Current - Issue
Original Article
Intelligent IOT-Based Monitoring and Control System for Agaricus Bisporus Cultivation Using Sensor Fusion and Image Analysis
Yashwanth Gowda K S1
Nischitha S2
A N Kushal Gowda3
1 3 Student, Department of ECE, BGS Institute of Technology, Adichunchanagiri University, B G Nagara, Karnataka, India. 2 Assistant Professor, Department of ECE, Faculty of Engineering, Management & Technology, BGSIT, Adichunchanagiri University, B G Nagara, Karnataka, India.
Published Online: May-June 2026
Pages: 228-234
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260703022
References
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Advanced Computer Science and Applications, vol. 15, no. 4, pp. 321–329, 2024.
9. S. Rana, P. Verma, and K. Gupta, “Sensor-based smart mushroom cultivation system using IoT,” in Proc. Smart IoT Conf., 2023, pp.
55–60.
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245, 2025.
13. A. I. Károly, G. Kovács, and P. Tóth, “Deep learning-based mushroom detection using synthetic datasets,” IEEE Transactions on
Artificial Intelligence, vol. 6, no. 1, pp. 45–56, 2025.
14. H. Rahman, M. Islam, and S. Hossain, “IoT-based environmental monitoring system for greenhouse farming,” Computers and
Electronics in Agriculture, vol. 210, pp. 107823, 2024.
15. R. Patel and S. Shah, “Real-time crop monitoring using IoT and machine learning techniques,” International Journal of Computer
Applications, vol. 185, no. 12, pp. 22–30, 2023.
16. S. Kumar, A. Verma, and R. Singh, “Smart agriculture system using ESP32 and cloud computing,” in Proc. IEEE Int. Conf. on Smart
Systems (ICSS), 2023, pp. 144–149.
17. Y. Zhang and X. Huang, “An intelligent monitoring system for agricultural environments using IoT,” Sensors, vol. 23, no. 7, pp. 3456–
3470, 2023.
18. P. Gupta and R. Mehta, “AI-based anomaly detection in agricultural systems using sensor data,” IEEE Internet of Things Journal, vol.
10, no. 5, pp. 4123–4135, 2023.
19. K. Nguyen, T. Le, and H. Pham, “Low-cost IoT system for precision agriculture monitoring,” IEEE Access, vol. 11, pp. 56789–56800,
2023.
20. A. Sharma and R. Verma, “Integration of machine learning and IoT for smart farming applications,” Journal of Ambient Intelligence
and Humanized Computing, vol. 14, no. 8, pp. 1123–1135, 2024.
Research in Computer Science, vol. 15, no. 2, pp. 78–85, 2024.
2. D. Purbohadi, “Semi-automated IoT monitoring system for mushroom greenhouse cultivation,” Journal of Agriculture and Smart
Farming, vol. 12, no. 2, pp. 115–123, 2026.
3. M. O. A. Foffano, L. R. Silva, and P. Mendes, “Design and evaluation of an IoT-enabled mushroom cultivation chamber,”
Sustainability, vol. 17, no. 22, pp. 10332–10345, 2025. D. P. Guragain, S. K. Shrestha, and R. Bhandari, “IoT-driven smart farming system for mushroom cultivation with disease detection,”
International Journal of Science and Research Archive, vol. 14, no. 1, pp. 256–265, 2025.
5. H. Singh, R. Kaur, and P. Sharma, “IoT and AI-based mushroom farming: A comprehensive review,” Journal of Agricultural
Engineering, vol. 58, no. 3, pp. 145–160, 2025.
6. A. Al-Talib, M. Hassan, and K. Rahman, “IoT-based smart mushroom growing kit using ESP32,” in Proc. International Conf. on
Automation, Robotics and Optimization (ICAROB), 2024, pp. 210–215.
7. G. J. Taupa, M. K. Das, and A. Roy, “Optimizing mushroom cultivation using solar-powered IoT systems,” in Proc. IEEE Int. Conf.
on Data Science and Intelligent Technology (DSIT), 2024, pp. 98–103.
8. F. Irwanto, A. Nugroho, and B. Santoso, “Integration of IoT and fuzzy logic for smart mushroom cultivation,” International Journal of
Advanced Computer Science and Applications, vol. 15, no. 4, pp. 321–329, 2024.
9. S. Rana, P. Verma, and K. Gupta, “Sensor-based smart mushroom cultivation system using IoT,” in Proc. Smart IoT Conf., 2023, pp.
55–60.
10. N. Subari, A. Hamid, and M. Zain, “Machine learning-based intelligent system for mushroom cultivation monitoring,” Journal of
Smart Agriculture, vol. 9, no. 2, pp. 88–96, 2025.
11. J. Jiang, Q. Feng, and T. Lei, “Farm-LightSeek: Edge-based multimodal IoT framework for smart agriculture,” IEEE Access, vol. 13,
pp. 10245–10260, 2025.
12. M. El-Dosuky, “Semantic IoT framework for smart agriculture applications,” Future Generation Computer Systems, vol. 145, pp. 234–
245, 2025.
13. A. I. Károly, G. Kovács, and P. Tóth, “Deep learning-based mushroom detection using synthetic datasets,” IEEE Transactions on
Artificial Intelligence, vol. 6, no. 1, pp. 45–56, 2025.
14. H. Rahman, M. Islam, and S. Hossain, “IoT-based environmental monitoring system for greenhouse farming,” Computers and
Electronics in Agriculture, vol. 210, pp. 107823, 2024.
15. R. Patel and S. Shah, “Real-time crop monitoring using IoT and machine learning techniques,” International Journal of Computer
Applications, vol. 185, no. 12, pp. 22–30, 2023.
16. S. Kumar, A. Verma, and R. Singh, “Smart agriculture system using ESP32 and cloud computing,” in Proc. IEEE Int. Conf. on Smart
Systems (ICSS), 2023, pp. 144–149.
17. Y. Zhang and X. Huang, “An intelligent monitoring system for agricultural environments using IoT,” Sensors, vol. 23, no. 7, pp. 3456–
3470, 2023.
18. P. Gupta and R. Mehta, “AI-based anomaly detection in agricultural systems using sensor data,” IEEE Internet of Things Journal, vol.
10, no. 5, pp. 4123–4135, 2023.
19. K. Nguyen, T. Le, and H. Pham, “Low-cost IoT system for precision agriculture monitoring,” IEEE Access, vol. 11, pp. 56789–56800,
2023.
20. A. Sharma and R. Verma, “Integration of machine learning and IoT for smart farming applications,” Journal of Ambient Intelligence
and Humanized Computing, vol. 14, no. 8, pp. 1123–1135, 2024.
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