OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors
Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107757-107757
Open Access | Times Cited: 81
Angelo Cardellicchio, Firozeh Solimani, Giovanni Dimauro, et al.
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107757-107757
Open Access | Times Cited: 81
Showing 1-25 of 81 citing articles:
Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity
Firozeh Solimani, Angelo Cardellicchio, Giovanni Dimauro, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108728-108728
Open Access | Times Cited: 40
Firozeh Solimani, Angelo Cardellicchio, Giovanni Dimauro, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108728-108728
Open Access | Times Cited: 40
A corn canopy organs detection method based on improved DBi-YOLOv8 network
Haiou Guan, Haotian Deng, Xiaodan Ma, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127076-127076
Closed Access | Times Cited: 21
Haiou Guan, Haotian Deng, Xiaodan Ma, et al.
European Journal of Agronomy (2024) Vol. 154, pp. 127076-127076
Closed Access | Times Cited: 21
Improved Apple Fruit Target Recognition Method Based on YOLOv7 Model
Huawei Yang, Yinzeng Liu, Shaowei Wang, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1278-1278
Open Access | Times Cited: 34
Huawei Yang, Yinzeng Liu, Shaowei Wang, et al.
Agriculture (2023) Vol. 13, Iss. 7, pp. 1278-1278
Open Access | Times Cited: 34
RDE-YOLOv7: An Improved Model Based on YOLOv7 for Better Performance in Detecting Dragon Fruits
Jialiang Zhou, Yueyue Zhang, Jinpeng Wang
Agronomy (2023) Vol. 13, Iss. 4, pp. 1042-1042
Open Access | Times Cited: 30
Jialiang Zhou, Yueyue Zhang, Jinpeng Wang
Agronomy (2023) Vol. 13, Iss. 4, pp. 1042-1042
Open Access | Times Cited: 30
Transform and Deep Learning Algorithms for the Early Detection and Recognition of Tomato Leaf Disease
Mohammed S. Al-zahrani, Fawaz Waselallah Alsaade
Agronomy (2023) Vol. 13, Iss. 5, pp. 1184-1184
Open Access | Times Cited: 27
Mohammed S. Al-zahrani, Fawaz Waselallah Alsaade
Agronomy (2023) Vol. 13, Iss. 5, pp. 1184-1184
Open Access | Times Cited: 27
TS-YOLO: An All-Day and Lightweight Tea Canopy Shoots Detection Model
Zhi Zhang, Yongzong Lu, Yiqiu Zhao, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1411-1411
Open Access | Times Cited: 21
Zhi Zhang, Yongzong Lu, Yiqiu Zhao, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1411-1411
Open Access | Times Cited: 21
Tomato Recognition and Localization Method Based on Improved YOLOv5n-seg Model and Binocular Stereo Vision
Shuhe Zheng, Yang Liu, Wuxiong Weng, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2339-2339
Open Access | Times Cited: 16
Shuhe Zheng, Yang Liu, Wuxiong Weng, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2339-2339
Open Access | Times Cited: 16
Optimizing the YOLOv7-Tiny Model with Multiple Strategies for Citrus Fruit Yield Estimation in Complex Scenarios
Juanli Jing, Menglin Zhai, Shiqing Dou, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 303-303
Open Access | Times Cited: 7
Juanli Jing, Menglin Zhai, Shiqing Dou, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 303-303
Open Access | Times Cited: 7
A Deep-Learning-Based Model for the Detection of Diseased Tomato Leaves
Akram Abdullah, Gehad Abdullah Amran, S. M. Ahanaf Tahmid, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1593-1593
Open Access | Times Cited: 7
Akram Abdullah, Gehad Abdullah Amran, S. M. Ahanaf Tahmid, et al.
Agronomy (2024) Vol. 14, Iss. 7, pp. 1593-1593
Open Access | Times Cited: 7
EscaYard: Precision viticulture multimodal dataset of vineyards affected by Esca disease consisting of geotagged smartphone images, phytosanitary status, UAV 3D point clouds and Orthomosaics
Sergio Vélez, Mar Ariza-Sentís, João Valente
Data in Brief (2024) Vol. 54, pp. 110497-110497
Open Access | Times Cited: 6
Sergio Vélez, Mar Ariza-Sentís, João Valente
Data in Brief (2024) Vol. 54, pp. 110497-110497
Open Access | Times Cited: 6
Review of deep learning-based methods for non-destructive evaluation of agricultural products
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 6
Zhenye Li, Dongyi Wang, Tingting Zhu, et al.
