seeding depth, and geo-location of corn seeds. Results showed that seed spacing can be calculated using the generated stitched images, achieving a root mean squared error (RMSE) of 0.63 cm and a coefficient of determination (R2) of 0.87 when compared to actual seed spacing measurements. Likewise, 98% of the recorded seeding depths were within the acceptable tolerance of ±10% error. Finally, GPS coordinates were recorded for individual images, which can be used to locate individual seeds and provide detailed information on missing plants (no seeds).HighlightsCalculated seed spacing showed an RMSE of 0.63 cm and an R2 of 0.87.98% of the recorded seeding depth was within the acceptable error of ±10%.GPS coordinates were recorded for individual images. Keywords: High-speed camera, Image mosaic, Light section sensor, Proof of concept, Seeding depth, Seed spacing.

A ROS-Simulink Real-Time Communication Bridge Using UDP With a Driver-in-the-Loop Application

2016 ◽  
Author(s):  
Mohamed Wahba ◽  
Robert Leary ◽  
Nicolás Ochoa-Lleras ◽  
Jariullah Safi ◽  
Sean Brennan
Keyword(s):  
Operating System ◽  
Real Time ◽  
High Speed ◽  
Performance Metrics ◽  
Proof Of Concept ◽  
Physical Separation ◽  
Robot Operating System ◽  
Time Latency ◽  
And Performance ◽  
Fast Transmission

This paper presents implementation details and performance metrics for software developed to connect the Robot Operating System (ROS) with Simulink Real-Time (SLRT). The communication takes place through the User Datagram Protocol (UDP) which allows for fast transmission of large amounts of data between the two systems. We use SLRT’s built-in UDP communication and binary packing blocks to send and receive the data over a network. We use implementation metrics from several examples to illustrate the effectiveness and drawbacks of this bridge in a real-time environment. The time latency of the bridge is analyzed by performing loop-back tests and obtaining the statistics of the time delay. A proof of concept experiment is presented that utilizes two laboratories that ran a driver-in-the-loop system despite a large physical separation. This work provides recommendations for implementing data integrity measures as well as the potential to use the system with other applications that demand high speed real-time communication.

High-Speed Camera Particle Tracking and Force Measurement, with Real-Time Haptic Feedback

2009 ◽  
Author(s):  
Richard Bowman ◽  
Cécile Pacoret ◽  
D. Sinan Haliyo ◽  
Stéphane Régnier ◽  
Graham Gibson ◽  
...  
Keyword(s):  
Real Time ◽  
Particle Tracking ◽  
High Speed ◽  
Haptic Feedback ◽  
Force Measurement ◽  
High Speed Camera

scholarly journals Affordable Remote Monitoring of Health Status using Facial Image Processing

2019 ◽  
Vol 8 (12) ◽  
pp. 2518-2521
Keyword(s):  
Image Processing ◽  
Health Status ◽  
Real Time ◽  
Monitoring System ◽  
Remote Monitoring ◽  
High Speed ◽  
Vital Signs ◽  
Close Monitoring ◽  
High Speed Camera ◽  
Remote Monitoring System

This paper presents a real-time monitoring system with a novel approach to assess the human health status without the need for using a body sensor. The project mainly targets improving the quality of life for those living independently but still require close monitoring. Skin fluctuation of the human face is monitored real time with a high-speed camera to determine vital signs including the heart rate and blood pressure. A few image processing algorithms have been utilized to determine the image fluctuations and extract the related features and acquire vital signals. An algorithm assesses and evaluates the risks involved in irregular behaviors and takes follow up actions where required. The application has been implemented on two platforms and interfaced with a high-speed camera to evaluate the performance of the remote monitoring system in indoor situations.

High-speed camera with internal real-time image processing

2005 ◽  
Author(s):  
M. Paindavoine ◽  
R. Mosqueron ◽  
J. Dubois ◽  
C. Clerc ◽  
J. C. Grapin ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
High Speed ◽  
High Speed Camera ◽  
Real Time Image Processing ◽  
Real Time Image ◽  
Time Image

scholarly journals Real-Time Monitoring of Dynamic Stress Concentration by Mechanoluminescent Sensing Film

2008 ◽  
Vol 13-14 ◽  
pp. 247-250 ◽  
Author(s):  
C. Li ◽  
Chao Nan Xu ◽  
Yusuke Imai ◽  
Wen Xue Wang ◽  
Lin Zhang ◽  
...  
Keyword(s):  
Aluminum Alloy ◽  
Stress Concentration ◽  
Real Time ◽  
High Speed ◽  
Dynamic Stress ◽  
Dynamic Stress Concentration ◽  
Uniaxial Tensile ◽  
Uniaxial Tensile Test ◽  
High Speed Camera ◽  
Lüders Band

In this paper, we demonstrate that a dynamic stress concentration around Lüders band can be directly displayed using mechanoluminescence (ML) sensing film of SrAl2O4:Eu (SAO) coated on the surface of metal. Uniaxial tensile test of an aluminum alloy (2.5% Mg) plate coated with the SAO sensing film was performed and the ML images were recorded using a high-speed camera. Captured ML images confirmed the formation and propagation of Lüders band clearly in real time.

Sign in / Sign up

Export Citation Format

Share Document