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Correction

Correction: Senoo et al. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics 2024, 13, 1894

by
Elisha Elikem Kofi Senoo
1,
Lia Anggraini
1,
Jacqueline Asor Kumi
2,
Luna Bunga Karolina
1,
Ebenezer Akansah
3,
Hafeez Ayo Sulyman
1,
Israel Mendonça
4,* and
Masayoshi Aritsugi
4,*
1
Graduate School of Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan
2
Department of Computer Science, Ho Technical University, Ho VH-0044, Ghana
3
University of Ghana Computing Systems, University of Ghana, Accra G4-490, Ghana
4
Faculty of Advanced Science and Technology, Kumamoto University, Kumamoto 860-8555, Japan
*
Authors to whom correspondence should be addressed.
Electronics 2025, 14(14), 2767; https://doi.org/10.3390/electronics14142767
Submission received: 29 May 2025 / Accepted: 24 June 2025 / Published: 10 July 2025
Browse Figure
Versions Notes
In the original publication [1], the citation referring to reference 49 in the manuscript has been retracted. Concerns were raised on References 116, 207, 244, and 283.
Due to this matter, the following references were removed from the reference list:
49.
Kumar, R.; Chug, A.; Chug, A.; Singh, A.P.; Singh, A.P.; Singh, D. A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review. J. Sens. 2022, 2022, 3287561.
116.
Harakannanavar, S.S.; Joshitha, T.; Thejashree, V. Intelligent Agriculture Using Machine Learning and Internet of Things. In Proceedings of the 2023 International Conference on Data Science and Network Security (ICDSNS), Tiptur, India, 28–29 July 2023; pp. 1–5.
207.
Shobana, G.; Sudheksha, S.; Vinothini, K. Fruit Freshness Detecting System Using Deep Learning and Raspberry PI. In Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 15–16 July 2022; pp. 1–7.
244.
Arya, P.S.; Gangwar, M. A Proposed Architecture: Detecting Freshness of Vegetables using Internet of Things (IoT) & Deep Learning Prediction Algorithm. In Proceedings of the 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 17–18 December 2021; pp. 718–723.
283.
Mehra, M.; Saxena, S.; Sankaranarayanan, S.; Tom, R.J.; Veeramanikandan, M. IoT based hydroponics system using Deep Neural Networks. Comput. Electron. Agric. 2018, 155, 473–486.
Due to the removal of the references, subsequent references and the corresponding citations in the main text have been adjusted to align with numerical order. The following content has been updated:
Figure 1 has been updated accordingly:
In Table 8, reference 116 has been deleted. In Table A2, Rows 25, 37, 72, and 187 have been deleted. In Section 5.3.1, “Other works utilized a hybrid of the neural network method and machine learning methods for detecting the freshness of fruit [207] and animal intrusion” has been updated to “Another work utilizes a hybrid of the neural network method and machine learning methods for detecting animal intrusion”.
The authors clarify that the scientific conclusions remain unchanged despite the removal of the references from the manuscript. These corrections have been approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Senoo, E.E.K.; Anggraini, L.; Kumi, J.A.; Karolina, L.B.; Akansah, E.; Sulyman, H.A.; Mendonça, I.; Aritsugi, M. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics 2024, 13, 1894. [Google Scholar] [CrossRef]
Electronics 14 02767 g001
Figure 1. Review studies about AI and IoT applications in agriculture presented in a Venn diagram. Cited studies for IoT only: Pathmudi et al. (2023) [7], Avşar et al. (2022) [21], Gonzalez et al. (2022) [22], Cariou et al. (2023) [23], Di Renzone et al. (2021) [24], Ganapathi et al. (2023) [6], Abu et al. (2022) [25], Shi et al. (2019) [26], Kumar et al. (2024) [27], Polymeni et al. (2023) [28], Shrestha et al. (2024) [29], Widianto et al. (2023) [30], Fondaj et al. (2023) [31], Dewari et al. (2023) [32], Zamir et al. (2023) [33], Rathi et al. (2023) [34], Singh et al. (2023) [35], Chataut et al. (2023) [36], and Bulut et al. (2023) [37]. Cited studies for AI only: Singh et al. (2022) [38], Sharma et al. (2020) [39], Cravero et al. (2021) [40], Mirani et al. (2021) [41], Jhajharia et al. (2022) [42], Gill et al. (2022) [43], Mekonnen et al. (2020) [44], Oliveira et al. (2023) [45], Shaikh et al. (2020) [46], Rinkesh et al. (2022) [47], Condran et al. (2022) [48], Setiawan et al. (2022) [49], Suharso et al. [50], Shahi et al. (2022) [51], Falana et al. (2022) [52], Chlingaryan et al. (2018) [53], Sunil et al. (2022) [54], Aherwadi et al. (2022) [55], and Dhiman et al. (2022) [56]. Cited studies for IoT with AI: Qazi et al.(2022) [57], Pathan et al. (2020) [58], Singh et al. (2021) [59], Tonado et al. (2022) [60], Swamidason et al. (2022) [61], Alahmad et al. (2022) [62], Keru Patil et al. (2022) [63], Gupta et al. (2022) [64], and Baghel et al. (2022) [65].
Figure 1. Review studies about AI and IoT applications in agriculture presented in a Venn diagram. Cited studies for IoT only: Pathmudi et al. (2023) [7], Avşar et al. (2022) [21], Gonzalez et al. (2022) [22], Cariou et al. (2023) [23], Di Renzone et al. (2021) [24], Ganapathi et al. (2023) [6], Abu et al. (2022) [25], Shi et al. (2019) [26], Kumar et al. (2024) [27], Polymeni et al. (2023) [28], Shrestha et al. (2024) [29], Widianto et al. (2023) [30], Fondaj et al. (2023) [31], Dewari et al. (2023) [32], Zamir et al. (2023) [33], Rathi et al. (2023) [34], Singh et al. (2023) [35], Chataut et al. (2023) [36], and Bulut et al. (2023) [37]. Cited studies for AI only: Singh et al. (2022) [38], Sharma et al. (2020) [39], Cravero et al. (2021) [40], Mirani et al. (2021) [41], Jhajharia et al. (2022) [42], Gill et al. (2022) [43], Mekonnen et al. (2020) [44], Oliveira et al. (2023) [45], Shaikh et al. (2020) [46], Rinkesh et al. (2022) [47], Condran et al. (2022) [48], Setiawan et al. (2022) [49], Suharso et al. [50], Shahi et al. (2022) [51], Falana et al. (2022) [52], Chlingaryan et al. (2018) [53], Sunil et al. (2022) [54], Aherwadi et al. (2022) [55], and Dhiman et al. (2022) [56]. Cited studies for IoT with AI: Qazi et al.(2022) [57], Pathan et al. (2020) [58], Singh et al. (2021) [59], Tonado et al. (2022) [60], Swamidason et al. (2022) [61], Alahmad et al. (2022) [62], Keru Patil et al. (2022) [63], Gupta et al. (2022) [64], and Baghel et al. (2022) [65].
Electronics 14 02767 g001
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MDPI and ACS Style

