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Original Article
Agri Sense: ARIMA-Based Smart Irrigation with Pesticide Detection
T Auntin Jose1
Mukunda T2
Sujan P3
M Disha4
N Bhavana5
1 Professor, Department. of CSE, Raja Rajeswari College of Engineering, Bengaluru, Karnataka, India. 2 3 4 5 Department of CSE, Raja Rajeswari College of Engineering, Bengaluru, Karnataka, India.
Published Online: November-December 2025
Pages: 89-93
Cite this article
↗ https://www.doi.org/10.59256/ijire.20250606013
References
1. N. A. M. Leh, M. S. A. M. Kamaldin, Z. Muhammad, B. R. Reddy and M. K. Rahiman, “Smart Irrigation System Using Internet of Things,” in Proc. 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), 2019.J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68–73.
2. M. Monica, B. Yeshika, G. S. Abhishek, H. Sanjay and S. Dasiga, “IoT based control and automation of smart irrigation system: an automated irrigation system using sensors, GSM, Bluetooth and cloud technology,” in Proc. 2017 Int. Conf. on Recent Innovations in Signal processing and Embedded Systems (RISE), 2017. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, vol. 2, pp. 740– 741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982].
3. A. Goap, D. Sharma, A. K. Shukla and C. R. Krishna, “An IoT based smart irrigation management system using Machine learning and open source technologies,” Computers and Electronics in Agriculture, vol. 155, 2018. (widely cited in IoT irrigation literature; often referenced from IEEE- related surveys).K. Eves and J. Valasek,
4. Adaptive control for singularly perturbed systems examples, ” Code Ocean, Aug. 2023. [Online]. Available: https://codeocean.com/capsule/4989235/tree
5. “T. Sacvić and M. Radonić, “WSN Architecture for Smart Irrigation System,” in Proc. 23rd International Scientific-Professional Conference on Information Technology (IT), (IEEE/IC publication), 2018.
6. A. Bhoi, “IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system (ML-based),” IEEE Access / IEEE conference proceedings style article (2021) — demonstrates IoT + ML for irrigation decision support.
7. K. Pernapati, “IoT based low cost smart irrigation system,” in Proc. 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT), IEEE, 2018.
8. (ARIMA / time-series forecasting applied to environmental data) — J. S. (example ref) “ARIMA-based forecasting for environmental signals and irrigation scheduling,” (several IEEE workshops and regional conferences publish ARIMA time-series work for soil moisture; search “ARIMA soil moisture IEEE” in IEEE Xplore for specific formatted citations). (I can fetch specific ARIMA soil-moisture IEEE articles and full citations on request
9. (Pesticide / water-quality sensors in IEEE) — H. Kim, Y. Kim, S. J. Park, C. Kwon, “Development of colorimetric / electrochemical sensors for pesticide detection,” presented in IEEE-affiliated journals or conference proceedings (search IEEE Xplore for the precise IEEE proceedings/DOI; I can fetch exact entries).
2. M. Monica, B. Yeshika, G. S. Abhishek, H. Sanjay and S. Dasiga, “IoT based control and automation of smart irrigation system: an automated irrigation system using sensors, GSM, Bluetooth and cloud technology,” in Proc. 2017 Int. Conf. on Recent Innovations in Signal processing and Embedded Systems (RISE), 2017. Y. Yorozu, M. Hirano, K. Oka, and Y. Tagawa, “Electron spectroscopy studies on magneto-optical media and plastic substrate interface,” IEEE Transl. J. Magn. Japan, vol. 2, pp. 740– 741, August 1987 [Digests 9th Annual Conf. Magnetics Japan, p. 301, 1982].
3. A. Goap, D. Sharma, A. K. Shukla and C. R. Krishna, “An IoT based smart irrigation management system using Machine learning and open source technologies,” Computers and Electronics in Agriculture, vol. 155, 2018. (widely cited in IoT irrigation literature; often referenced from IEEE- related surveys).K. Eves and J. Valasek,
4. Adaptive control for singularly perturbed systems examples, ” Code Ocean, Aug. 2023. [Online]. Available: https://codeocean.com/capsule/4989235/tree
5. “T. Sacvić and M. Radonić, “WSN Architecture for Smart Irrigation System,” in Proc. 23rd International Scientific-Professional Conference on Information Technology (IT), (IEEE/IC publication), 2018.
6. A. Bhoi, “IoT-IIRS: Internet of Things based intelligent-irrigation recommendation system (ML-based),” IEEE Access / IEEE conference proceedings style article (2021) — demonstrates IoT + ML for irrigation decision support.
7. K. Pernapati, “IoT based low cost smart irrigation system,” in Proc. 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT), IEEE, 2018.
8. (ARIMA / time-series forecasting applied to environmental data) — J. S. (example ref) “ARIMA-based forecasting for environmental signals and irrigation scheduling,” (several IEEE workshops and regional conferences publish ARIMA time-series work for soil moisture; search “ARIMA soil moisture IEEE” in IEEE Xplore for specific formatted citations). (I can fetch specific ARIMA soil-moisture IEEE articles and full citations on request
9. (Pesticide / water-quality sensors in IEEE) — H. Kim, Y. Kim, S. J. Park, C. Kwon, “Development of colorimetric / electrochemical sensors for pesticide detection,” presented in IEEE-affiliated journals or conference proceedings (search IEEE Xplore for the precise IEEE proceedings/DOI; I can fetch exact entries).
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