Obserwuj
Yuzhen Lu
Tytuł
Cytowane przez
Cytowane przez
Rok
A Survey of Public Datasets for Computer Vision Tasks in Precision Agriculture
Y Lu, S Young
Computers and Electronics in Agriculture 178, 2020
3392020
Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress
Y Lu, W Saeys, M Kim, Y Peng, R Lu
Postharvest Biology and Technology 170, 2020
2352020
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
Y Lu, D Chen, E Olaniyi, Y Huang
Computers and Electronics in Agriculture, 2022
2112022
YOLOWeeds: A Novel Benchmark of YOLO Object Detectors for Multi-class Weed Detection in Cotton Production Systems
F Dang, D Chen, Y Lu, Z Li
Computers and Electronics in Agriculture 205, 107655, 2023
1532023
Technology progress in mechanical harvest of fresh market apples
Z Zhang, C Igathinathane, J Li, H Cen, Y Lu, P Flores
Computers and Electronics in Agriculture 175, 2020
1382020
Innovative Hyperspectral Imaging-based Techniques for Quality Evaluation of Fruits and Vegetables: A Review
Y Lu, Y Huang, R Lu
Applied Sciences 7 (189), 2017
1172017
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
D Chen, Y Lu, Z Li, S Young
Computers and Electronics in Agriculture 198, 107091, 2022
1122022
Non-destructive defect detection of apples by spectroscopic and imaging technologies: a review
Y Lu, R Lu
Transactions of the ASABE 60 (5), 1765-1790, 2017
1002017
Detection of early decay in peaches by structured-illumination reflectance imaging
Y Sun, R Lu, Y Lu, K Tu, L Pan
Postharvest Biology and Technology 151, 68-78, 2019
882019
Structured-illumination reflectance imaging (SIRI) for enhanced detection of fresh bruises in apples
Y Lu, R Li, R Lu
Postharvest Biology and Technology 117, 89-93, 2016
822016
Simplified gating in long short-term memory (LSTM) recurrent neural networks
Y Lu, FM Salem
arXiv preprint arXiv:1701.03441, 2017
742017
Food image recognition by using convolutional neural networks (CNNs)
Y Lu
arXiv preprint arXiv:1612.00983, 2016
672016
Development and Evaluation of An Apple Infield Grading and Sorting System
Z Zhang, Y Lu, R Lu
Postharvest Biology and Technology 180, 111588, 2021
662021
Histogram based automatic thresholding for bruise detection of apples by structured-illumination reflectance imaging
Y Lu, R Lu
Biosystems Engineering 160, 30-41, 2017
652017
Detection of surface and subsurface defects of apples using structured-illumination reflectance imaging with machine learning algorithms
Y Lu, R Lu
Transactions of the ASABE 61 (6), 1831-1842, 2018
642018
Detection of Surface and Subsurface Defects of Apples Using Structured-illumination Reflectance Imaging with Machine Learning Algorithms
Y Lu, R Lu
2018 ASABE Annual International Meeting, 13, 2018
642018
Performance evaluation of deep learning object detectors for weed detection for cotton
A Rahman, Y Lu, H Wang
Smart Agricultural Technology, 100126, 2023
632023
Development of a multispectral structured illumination reflectance imaging (SIRI) system and its application to bruise detection of apples
Y Lu, R Lu
Transactions of the ASABE 60 (4), 1379-1389, 2017
562017
Robust Plant Segmentation of Color Images Based on Image Contrast Optimization
Y Lu, S Young, H Wang, N Wijewardane
Computers and Electronics in Agriculture, 2022
482022
Fast demodulation of pattern images by spiral phase transform in structured-illumination reflectance imaging for detection of bruises in apples
Y Lu, R Li, R Lu
Computers and Electronics in Agriculture 127, 652-658, 2016
472016
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