Biosystems Engineering (2024) Vol. 245, pp. 56-83
Closed Access | Times Cited: 6
YOLOv5s-CEDB: A robust and efficiency Camellia oleifera fruit detection algorithm in complex natural scenes
Aobin Zhu, Ruirui Zhang, Linhuan Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108984-108984
Closed Access | Times Cited: 5
Aobin Zhu, Ruirui Zhang, Linhuan Zhang, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 108984-108984
Closed Access | Times Cited: 5
Strip Surface Defect Detection Algorithm Based on YOLOv5
Han Wang, Xiuding Yang, Bei Zhou, et al.
Materials (2023) Vol. 16, Iss. 7, pp. 2811-2811
Open Access | Times Cited: 14
Han Wang, Xiuding Yang, Bei Zhou, et al.
Materials (2023) Vol. 16, Iss. 7, pp. 2811-2811
Open Access | Times Cited: 14
YOLOv7-Peach: An Algorithm for Immature Small Yellow Peaches Detection in Complex Natural Environments
Pingzhu Liu, Hua Yin
Sensors (2023) Vol. 23, Iss. 11, pp. 5096-5096
Open Access | Times Cited: 14
Pingzhu Liu, Hua Yin
Sensors (2023) Vol. 23, Iss. 11, pp. 5096-5096
Open Access | Times Cited: 14
A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7
Eftichia Badeka, Eleftherios Karapatzak, Aikaterini Karampatea, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8126-8126
Open Access | Times Cited: 14
Eftichia Badeka, Eleftherios Karapatzak, Aikaterini Karampatea, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8126-8126
Open Access | Times Cited: 14
A novel lightweight model HGCA-YOLO: Application to recognition of invisible spears for white asparagus robotic harvesting
Ping Zhang, Nianzu Dai, Xuemei Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108852-108852
Closed Access | Times Cited: 4
Ping Zhang, Nianzu Dai, Xuemei Liu, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108852-108852
Closed Access | Times Cited: 4
Three-view cotton flower counting through multi-object tracking and RGB-D imagery
Chenjiao Tan, Jin Sun, Andrew H. Paterson, et al.
Biosystems Engineering (2024) Vol. 246, pp. 233-247
Closed Access | Times Cited: 4
Chenjiao Tan, Jin Sun, Andrew H. Paterson, et al.
Biosystems Engineering (2024) Vol. 246, pp. 233-247
Closed Access | Times Cited: 4
SLFCNet: an ultra-lightweight and efficient strawberry feature classification network
Wenchao Xu, Yangxu Wang, Jiahao Yang
PeerJ Computer Science (2025) Vol. 11, pp. e2085-e2085
Open Access
Wenchao Xu, Yangxu Wang, Jiahao Yang
PeerJ Computer Science (2025) Vol. 11, pp. e2085-e2085
Open Access
YOLOv8-LDH: A lightweight model for detection of conveyor belt damage based on multispectral imaging
Yue Chen, Mengran Zhou, Feng Hu, et al.
Measurement (2025) Vol. 245, pp. 116675-116675
Closed Access
Yue Chen, Mengran Zhou, Feng Hu, et al.
Measurement (2025) Vol. 245, pp. 116675-116675
Closed Access
A robust vision system for measuring and positioning green asparagus based on YOLO-seg and 3D point cloud data
Chen Chen, Jing Li, Binglin Liu, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109937-109937
Closed Access
Chen Chen, Jing Li, Binglin Liu, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109937-109937
Closed Access
Optimizing Crop Production With Plant Phenomics Through High‐Throughput Phenotyping and AI in Controlled Environments
Cengiz Kaya
Food and Energy Security (2025) Vol. 14, Iss. 1
Open Access
Cengiz Kaya
Food and Energy Security (2025) Vol. 14, Iss. 1
Open Access
An optimized lightweight real-time detection network model for IoT embedded devices
Rongjun Chen, Wang Peixian, Binfan Lin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Rongjun Chen, Wang Peixian, Binfan Lin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Lettuce architectural phenotypes extraction from multimodal images by low-light sensitivity and strong spatial perception
Shenglian Lu, Yibo Lv, Tingting Qian, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 109928-109928
Closed Access
Shenglian Lu, Yibo Lv, Tingting Qian, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 109928-109928
Closed Access
Methodology for Determining the Main Physical Parameters of Apples by Digital Image Analysis
Jakhfer Alikhanov, Айдар Молдажанов, Akmaral Kulmakhambetova, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 57-57
Open Access
Jakhfer Alikhanov, Айдар Молдажанов, Akmaral Kulmakhambetova, et al.
AgriEngineering (2025) Vol. 7, Iss. 3, pp. 57-57
Open Access
GrainNet: efficient detection and counting of wheat grains based on an improved YOLOv7 modeling
Xin Wang, Changchun Li, Chenyi Zhao, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
Xin Wang, Changchun Li, Chenyi Zhao, et al.
Plant Methods (2025) Vol. 21, Iss. 1
Open Access
