Journal of ISMAC
IRO Journals
Volume 7 — Issue 4 — December 2025

A Farming System with Automatic Irrigation, Fertilization and Crop Protection

https://doi.org/10.36548/jismac.2025.4.004
Pages: 354-367
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Gowthami D.
Assistant Professor, Department of Electronics and Communication Engineering, PSCMR College of Engineering and Technology
Rama Lakshmi Sravya B.
UG Student, Department of Electronics and Communication Engineering, PSCMR College of Engineering and Technology
Poojitha K.
UG Student, Department of Electronics and Communication Engineering, PSCMR College of Engineering and Technology
Yaswanth D.
UG Student, Department of Electronics and Communication Engineering, PSCMR College of Engineering and Technology
Hari Kumar CH.
UG Student, Department of Electronics and Communication Engineering, PSCMR College of Engineering and Technology
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How to Cite

D., Gowthami, Rama Lakshmi Sravya B., Poojitha K., Yaswanth D., and Hari Kumar CH. 2026. “A Farming System With Automatic Irrigation, Fertilization and Crop Protection”. Journal of ISMAC 7 (4): 354-67. https://doi.org/10.36548/jismac.2025.4.004.
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Keywords

— Smart Agricultural System
— IoT Technology
— Sensor Automation
— Automatic Fertilization
— Irrigation System
— Crop Protection System
Published: 23-01-2026

Abstract

This paper presents a smart agricultural system with the purpose of transforming agriculture through the integration of an automatic fertilization and irrigation system and a crop protection system. This system works with the recent IoT technology, Blynk App, sensor automation and smart pesticide spraying systems to increase agriculture productivity, save chemicals and water, and use available resources. Automatic crop protection system applies a microcontroller-based system for monitoring environmental parameters and providing selective pesticide sprinkling when needed to avoid wastage of chemicals and their impact on the environment. The automatic fertilization and irrigation systems constantly monitor soil moisture, temperature, pH and water level with sensors to ensure maximum growth of plants by providing precise irrigation and nutrient supply and combining this system as a cost-efficient solution for modern smart farming.

References

  1. Mohamed, Elsayed Said, A. A. Belal, Sameh Kotb Abd-Elmabod, Mohammed A. El-Shirbeny, A. Gad, and Mohamed B. Zahran. "Smart farming for improving agricultural management." The Egyptian Journal of Remote Sensing and Space Science 24, no. 3, 2021: 971-981.
  2. Jeong, Jin-Hyoung, Chang-Mok Lim, Jae-Hyun Jo, Ju-hee Kim, Su-Hwan Kim, Ki-Young Lee, and Sang-Sik Lee. "A study on the monitoring system of growing environment department for smart farm." The Journal of Korea Institute of Information, Electronics, and Communication Technology 12, no. 3, 2019: 290-298.
  3. Rehman, Aqeel-ur. "Smart agriculture: An approach towards better agriculture management." Omics Group. ebooks (2015).
  4. Cheng, Yunli, Hainie Meng, Lina Yuan, and Yaohua Lei. "Research on edge computing technology of internet of things based on intelligent and environmental protection." In 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE). IEEE, 2021: 581-590.
  5. Liu, Shouyi, Dongling Wei, and Jiajun Liu. "Agricultural information engineering research." In 2011 International Conference on Computer Science and Service System (CSSS). IEEE, 2011.
  6. Visconti, Paolo, Roberto de Fazio, Ramiro Velázquez, Carolina Del-Valle-Soto, and Nicola Ivan Giannoccaro. "Development of sensors-based agri-food traceability system remotely managed by a software platform for optimized farm management." Sensors 20, no. 13, 2020: 3632.
  7. Villa-Henriksen, Andrés, Gareth TC Edwards, Liisa A. Pesonen, Ole Green, and Claus Aage Grøn Sørensen. "Internet of Things in arable farming: Implementation, applications, challenges and potential." Biosystems engineering 191, 2020: 60-84.
  8. Yang, Xing, Lei Shu, Jianing Chen, Mohamed Amine Ferrag, Jun Wu, Edmond Nurellari, and Kai Huang. "A survey on smart agriculture: Development modes, technologies, and security and privacy challenges." IEEE/CAA Journal of Automatica Sinica 8, no. 2, 2021: 273-302.
  9. Huh, Jun-Ho. "PLC-based design of monitoring system for ICT-integrated vertical fish farm." Human-centric Computing and Information Sciences 7, no. 1, 2017: 20.
  10. Chaudhary, D. D., S. P. Nayse, and L. M. Waghmare. "Application of wireless sensor networks for greenhouse parameter control in precision agriculture." International Journal of Wireless & Mobile Networks (IJWMN) 3, no. 1, 2011: 140-149.
  11. Navarro, Emerson, Nuno Costa, and António Pereira. "A systematic review of IoT solutions for smart farming." Sensors 20, no. 15, 2020: 4231.
  12. Dagar, Rahul, Subhranil Som, and Sunil Kumar Khatri. "Smart farming–IoT in agriculture." In 2018 International Conference on Inventive Research in Computing Applications (ICIRCA), IEEE, 2018: 1052-1056.
  13. Chartzoulakis, Konstantinos, and Maria Bertaki. "Sustainable water management in agriculture under climate change." Agriculture and Agricultural Science Procedia 4, 2015: 88-98.
  14. Ye, Yulu, Yuhui Yang, Lei Zhu, Jerry Wang, and Dongning Rao. "A lora-based low-power smart water metering system." In 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), IEEE, 2021: 301-305.
  15. Yoon, Hye Won, Dong Jun Kim, Miran Lee, Chaehee Weon, and Anthony Smith. "L & M farm: A smart farm based on LoRa & MQTT." In 2020 International Conference on Omni-layer Intelligent Systems (COINS), IEEE, 2020: 1-6.