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:
Machine Learning in Agriculture: A Review
Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2674-2674
Open Access | Times Cited: 2148
Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou, et al.
Sensors (2018) Vol. 18, Iss. 8, pp. 2674-2674
Open Access | Times Cited: 2148
Showing 1-25 of 2148 citing articles:
Crop yield prediction using machine learning: A systematic literature review
Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105709-105709
Open Access | Times Cited: 1122
Thomas van Klompenburg, Ayalew Kassahun, Cagatay Catal
Computers and Electronics in Agriculture (2020) Vol. 177, pp. 105709-105709
Open Access | Times Cited: 1122
A Review on UAV-Based Applications for Precision Agriculture
Dimosthenis C. Tsouros, Stamatia Bibi, Panagiotis Sarigiannidis
Information (2019) Vol. 10, Iss. 11, pp. 349-349
Open Access | Times Cited: 823
Dimosthenis C. Tsouros, Stamatia Bibi, Panagiotis Sarigiannidis
Information (2019) Vol. 10, Iss. 11, pp. 349-349
Open Access | Times Cited: 823
A compilation of UAV applications for precision agriculture
Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Θωμάς Λάγκας, et al.
Computer Networks (2020) Vol. 172, pp. 107148-107148
Open Access | Times Cited: 724
Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Θωμάς Λάγκας, et al.
Computer Networks (2020) Vol. 172, pp. 107148-107148
Open Access | Times Cited: 724
Machine Learning Applications for Precision Agriculture: A Comprehensive Review
Abhinav Sharma, Arpit Jain, Prateek Gupta, et al.
IEEE Access (2020) Vol. 9, pp. 4843-4873
Open Access | Times Cited: 643
Abhinav Sharma, Arpit Jain, Prateek Gupta, et al.
IEEE Access (2020) Vol. 9, pp. 4843-4873
Open Access | Times Cited: 643
Decision support systems for agriculture 4.0: Survey and challenges
Zhaoyu Zhai, José-Fernán Martínez-Ortega, Victoria Beltrán, et al.
Computers and Electronics in Agriculture (2020) Vol. 170, pp. 105256-105256
Open Access | Times Cited: 634
Zhaoyu Zhai, José-Fernán Martínez-Ortega, Victoria Beltrán, et al.
Computers and Electronics in Agriculture (2020) Vol. 170, pp. 105256-105256
Open Access | Times Cited: 634
Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture
Mario Lezoche, Jorge E. Hernández, M. M. E. Alemany, et al.
Computers in Industry (2020) Vol. 117, pp. 103187-103187
Open Access | Times Cited: 630
Mario Lezoche, Jorge E. Hernández, M. M. E. Alemany, et al.
Computers in Industry (2020) Vol. 117, pp. 103187-103187
Open Access | Times Cited: 630
Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides
Tanha Talaviya, Dhara Shah, Nivedita Patel, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 58-73
Open Access | Times Cited: 625
Tanha Talaviya, Dhara Shah, Nivedita Patel, et al.
Artificial Intelligence in Agriculture (2020) Vol. 4, pp. 58-73
Open Access | Times Cited: 625
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
Rohit Sharma, Sachin Kamble, Angappa Gunasekaran, et al.
Computers & Operations Research (2020) Vol. 119, pp. 104926-104926
Closed Access | Times Cited: 577
Rohit Sharma, Sachin Kamble, Angappa Gunasekaran, et al.
Computers & Operations Research (2020) Vol. 119, pp. 104926-104926
Closed Access | Times Cited: 577
A Brief Review of Random Forests for Water Scientists and Practitioners and Their Recent History in Water Resources
Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis
Water (2019) Vol. 11, Iss. 5, pp. 910-910
Open Access | Times Cited: 565
Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis
Water (2019) Vol. 11, Iss. 5, pp. 910-910
Open Access | Times Cited: 565
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
Oludare Isaac Abiodun, Muhammad Ubale Kiru, Aman Jantan, et al.
IEEE Access (2019) Vol. 7, pp. 158820-158846
Open Access | Times Cited: 509
Oludare Isaac Abiodun, Muhammad Ubale Kiru, Aman Jantan, et al.
IEEE Access (2019) Vol. 7, pp. 158820-158846
Open Access | Times Cited: 509
Machine Learning in Agriculture: A Comprehensive Updated Review
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 505
Lefteris Benos, Aristotelis C. Tagarakis, Georgios Dolias, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3758-3758
Open Access | Times Cited: 505
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: 493
Hongkun Tian, Tianhai Wang, Yadong Liu, et al.
Information Processing in Agriculture (2019) Vol. 7, Iss. 1, pp. 1-19
Open Access | Times Cited: 493
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-96
Open Access | Times Cited: 458
David Rolnick, Priya L. Donti, Lynn H. Kaack, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-96
Open Access | Times Cited: 458
Deep learning – Method overview and review of use for fruit detection and yield estimation
Anand Koirala, Kerry B. Walsh, Zhenglin Wang, et al.
