
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:
California Almond Yield Prediction at the Orchard Level With a Machine Learning Approach
Zhou Zhang, Yufang Jin, Бин Чэн, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 86
Zhou Zhang, Yufang Jin, Бин Чэн, et al.
Frontiers in Plant Science (2019) Vol. 10
Open Access | Times Cited: 86
Showing 1-25 of 86 citing articles:
Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
Luwei Feng, Zhou Zhang, Yuchi Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2028-2028
Open Access | Times Cited: 196
Luwei Feng, Zhou Zhang, Yuchi Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2028-2028
Open Access | Times Cited: 196
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
Yuchi Ma, Zhou Zhang, Yanghui Kang, et al.
Remote Sensing of Environment (2021) Vol. 259, pp. 112408-112408
Open Access | Times Cited: 188
Yuchi Ma, Zhou Zhang, Yanghui Kang, et al.
Remote Sensing of Environment (2021) Vol. 259, pp. 112408-112408
Open Access | Times Cited: 188
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest
Yanghui Kang, Mutlu Özdoğan, Xiaojin Zhu, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 6, pp. 064005-064005
Open Access | Times Cited: 183
Yanghui Kang, Mutlu Özdoğan, Xiaojin Zhu, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 6, pp. 064005-064005
Open Access | Times Cited: 183
Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 175
Mohsen Yoosefzadeh-Najafabadi, Hugh J. Earl, Dan Tulpan, et al.
Frontiers in Plant Science (2021) Vol. 11
Open Access | Times Cited: 175
A comprehensive review of remote sensing platforms, sensors, and applications in nut crops
Hamid Jafarbiglu, Alireza Pourreza
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106844-106844
Open Access | Times Cited: 87
Hamid Jafarbiglu, Alireza Pourreza
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106844-106844
Open Access | Times Cited: 87
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Yuanchao Li, Hongwei Zeng, Miao Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103269-103269
Open Access | Times Cited: 65
Yuanchao Li, Hongwei Zeng, Miao Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 118, pp. 103269-103269
Open Access | Times Cited: 65
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
Yumiao Wang, Zhou Zhang, Luwei Feng, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1232-1232
Open Access | Times Cited: 120
Yumiao Wang, Zhou Zhang, Luwei Feng, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1232-1232
Open Access | Times Cited: 120
Is there tree senescence? The fecundity evidence
Tong Qiu, Marie‐Claire Aravena Acuña, Robert A. Andrus, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 34
Open Access | Times Cited: 66
Tong Qiu, Marie‐Claire Aravena Acuña, Robert A. Andrus, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 34
Open Access | Times Cited: 66
Technologies for Forecasting Tree Fruit Load and Harvest Timing—From Ground, Sky and Time
Nicholas Anderson, Kerry B. Walsh, D. Wulfsohn
Agronomy (2021) Vol. 11, Iss. 7, pp. 1409-1409
Open Access | Times Cited: 63
Nicholas Anderson, Kerry B. Walsh, D. Wulfsohn
Agronomy (2021) Vol. 11, Iss. 7, pp. 1409-1409
Open Access | Times Cited: 63
Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh Biomass Using Hyperspectral Vegetation Indices
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2555-2555
Open Access | Times Cited: 60
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2555-2555
Open Access | Times Cited: 60
Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco
El Houssaine Bouras, Lionel Jarlan, Salah Er‐Raki, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3101-3101
Open Access | Times Cited: 60
El Houssaine Bouras, Lionel Jarlan, Salah Er‐Raki, et al.
