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Research Article

Smart Crop Advisory and Disease Detection System with Cloud-Connected Irrigation Using IoT

  • ICCAIS-2026
  • Volume 5, Issue 1
  • Pages 07-13
  • Published Online: 2026
Open Access Peer Reviewed Crossref DOI

Authors

  • Sahebjhadekar Vinay Prasad1
  • Shetharashi Shankar2
  • Regula Akshaya3
  • Rapolu Shiva Kumar4
  • Guguloth Vijaya5

1 2 3 4 5 Department Of Electronics and Communication Engineering Teegala Krishna Reddy Engineering College (Affiliated To Jntuh) Hyderabad, Telangana, India.

Article Information

Organised By
Madanapalle Institute of Technology & Science (MITS)
Conference Date
9 & 10 March 2026
Pages
07-13
Article Type
Research Article
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References

1. AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations, IEEE, 2025.
2. M. Mohiuddin, M. S. Islam, and S. Shanjida, “Internet of Things (IoT)-Based Smart Agriculture Irrigation and Monitoring System Using Ubidots Server,” Engineering Proceedings, vol. 82, p. 99, 2024.
3. M. M. Badreldeen, M. A. Ragab, A. Sedhom, and W. M. Mamdouh, “IoT Based Smart Irrigation System,” International Journal of Industry and Sustainable Development, vol. 3, no. 1, pp. 76–86, 2022.
4. A. Wani, V. Yadav, R. Todankar, P. Wade, and S. Malik, “Crop Prediction using IoT & Machine Learning Algorithm,” International Research Journal of Engineering and Technology (IRJET), vol. 9, no. 4, 2022.
5. “Smart Agriculture Monitoring Systems Using IoT and Cloud Computing,” EasyChair Preprint.
6. “IoT Based Smart Agriculture System Using ESP32,” International Journal of Advanced Research in Science and Technology.
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