A Survey of Public Datasets for Computer Vision Tasks in Precision Agriculture Y Lu, S Young Computers and Electronics in Agriculture 178, 2020 | 275 | 2020 |
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 | 186 | 2020 |
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 | 151 | 2022 |
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 | 107 | 2020 |
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 | 105 | 2017 |
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 | 98 | 2023 |
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 | 90 | 2017 |
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 | 87 | 2022 |
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 | 75 | 2019 |
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 | 74 | 2016 |
Food image recognition by using convolutional neural networks (CNNs) Y Lu arXiv preprint arXiv:1612.00983, 2016 | 64 | 2016 |
Histogram based automatic thresholding for bruise detection of apples by structured-illumination reflectance imaging Y Lu, R Lu Biosystems Engineering 160, 30-41, 2017 | 63 | 2017 |
Simplified gating in long short-term memory (LSTM) recurrent neural networks Y Lu, FM Salem arXiv preprint arXiv:1701.03441, 2017 | 63 | 2017 |
Development and Evaluation of An Apple Infield Grading and Sorting System Z Zhang, Y Lu, R Lu Postharvest Biology and Technology 180, 111588, 2021 | 56 | 2021 |
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 | 53 | 2018 |
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 | 53 | 2018 |
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 | 51 | 2017 |
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 | 43 | 2016 |
Performance evaluation of deep learning object detectors for weed detection for cotton A Rahman, Y Lu, H Wang Smart Agricultural Technology, 100126, 2023 | 39 | 2023 |
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 | 39 | 2022 |