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- Vol. 6 Issue 6
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AI-Assisted Robot for Detecting Defects in Water Pipeline System
Authors
1 Assistant Professor, Department of CSE, Rathinam Technical Campus, Coimbatore, Tamil Nadu, India. 2 3 4 5 Final Year Students, Department of CSE, Rathinam Technical Campus Coimbatore, Tamil Nadu, India.
Article Information
- Published In
- Volume 6, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 09-14
- Article Type
- Original Article
- Check for updates
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References
1. R. K. Sharma and S. K. Gupta, “Digital Agriculture Platforms: A Review,” International Journal of Agricultural Technology, vol. 15, no. 3, pp. 45–57, 2023.
2. M. Patel and A. Verma, “IoT Applications in Smart Farming: Enhancing Crop Productivity,” Journal of IoT and Agriculture, vol. 8, no. 2, pp. 12–21, 2022.
3. S. Kumar et al., “Blockchain in Agriculture: Ensuring Transparency and Traceability,” IEEE Access, vol. 10, pp. 67890–67902, 2022.
4. A. Singh and P. Sharma, “E-Commerce Solutions for Direct Farmer-to-Consumer Markets,” International Journal of E-Business Research, vol. 19, no. 4, pp. 34–46, 2023.
5. Government of India, “National Agriculture Policy and Farmer Welfare Schemes,” Ministry of Agriculture & Farmers Welfare, 2023. [Online]. Available: https://agricoop.nic.in
6. J. Lee, “Predictive Analytics in Agriculture: Trends and Opportunities,” Journal of Data- Driven Agriculture, vol. 5, no. 1, pp. 55–67,2022.
2. M. Patel and A. Verma, “IoT Applications in Smart Farming: Enhancing Crop Productivity,” Journal of IoT and Agriculture, vol. 8, no. 2, pp. 12–21, 2022.
3. S. Kumar et al., “Blockchain in Agriculture: Ensuring Transparency and Traceability,” IEEE Access, vol. 10, pp. 67890–67902, 2022.
4. A. Singh and P. Sharma, “E-Commerce Solutions for Direct Farmer-to-Consumer Markets,” International Journal of E-Business Research, vol. 19, no. 4, pp. 34–46, 2023.
5. Government of India, “National Agriculture Policy and Farmer Welfare Schemes,” Ministry of Agriculture & Farmers Welfare, 2023. [Online]. Available: https://agricoop.nic.in
6. J. Lee, “Predictive Analytics in Agriculture: Trends and Opportunities,” Journal of Data- Driven Agriculture, vol. 5, no. 1, pp. 55–67,2022.
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