
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:
Remote sensing for field pea yield estimation: A study of multi-scale data fusion approaches in phenomics
Afef Marzougui, Rebecca J. McGee, Stephen Van Vleet, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12
Afef Marzougui, Rebecca J. McGee, Stephen Van Vleet, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12
Showing 12 citing articles:
Breeding for Biotic Stress Resistance in Pea
Diego Rubiales, Eleonora Barilli, Nicolás Rispail
Agriculture (2023) Vol. 13, Iss. 9, pp. 1825-1825
Open Access | Times Cited: 17
Diego Rubiales, Eleonora Barilli, Nicolás Rispail
Agriculture (2023) Vol. 13, Iss. 9, pp. 1825-1825
Open Access | Times Cited: 17
Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring
Jiang Chen, Tong Yu, J. H. Cherney, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 734-734
Open Access | Times Cited: 8
Jiang Chen, Tong Yu, J. H. Cherney, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 734-734
Open Access | Times Cited: 8
Investigating Pea (Pisum sativum L.) Flowering with High Throughput Field Phenotyping and Object Detection
Corina Oppliger, Radek Zenkl, Achim Walter, et al.
Smart Agricultural Technology (2025), pp. 100942-100942
Open Access
Corina Oppliger, Radek Zenkl, Achim Walter, et al.
Smart Agricultural Technology (2025), pp. 100942-100942
Open Access
A method of deep network auto-training based on the MTPI auto-transfer learning and a reinforcement learning algorithm for vegetation detection in a dry thermal valley environment
Yayong Chen, Beibei Zhou, Xiaopeng Chen, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Yayong Chen, Beibei Zhou, Xiaopeng Chen, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Evaluation of genotype x environment interaction using yield and UAV-based vegetation index data from multi-environment trials in chickpea
Kingsley Charles Umani, Sintayehu D. Daba, Julia Piaskowski, et al.
Journal of Crop Improvement (2025), pp. 1-26
Closed Access
Kingsley Charles Umani, Sintayehu D. Daba, Julia Piaskowski, et al.
Journal of Crop Improvement (2025), pp. 1-26
Closed Access
Deep Learning and Reinforcement Learning Methods for Advancing Sustainable Agricultural and Natural Resource Management
Soumyashree Kar, J. Adinarayana
Studies in big data (2024), pp. 201-223
Closed Access | Times Cited: 2
Soumyashree Kar, J. Adinarayana
Studies in big data (2024), pp. 201-223
Closed Access | Times Cited: 2
Impact of remote sensing data fusion on agriculture applications: A review
Ayyappa Reddy Allu, Shashi Mesapam
European Journal of Agronomy (2024) Vol. 164, pp. 127478-127478
Closed Access | Times Cited: 1
Ayyappa Reddy Allu, Shashi Mesapam
European Journal of Agronomy (2024) Vol. 164, pp. 127478-127478
Closed Access | Times Cited: 1
Effect of high-resolution satellite and UAV imagery plot pixel resolution in wheat crop yield prediction
Worasit Sangjan, Arron H. Carter, Michael Pumphrey, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 5, pp. 1678-1698
Open Access | Times Cited: 1
Worasit Sangjan, Arron H. Carter, Michael Pumphrey, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 5, pp. 1678-1698
Open Access | Times Cited: 1
RMSRGAN: A Real Multispectral Imagery Super-Resolution Reconstruction for Enhancing Ginkgo Biloba Yield Prediction
Kaixuan Fan, Min Hu, Maocheng Zhao, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 859-859
Open Access | Times Cited: 1
Kaixuan Fan, Min Hu, Maocheng Zhao, et al.
Forests (2024) Vol. 15, Iss. 5, pp. 859-859
Open Access | Times Cited: 1
Validation of Unmanned Aerial Vehicle Photogrammetry for Landslide Mapping
Muhammad Mukhlisin, Hany Windri Astuti, Eni Dwi Wardihani, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 65-72
Open Access
Muhammad Mukhlisin, Hany Windri Astuti, Eni Dwi Wardihani, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 65-72
Open Access
A pulse crop dataset of agronomic traits and multispectral images from multiple environments
Kingsley Charles Umani, Chongyuan Zhang, Rebecca J. McGee, et al.
Data in Brief (2023) Vol. 53, pp. 110013-110013
Open Access | Times Cited: 1
Kingsley Charles Umani, Chongyuan Zhang, Rebecca J. McGee, et al.
Data in Brief (2023) Vol. 53, pp. 110013-110013
Open Access | Times Cited: 1
Estimation of Rice Leaf Area Index Utilizing a Kalman Filter Fusion Methodology Based on Multi-Spectral Data Obtained from Unmanned Aerial Vehicles (UAVs)
Minglei Yu, Jiaoyang He, Wanyu Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2073-2073
Open Access
Minglei Yu, Jiaoyang He, Wanyu Li, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2073-2073
Open Access
Rapid Detection of Soybean Nutrient Deficiencies Using YOLOv8s: Advancing Precision Agriculture
Minsoo Jeong, Sihyun Park, S. Kwon, et al.
Research Square (Research Square) (2024)
Open Access
Minsoo Jeong, Sihyun Park, S. Kwon, et al.
Research Square (Research Square) (2024)
Open Access