Remote Sensing (2021) Vol. 13, Iss. 16, pp. 3101-3101
Open Access | Times Cited: 60
Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning
Riqiang Chen, Chengjian Zhang, Bo Xu, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107275-107275
Closed Access | Times Cited: 56
Riqiang Chen, Chengjian Zhang, Bo Xu, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107275-107275
Closed Access | Times Cited: 56
Ensemble machine learning-based recommendation system for effective prediction of suitable agricultural crop cultivation
Mahmudul Hasan, Md. Abu Marjan, Md Palash Uddin, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 37
Mahmudul Hasan, Md. Abu Marjan, Md Palash Uddin, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 37
Using remote sensing to identify individual tree species in orchards: A review
Asli Ozdarici-Ok, Ali Özgün Ok
Scientia Horticulturae (2023) Vol. 321, pp. 112333-112333
Closed Access | Times Cited: 23
Asli Ozdarici-Ok, Ali Özgün Ok
Scientia Horticulturae (2023) Vol. 321, pp. 112333-112333
Closed Access | Times Cited: 23
Network‐based approaches for understanding gene regulation and function in plants
Dae Kwan Ko, Federica Brandizzí
The Plant Journal (2020) Vol. 104, Iss. 2, pp. 302-317
Open Access | Times Cited: 62
Dae Kwan Ko, Federica Brandizzí
The Plant Journal (2020) Vol. 104, Iss. 2, pp. 302-317
Open Access | Times Cited: 62
Assessment of Olive Tree Canopy Characteristics and Yield Forecast Model Using High Resolution UAV Imagery
Dimitrios Stateras, Dionissios Kalivas
Agriculture (2020) Vol. 10, Iss. 9, pp. 385-385
Open Access | Times Cited: 57
Dimitrios Stateras, Dionissios Kalivas
Agriculture (2020) Vol. 10, Iss. 9, pp. 385-385
Open Access | Times Cited: 57
Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250665-e0250665
Open Access | Times Cited: 50
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250665-e0250665
Open Access | Times Cited: 50
An adaptive adversarial domain adaptation approach for corn yield prediction
Yuchi Ma, Zhou Zhang, H. Lexie Yang, et al.
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106314-106314
Open Access | Times Cited: 43
Yuchi Ma, Zhou Zhang, H. Lexie Yang, et al.
Computers and Electronics in Agriculture (2021) Vol. 187, pp. 106314-106314
Open Access | Times Cited: 43
Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data
Weiguo Yu, Gaoxiang Yang, Dong Li, et al.
Agricultural and Forest Meteorology (2023) Vol. 342, pp. 109729-109729
Closed Access | Times Cited: 21
Weiguo Yu, Gaoxiang Yang, Dong Li, et al.
Agricultural and Forest Meteorology (2023) Vol. 342, pp. 109729-109729
Closed Access | Times Cited: 21
Prediction of corn variety yield with attribute-missing data via graph neural network
Feng Yang, Dongfeng Zhang, Yuqing Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108046-108046
Closed Access | Times Cited: 20
Feng Yang, Dongfeng Zhang, Yuqing Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108046-108046
Closed Access | Times Cited: 20
Gene Regulatory Network Inference: Connecting Plant Biology and Mathematical Modeling
Lisa Van den Broeck, Max Gordon, Dirk Inzé, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 49
Lisa Van den Broeck, Max Gordon, Dirk Inzé, et al.
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 49
Prediction of End-Of-Season Tuber Yield and Tuber Set in Potatoes Using In-Season UAV-Based Hyperspectral Imagery and Machine Learning
Chen Sun, Luwei Feng, Zhou Zhang, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5293-5293
Open Access | Times Cited: 48
Chen Sun, Luwei Feng, Zhou Zhang, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5293-5293
Open Access | Times Cited: 48
Soil textures and nutrients estimation using remote sensing data in north india - Punjab region
Gaurav Dhiman, Jhilik Bhattacharya, Sangita Roy
Procedia Computer Science (2023) Vol. 218, pp. 2041-2048
Open Access | Times Cited: 16
Gaurav Dhiman, Jhilik Bhattacharya, Sangita Roy
Procedia Computer Science (2023) Vol. 218, pp. 2041-2048
Open Access | Times Cited: 16
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach
Benjamin Adjah Torgbor, M. M. Rahman, James Brinkhoff, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3075-3075
Open Access | Times Cited: 14
Benjamin Adjah Torgbor, M. M. Rahman, James Brinkhoff, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3075-3075
Open Access | Times Cited: 14
Evaluating how lodging affects maize yield estimation based on UAV observations
Yuan Liu, Chenwei Nie, Zhen Zhang, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 13
Yuan Liu, Chenwei Nie, Zhen Zhang, et al.
Frontiers in Plant Science (2023) Vol. 13
Open Access | Times Cited: 13