Senoo, E.E.K.; Anggraini, L.; Kumi, J.A.; Karolina, L.B.; Akansah, E.; Sulyman, H.A.; Mendonça, I.; Aritsugi, M. Correction: Senoo et al. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics 2024, 13, 1894. Electronics 2025, 14, 2767. https://doi.org/10.3390/electronics14142767

AMA Style

Senoo EEK, Anggraini L, Kumi JA, Karolina LB, Akansah E, Sulyman HA, Mendonça I, Aritsugi M. Correction: Senoo et al. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics 2024, 13, 1894. Electronics. 2025; 14(14):2767. https://doi.org/10.3390/electronics14142767

Chicago/Turabian Style

Senoo, Elisha Elikem Kofi, Lia Anggraini, Jacqueline Asor Kumi, Luna Bunga Karolina, Ebenezer Akansah, Hafeez Ayo Sulyman, Israel Mendonça, and Masayoshi Aritsugi. 2025. "Correction: Senoo et al. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics 2024, 13, 1894" Electronics 14, no. 14: 2767. https://doi.org/10.3390/electronics14142767

APA Style

Senoo, E. E. K., Anggraini, L., Kumi, J. A., Karolina, L. B., Akansah, E., Sulyman, H. A., Mendonça, I., & Aritsugi, M. (2025). Correction: Senoo et al. IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities. Electronics 2024, 13, 1894. Electronics, 14(14), 2767. https://doi.org/10.3390/electronics14142767

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