Articles with public access mandates - Young ChangLearn more
Not available anywhere: 13
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
TU Rehman, MS Mahmud, YK Chang, J Jin, J Shin
Computers and electronics in agriculture 156, 585-605, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves
J Shin, YK Chang, B Heung, T Nguyen-Quang, GW Price, A Al-Mallahi
Computers and electronics in agriculture 183, 106042, 2021
Mandates: Natural Sciences and Engineering Research Council of Canada
Machine vision smart sprayer for spot-application of agrochemical in wild blueberry fields
T Esau, Q Zaman, D Groulx, A Farooque, A Schumann, Y Chang
Precision agriculture 19, 770-788, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection
J Shin, YK Chang, B Heung, T Nguyen-Quang, GW Price, A Al-Mallahi
Biosystems Engineering 194, 49-60, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection
MS Mahmud, Y Chang, QU Zaman, TJ Esau, GW Price, B Prithiviraj
Computers and Electronics in Agriculture 158, 219-225, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
Estimation of grain quality parameters in rice for high‐throughput screening with near‐infrared spectroscopy and deep learning
P Ravichandran, S Viswanathan, S Ravichandran, YJ Pan, YK Chang
Cereal Chemistry 99 (4), 907-919, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Potential use of digital photographic technique to examine wild blueberry ripening in relation to time of harvest
S Ali, QU Zaman, AA Farooque, AW Schumann, CC Udenigwe, T Esau, ...
Applied Engineering in Agriculture 34 (2), 299-308, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
Real-time counting of strawberry using cost-effective embedded GPU and YOLOv4-tiny
A Immaneni, YK Chang
2022 ASABE Annual International Meeting, 1, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Counting of Strawberries and Flowers in Fields using YOLOv4 and SORT
S Chittupalli, YK Chang
2022 ASABE annual international meeting, 1, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
An on-the-go ultrasonic plant height measurement system (UPHMS II) in the wild blueberry cropping system
YK Chang, Q Zaman, A Farooque, T Rehman, T Esau
2016 ASABE Annual International Meeting, 1, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Influence of wild blueberry fruit yield, plant height, and ground slope on picking performance of a mechanical harvester: Basis for automation
AA Farooque, QU Zaman, T Esau, YK Chang, AW Schumann, W Jameel
Applied Engineering in Agriculture 33 (5), 655-666, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
Variation in harvesting losses in relation to fruit yield, plant height and slope: A basis for automation of harvester
AA Farooque, Q Zaman, Y Chang, T Esau, AW Schumann, W Jameel
2016 ASABE Annual International Meeting, 1, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
A Real-time FPGA-based Image Processing System for On-The-Spot Decisions in Agricultural Field
SS Antora, YK Chang, T Nguyen-Quang
2022 ASABE Annual International Meeting, 1, 2022
Mandates: Natural Sciences and Engineering Research Council of Canada
Available somewhere: 6
A real-time ultrasonic system to measure wild blueberry plant height during harvesting
YK Chang, QU Zaman, TU Rehman, AA Farooque, T Esau, MW Jameel
Biosystems engineering 157, 35-44, 2017
Mandates: Natural Sciences and Engineering Research Council of Canada
Real-time detection of strawberry powdery mildew disease using a mobile machine vision system
MS Mahmud, QU Zaman, TJ Esau, YK Chang, GW Price, B Prithiviraj
Agronomy 10 (7), 1027, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Comparison of image texture based supervised learning classifiers for strawberry powdery mildew detection
YK Chang, MS Mahmud, J Shin, T Nguyen-Quang, GW Price, B Prithiviraj
AgriEngineering 1 (3), 434-452, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
Development of a predictive model for wild blueberry harvester fruit losses during harvesting using artificial neural network
AA Farooque, QU Zaman, T Nguyen-Quang, D Groulx, AW Schumann, ...
Applied Engineering in Agriculture 32 (6), 725-738, 2016
Mandates: Natural Sciences and Engineering Research Council of Canada
Water quantification from sprayer nozzle by using Particle Image Velocimetry (PIV) versus imaging processing techniques.
M Nadeem, YK Chang, U Venkatadri, C Diallo, P Havard, ...
Pakistan Journal of Agricultural Sciences 55 (1), 2018
Mandates: Natural Sciences and Engineering Research Council of Canada
Development and Assessment of a Field-Programmable Gate Array (FPGA)-Based Image Processing (FIP) System for Agricultural Field Monitoring Applications
SS Antora, YK Chang, T Nguyen-Quang, B Heung
AgriEngineering 5 (2), 886-904, 2023
Mandates: US Department of Agriculture, Natural Sciences and Engineering Research …
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