Computers and Electronics in Agriculture (2019) Vol. 162, pp. 219-234
Open Access | Times Cited: 437
Anand Koirala, Kerry B. Walsh, Zhenglin Wang, et al.
Computers and Electronics in Agriculture (2019) Vol. 162, pp. 219-234
Open Access | Times Cited: 437
Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming
Tawseef Ayoub Shaikh, Tabasum Rasool, Faisal Rasheed Lone
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107119-107119
Closed Access | Times Cited: 422
Tawseef Ayoub Shaikh, Tabasum Rasool, Faisal Rasheed Lone
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107119-107119
Closed Access | Times Cited: 422
Harnessing genomics to fast-track genetic improvement in aquaculture
Ross D. Houston, Tim P. Bean, Daniel J. Macqueen, et al.
Nature Reviews Genetics (2020) Vol. 21, Iss. 7, pp. 389-409
Open Access | Times Cited: 407
Ross D. Houston, Tim P. Bean, Daniel J. Macqueen, et al.
Nature Reviews Genetics (2020) Vol. 21, Iss. 7, pp. 389-409
Open Access | Times Cited: 407
Drones in agriculture: A review and bibliometric analysis
Abderahman Rejeb, Alireza Abdollahi, Karim Rejeb, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107017-107017
Open Access | Times Cited: 356
Abderahman Rejeb, Alireza Abdollahi, Karim Rejeb, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107017-107017
Open Access | Times Cited: 356
Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture
D. Muthumanickam, C. Poongodi, R. Kumaraperumal, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1745-1745
Open Access | Times Cited: 356
D. Muthumanickam, C. Poongodi, R. Kumaraperumal, et al.
Agriculture (2022) Vol. 12, Iss. 10, pp. 1745-1745
Open Access | Times Cited: 356
A survey of deep learning techniques for weed detection from images
A S M Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106067-106067
Open Access | Times Cited: 339
A S M Mahmudul Hasan, Ferdous Sohel, Dean Diepeveen, et al.
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106067-106067
Open Access | Times Cited: 339
Understanding the potential applications of Artificial Intelligence in Agriculture Sector
Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan, et al.
Advanced Agrochem (2022) Vol. 2, Iss. 1, pp. 15-30
Open Access | Times Cited: 334
Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan, et al.
Advanced Agrochem (2022) Vol. 2, Iss. 1, pp. 15-30
Open Access | Times Cited: 334
The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems
Jinha Jung, Murilo Maeda, Anjin Chang, et al.
Current Opinion in Biotechnology (2020) Vol. 70, pp. 15-22
Open Access | Times Cited: 327
Jinha Jung, Murilo Maeda, Anjin Chang, et al.
Current Opinion in Biotechnology (2020) Vol. 70, pp. 15-22
Open Access | Times Cited: 327
The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Rabiya Abbasi, Pablo Martı́nez, Rafiq Ahmad
Smart Agricultural Technology (2022) Vol. 2, pp. 100042-100042
Open Access | Times Cited: 295
Rabiya Abbasi, Pablo Martı́nez, Rafiq Ahmad
Smart Agricultural Technology (2022) Vol. 2, pp. 100042-100042
Open Access | Times Cited: 295
Nanotechnology and artificial intelligence to enable sustainable and precision agriculture
Peng Zhang, Zhiling Guo, Sami Ullah, et al.
Nature Plants (2021) Vol. 7, Iss. 7, pp. 864-876
Open Access | Times Cited: 284
Peng Zhang, Zhiling Guo, Sami Ullah, et al.
Nature Plants (2021) Vol. 7, Iss. 7, pp. 864-876
Open Access | Times Cited: 284
Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review
Theodora Angelopoulou, Nikolaos Tziolas, Athanasios Τ. Balafoutis, et al.
Remote Sensing (2019) Vol. 11, Iss. 6, pp. 676-676
Open Access | Times Cited: 282
Theodora Angelopoulou, Nikolaos Tziolas, Athanasios Τ. Balafoutis, et al.
Remote Sensing (2019) Vol. 11, Iss. 6, pp. 676-676
Open Access | Times Cited: 282
A review on monitoring and advanced control strategies for precision irrigation
Abiodun Emmanuel Abioye, Mohammad Shukri Zainal Abidin, Mohd Saiful Azimi Mahmud, et al.
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105441-105441
Closed Access | Times Cited: 282
Abiodun Emmanuel Abioye, Mohammad Shukri Zainal Abidin, Mohd Saiful Azimi Mahmud, et al.
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105441-105441
Closed Access | Times Cited: 282
