
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:
Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning
Zongmei Gao, Yuanyuan Shao, Guantao Xuan, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 31-38
Open Access | Times Cited: 140
Zongmei Gao, Yuanyuan Shao, Guantao Xuan, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 31-38
Open Access | Times Cited: 140
Showing 1-25 of 140 citing articles:
Artificial Intelligence to Improve the Food and Agriculture Sector
Rayda Ben Ayed, Mohsen Hanana
Journal of Food Quality (2021) Vol. 2021, pp. 1-7
Open Access | Times Cited: 189
Rayda Ben Ayed, Mohsen Hanana
Journal of Food Quality (2021) Vol. 2021, pp. 1-7
Open Access | Times Cited: 189
AlexNet Convolutional Neural Network for Disease Detection and Classification of Tomato Leaf
Hsing‐Chung Chen, Agung Mulyo Widodo, Andika Wisnujati, et al.
Electronics (2022) Vol. 11, Iss. 6, pp. 951-951
Open Access | Times Cited: 146
Hsing‐Chung Chen, Agung Mulyo Widodo, Andika Wisnujati, et al.
Electronics (2022) Vol. 11, Iss. 6, pp. 951-951
Open Access | Times Cited: 146
Rapid and noninvasive sensory analyses of food products by hyperspectral imaging: Recent application developments
Gözde Özdoğan, Xiaohui Lin, Da‐Wen Sun
Trends in Food Science & Technology (2021) Vol. 111, pp. 151-165
Open Access | Times Cited: 141
Gözde Özdoğan, Xiaohui Lin, Da‐Wen Sun
Trends in Food Science & Technology (2021) Vol. 111, pp. 151-165
Open Access | Times Cited: 141
Application of hyperspectral imaging systems and artificial intelligence for quality assessment of fruit, vegetables and mushrooms: A review
Jana Wieme, Kaveh Mollazade, Ioannis Malounas, et al.
Biosystems Engineering (2022) Vol. 222, pp. 156-176
Open Access | Times Cited: 104
Jana Wieme, Kaveh Mollazade, Ioannis Malounas, et al.
Biosystems Engineering (2022) Vol. 222, pp. 156-176
Open Access | Times Cited: 104
Recent Trends in Internet-of-Things-Enabled Sensor Technologies for Smart Agriculture
Faisal Karim Shaikh, Sarang Karim, Sherali Zeadally, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 23, pp. 23583-23598
Closed Access | Times Cited: 98
Faisal Karim Shaikh, Sarang Karim, Sherali Zeadally, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 23, pp. 23583-23598
Closed Access | Times Cited: 98
Fruit ripeness classification: A survey
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, et al.
Artificial Intelligence in Agriculture (2023) Vol. 7, pp. 44-57
Open Access | Times Cited: 63
Matteo Rizzo, Matteo Marcuzzo, Alessandro Zangari, et al.
Artificial Intelligence in Agriculture (2023) Vol. 7, pp. 44-57
Open Access | Times Cited: 63
A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 62
Jayme Garcia Arnal Barbedo
Computers and Electronics in Agriculture (2023) Vol. 210, pp. 107920-107920
Closed Access | Times Cited: 62
A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 34
Luyu Shuai, Zhiyong Li, Ziao Chen, et al.
Computers and Electronics in Agriculture (2024) Vol. 217, pp. 108577-108577
Closed Access | Times Cited: 34
A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects
Billy G. Ram, Peter G. Oduor, C. Igathinathane, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109037-109037
Open Access | Times Cited: 32
Billy G. Ram, Peter G. Oduor, C. Igathinathane, et al.
Computers and Electronics in Agriculture (2024) Vol. 222, pp. 109037-109037
Open Access | Times Cited: 32
Hyperspectral Image Analysis and Machine Learning Techniques for Crop Disease Detection and Identification: A Review
Yimy Edisson García Vera, Mauricio Andrés Polochè Arango, Camilo A. Mendivelso-Fajardo, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6064-6064
Open Access | Times Cited: 16
Yimy Edisson García Vera, Mauricio Andrés Polochè Arango, Camilo A. Mendivelso-Fajardo, et al.
Sustainability (2024) Vol. 16, Iss. 14, pp. 6064-6064
Open Access | Times Cited: 16
Boosting comprehensive two-dimensional chromatography with artificial intelligence: Application to food-omics
Andrea Caratti, Simone Squara, Carlo Bicchi, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 174, pp. 117669-117669
Open Access | Times Cited: 15
Andrea Caratti, Simone Squara, Carlo Bicchi, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 174, pp. 117669-117669
Open Access | Times Cited: 15
Artificial Intelligence in Agro-Food Systems: From Farm to Fork
Ali Aghababaei, Fatemeh Aghababaei, Marc Pignitter, et al.
Foods (2025) Vol. 14, Iss. 3, pp. 411-411
Open Access | Times Cited: 2
Ali Aghababaei, Fatemeh Aghababaei, Marc Pignitter, et al.
