Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Computer vision technology in agricultural automation —A review
Hongkun Tian, Tianhai Wang, Yadong Liu, et al.
Information Processing in Agriculture (2019) Vol. 7, Iss. 1, pp. 1-19
Open Access | Times Cited: 507

Showing 51-75 of 507 citing articles:

Digital agriculture for sustainable development in China: The promise of computerization
Abbas Ali Chandio, Dicle Özdemir, Korhan K. Gökmenoğlu, et al.
Technology in Society (2024) Vol. 76, pp. 102479-102479
Closed Access | Times Cited: 15
Introduction to Computer Vision and Drone Technology
Siddharth Singh Chouhan, Uday Pratap Singh, Sanjeev Jain
(2024), pp. 1-5
Closed Access | Times Cited: 15
Automated quality inspection of baby corn using image processing and deep learning
Kris Wonggasem, Pongsan Chakranon, Papis Wongchaisuwat
Artificial Intelligence in Agriculture (2024) Vol. 11, pp. 61-69
Open Access | Times Cited: 11
Robotics in greenhouses. Scoping review
J.A. Sánchez-Molina, Francisco Rodríguez, José Carlos Moreno, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108750-108750
Open Access | Times Cited: 11
Applications of artificial intelligence (AI) in managing food quality and ensuring global food security
Ali Ikram, Hassan Mehmood, Muhammad Tayyab Arshad, et al.
CyTA - Journal of Food (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Computer Vision for Plant Disease Recognition: A Comprehensive Review
Minh Hoang Dang, Hanxiang Wang, Yanfen Li, et al.
The Botanical Review (2024) Vol. 90, Iss. 3, pp. 251-311
Closed Access | Times Cited: 10
Development of a longevity prediction model for cut roses using hyperspectral imaging and a convolutional neural network
Yong-Tae Kim, Suong Tuyet Thi Ha, Byung-Chun In
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 9
Computer vision for wildfire detection: a critical brief review
Leo Ramos, Edmundo Casas, Eduardo Bendek, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 83427-83470
Closed Access | Times Cited: 8
Enhancing Precision Agriculture Pest Control: A Generalized Deep Learning Approach With YOLOv8-Based Insect Detection
Mario Vilar-Andreu, Laura García, Antonio-Javier García-Sánchez, et al.
IEEE Access (2024) Vol. 12, pp. 84420-84434
Open Access | Times Cited: 8
Enhanced visual detection of litchi fruit in complex natural environments based on unmanned aerial vehicle (UAV) remote sensing
Changjiang Liang, Juntao Liang, Weiguang Yang, et al.
Precision Agriculture (2025) Vol. 26, Iss. 1
Closed Access | Times Cited: 1
Real-Time Data Processing in Agricultural Robotics
Azmirul Hoque, Mrutyunjay Padhiary, G. Krishna Prasad, et al.
Advances in environmental engineering and green technologies book series (2025), pp. 431-468
Closed Access | Times Cited: 1
Advancing food security through drone-based hyperspectral imaging: applications in precision agriculture and post-harvest management
Debashish Kar, Sambandh Bhusan Dhal
Environmental Monitoring and Assessment (2025) Vol. 197, Iss. 3
Closed Access | Times Cited: 1
GPC-YOLO: An Improved Lightweight YOLOv8n Network for the Detection of Tomato Maturity in Unstructured Natural Environments
Yafeng Dong, Jinwei Qiao, Na Liu, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1502-1502
Open Access | Times Cited: 1
Augmenting Crop Detection for Precision Agriculture with Deep Visual Transfer Learning—A Case Study of Bale Detection
Wei Zhao, William Yamada, Tianxin Li, et al.
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 23-23
Open Access | Times Cited: 53
Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study
Ali Al‐Naji, Ahmed Bashar Fakhri, Sadik Kamel Gharghan, et al.
Heliyon (2021) Vol. 7, Iss. 1, pp. e06078-e06078
Open Access | Times Cited: 53
A Generic Approach for Wheat Disease Classification and Verification Using Expert Opinion for Knowledge-Based Decisions
Waleej Haider, Aqeel-ur Rehman, Muhammad Durrani, et al.
IEEE Access (2021) Vol. 9, pp. 31104-31129
Open Access | Times Cited: 52
Applications of UAS in Crop Biomass Monitoring: A Review
Tianhai Wang, Yadong Liu, Minghui Wang, et al.
Frontiers in Plant Science (2021) Vol. 12
Open Access | Times Cited: 44
Semi-supervised deep learning and low-cost cameras for the semantic segmentation of natural images in viticulture
Ángela Casado-García, Jónathan Heras, Annalisa Milella, et al.
Precision Agriculture (2022) Vol. 23, Iss. 6, pp. 2001-2026
Open Access | Times Cited: 34
Early yield prediction in different grapevine varieties using computer vision and machine learning
Fernando Palacios, María P. Diago, Pedro Melo‐Pinto, et al.
Precision Agriculture (2022) Vol. 24, Iss. 2, pp. 407-435
Open Access | Times Cited: 30
Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review
Shaojin Ma, Yongyu Li, Yankun Peng
Computers and Electronics in Agriculture (2023) Vol. 206, pp. 107695-107695
Closed Access | Times Cited: 21
Apple Leaf Disease Identification in Complex Background Based on BAM-Net
Yuxi Gao, Zhongzhu Cao, Weiwei Cai, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1240-1240
Open Access | Times Cited: 21
An innovative approach for integrating two-dimensional conversion of Vis-NIR spectra with the Swin Transformer model to leverage deep learning for predicting soil properties
Xiu Jin, Jun Zhou, Yuan Rao, et al.
Geoderma (2023) Vol. 436, pp. 116555-116555
Open Access | Times Cited: 21
Computer Vision and Machine Learning for Smart Farming and Agriculture Practices
Kassim Kalinaki, Wasswa Shafik, Tar J. L. Gutu, et al.
Practice, progress, and proficiency in sustainability (2023), pp. 79-100
Closed Access | Times Cited: 21
Autonomous field management – An enabler of sustainable future in agriculture
David Gackstetter, Malte von Bloh, Veronika Hannus, et al.
Agricultural Systems (2023) Vol. 206, pp. 103607-103607
Closed Access | Times Cited: 20
Global Application of Regenerative Agriculture: A Review of Definitions and Assessment Approaches
S. Jayasinghe, D. Thomas, Jonathan P. Anderson, et al.
Sustainability (2023) Vol. 15, Iss. 22, pp. 15941-15941
Open Access | Times Cited: 20

Scroll to top