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:
Disease detection and physical disorders classification for citrus fruit images using convolutional neural network
Sinan Uğuz, Gulhan Şikaroğlu, Abdullah Yağız
Journal of Food Measurement & Characterization (2022) Vol. 17, Iss. 3, pp. 2353-2362
Closed Access | Times Cited: 14
Sinan Uğuz, Gulhan Şikaroğlu, Abdullah Yağız
Journal of Food Measurement & Characterization (2022) Vol. 17, Iss. 3, pp. 2353-2362
Closed Access | Times Cited: 14
Showing 14 citing articles:
Detection of bruises on red apples using deep learning models
Zeynep Ünal, Тефиде Кизилдениз, Mustafa ÖZDEN, et al.
Scientia Horticulturae (2024) Vol. 329, pp. 113021-113021
Closed Access | Times Cited: 13
Zeynep Ünal, Тефиде Кизилдениз, Mustafa ÖZDEN, et al.
Scientia Horticulturae (2024) Vol. 329, pp. 113021-113021
Closed Access | Times Cited: 13
Performance Evaluation of YOLO Models in Plant Disease Detection
Usman Ali, Maizatul Akmar Ismail, Riyaz Ahamed Ariyaluran Habeeb, et al.
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 2, pp. 199-211
Open Access | Times Cited: 4
Usman Ali, Maizatul Akmar Ismail, Riyaz Ahamed Ariyaluran Habeeb, et al.
Journal of Informatics and Web Engineering (2024) Vol. 3, Iss. 2, pp. 199-211
Open Access | Times Cited: 4
Internet of Things Assisted Plant Disease Detection and Crop Management using Deep Learning for Sustainable Agriculture
Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, et al.
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 2
Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, et al.
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 2
A Regularized CNN-SVM Framework for Improved Diagnosis of Citrus Fruit Diseases, both Common and Exotic
Deepak Banerjee, Vinay Kukreja, Nitin Jain, et al.
(2023) Vol. 119, pp. 407-411
Closed Access | Times Cited: 7
Deepak Banerjee, Vinay Kukreja, Nitin Jain, et al.
(2023) Vol. 119, pp. 407-411
Closed Access | Times Cited: 7
Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms
Bryan Vivas Apacionado, Tofael Ahamed
Sensors (2023) Vol. 23, Iss. 20, pp. 8519-8519
Open Access | Times Cited: 7
Bryan Vivas Apacionado, Tofael Ahamed
Sensors (2023) Vol. 23, Iss. 20, pp. 8519-8519
Open Access | Times Cited: 7
MSAPVT: a multi-scale attention pyramid vision transformer network for large-scale fruit recognition
Yao Rao, Chaofeng Li, Feiran Xu, et al.
Journal of Food Measurement & Characterization (2024)
Closed Access | Times Cited: 1
Yao Rao, Chaofeng Li, Feiran Xu, et al.
Journal of Food Measurement & Characterization (2024)
Closed Access | Times Cited: 1
CitrusUAT: A dataset of orange Citrus sinensis leaves for abnormality detection using image analysis techniques
Wilfrido Gómez‐Flores, Juan José Garza-Saldaña, Sóstenes Edmundo Varela-Fuentes
Data in Brief (2023) Vol. 52, pp. 109908-109908
Open Access | Times Cited: 4
Wilfrido Gómez‐Flores, Juan José Garza-Saldaña, Sóstenes Edmundo Varela-Fuentes
Data in Brief (2023) Vol. 52, pp. 109908-109908
Open Access | Times Cited: 4
Analysis of Fruit Images with Deep Learning: A Systematic Literature Review and Future Directions
SEBASTIAN PULGAR ESPINOZA, Cristhian Aguilera, Luis Rojas, et al.
IEEE Access (2023) Vol. 12, pp. 3837-3859
Open Access | Times Cited: 3
SEBASTIAN PULGAR ESPINOZA, Cristhian Aguilera, Luis Rojas, et al.
IEEE Access (2023) Vol. 12, pp. 3837-3859
Open Access | Times Cited: 3
Digital Transformation of Horticultural Crop Production Systems Toward Sustainable Agricultural Productivity
Bryan Vivas Apacionado, Tofael Ahamed
(2024), pp. 199-227
Closed Access
Bryan Vivas Apacionado, Tofael Ahamed
(2024), pp. 199-227
Closed Access
Detecting Multi-scale Rose Apple Skin and Defects Using Instance Segmentation with Anchors Optimization
Wilasinee Paewboontra, Nitikarn Nimsuk
IEEE Access (2024) Vol. 12, pp. 138789-138800
Open Access
Wilasinee Paewboontra, Nitikarn Nimsuk
IEEE Access (2024) Vol. 12, pp. 138789-138800
Open Access
Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers
Kunpeng Cui, Jianbo Huang, Guowei Dai, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2605-2605
Open Access
Kunpeng Cui, Jianbo Huang, Guowei Dai, et al.
Agronomy (2024) Vol. 14, Iss. 11, pp. 2605-2605
Open Access
ChatGPT and general-purpose AI count fruits in pictures surprisingly well without programming or training
Konlavach Mengsuwan, Juan Camilo Rivera-Palacio, Masahiro Ryo
Smart Agricultural Technology (2024), pp. 100688-100688
Open Access
Konlavach Mengsuwan, Juan Camilo Rivera-Palacio, Masahiro Ryo
Smart Agricultural Technology (2024), pp. 100688-100688
Open Access
Deep learning-based software for detecting population density of Antarctic birds
Sinan Uğuz
Computer Science Journal of Moldova (2023) Vol. 31, Iss. 2 (92), pp. 200-216
Open Access
Sinan Uğuz
Computer Science Journal of Moldova (2023) Vol. 31, Iss. 2 (92), pp. 200-216
Open Access
The New Frontier in Plant Pathology: Predicting Bergamot Diseases with CNN and Random Forest
Arshleen Kaur, Vinay Kukreja, Umang Garg, et al.
(2023), pp. 1-7
Closed Access
Arshleen Kaur, Vinay Kukreja, Umang Garg, et al.
(2023), pp. 1-7
Closed Access