Foods (2025) Vol. 14, Iss. 3, pp. 411-411
Open Access | Times Cited: 2
Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why
Salvador Castillo‐Gironés, Sandra Munera, Marcelino Martı́nez-Sober, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109938-109938
Open Access | Times Cited: 1
Salvador Castillo‐Gironés, Sandra Munera, Marcelino Martı́nez-Sober, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109938-109938
Open Access | Times Cited: 1
Blockchain: A new safeguard for agri-foods
Jie Xu, Shuang Guo, David Xie, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 153-161
Open Access | Times Cited: 108
Jie Xu, Shuang Guo, David Xie, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 153-161
Open Access | Times Cited: 108
Deep Learning Application in Plant Stress Imaging: A Review
Zongmei Gao, Zhongwei Luo, Wen Zhang, et al.
AgriEngineering (2020) Vol. 2, Iss. 3, pp. 430-446
Open Access | Times Cited: 97
Zongmei Gao, Zhongwei Luo, Wen Zhang, et al.
AgriEngineering (2020) Vol. 2, Iss. 3, pp. 430-446
Open Access | Times Cited: 97
Detection of Strawberry Diseases Using a Convolutional Neural Network
Jia-Rong Xiao, Pei-Che Chung, Hung‐Yi Wu, et al.
Plants (2020) Vol. 10, Iss. 1, pp. 31-31
Open Access | Times Cited: 85
Jia-Rong Xiao, Pei-Che Chung, Hung‐Yi Wu, et al.
Plants (2020) Vol. 10, Iss. 1, pp. 31-31
Open Access | Times Cited: 85
Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming
Caiwang Zheng, Amr Abd-Elrahman, Vance M. Whitaker
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 531-531
Open Access | Times Cited: 78
Caiwang Zheng, Amr Abd-Elrahman, Vance M. Whitaker
Remote Sensing (2021) Vol. 13, Iss. 3, pp. 531-531
Open Access | Times Cited: 78
Multimodal Deep Learning and Visible-Light and Hyperspectral Imaging for Fruit Maturity Estimation
Cinmayii Manliguez, John Y. Chiang
Sensors (2021) Vol. 21, Iss. 4, pp. 1288-1288
Open Access | Times Cited: 72
Cinmayii Manliguez, John Y. Chiang
Sensors (2021) Vol. 21, Iss. 4, pp. 1288-1288
Open Access | Times Cited: 72
Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning
Xue Zhou, Won Suk Lee, Yiannis Ampatzidis, et al.
Smart Agricultural Technology (2021) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 71
Xue Zhou, Won Suk Lee, Yiannis Ampatzidis, et al.
Smart Agricultural Technology (2021) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 71
Application of long-wave near infrared hyperspectral imaging for determination of moisture content of single maize seed
Zheli Wang, Shuxiang Fan, Jingzhu Wu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2021) Vol. 254, pp. 119666-119666
Closed Access | Times Cited: 70
Zheli Wang, Shuxiang Fan, Jingzhu Wu, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2021) Vol. 254, pp. 119666-119666
Closed Access | Times Cited: 70
Swin-MLP: a strawberry appearance quality identification method by Swin Transformer and multi-layer perceptron
Hao Zheng, Guohui Wang, Xuchen Li
Journal of Food Measurement & Characterization (2022) Vol. 16, Iss. 4, pp. 2789-2800
Closed Access | Times Cited: 51
Hao Zheng, Guohui Wang, Xuchen Li
Journal of Food Measurement & Characterization (2022) Vol. 16, Iss. 4, pp. 2789-2800
Closed Access | Times Cited: 51
Clustered tomato detection and picking point location using machine learning-aided image analysis for automatic robotic harvesting
Yuhao Bai, Shihan Mao, Jun Zhou, et al.
Precision Agriculture (2022) Vol. 24, Iss. 2, pp. 727-743
Closed Access | Times Cited: 43
Yuhao Bai, Shihan Mao, Jun Zhou, et al.
Precision Agriculture (2022) Vol. 24, Iss. 2, pp. 727-743
Closed Access | Times Cited: 43
A step forward in food science, technology and industry using artificial intelligence
Rezvan Esmaeily, Mohammad Amin Razavi, Seyed Hadi Razavi
Trends in Food Science & Technology (2023) Vol. 143, pp. 104286-104286
Closed Access | Times Cited: 29
Rezvan Esmaeily, Mohammad Amin Razavi, Seyed Hadi Razavi
Trends in Food Science & Technology (2023) Vol. 143, pp. 104286-104286
Closed Access | Times Cited: 29
Modular autonomous strawberry picking robotic system
Soran Parsa, Bappaditya Debnath, Muhammad Arshad Khan, et al.
Journal of Field Robotics (2023) Vol. 41, Iss. 7, pp. 2226-2246
Open Access | Times Cited: 22
Soran Parsa, Bappaditya Debnath, Muhammad Arshad Khan, et al.
Journal of Field Robotics (2023) Vol. 41, Iss. 7, pp. 2226-2246
Open Access | Times Cited: 22
Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning
Hui Feng, Yongqi Chen, Jingyan Song, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 14
Hui Feng, Yongqi Chen, Jingyan Song, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 14