IRO Journals
Journal of ISMAC

Smart Agriculture Using IoT Sensors and Crop Suggestion System

Open Access
Published: 10 June, 2026
Pages: 195-206
  • Manohar S. , Manohar S.
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
  • Pera Mohan Krishna , Pera Mohan Krishna
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
  • Karthik Reddy R. , Karthik Reddy R.
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
  • Girendra Babu T. , Girendra Babu T.
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
    Student, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
  • Lakshmipathy M. Lakshmipathy M.
    Associate Professor, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
    Associate Professor, Department of Electronics and Communication Engineering, Kuppam Engineering College, Kuppam, Andhra Pradesh, India
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How to Cite

S., Manohar, Pera Mohan Krishna, Karthik Reddy R., Girendra Babu T., and Lakshmipathy M. 2026. “Smart Agriculture Using IoT Sensors and Crop Suggestion System”. Journal of ISMAC 8 (3): 195-206. https://doi.org/10.36548/jismac.2026.3.001.
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Keywords

Smart Agriculture
Internet of Things (IoT)
ESP32 Microcontroller
Automated Irrigation System
Soil Monitoring
Crop Recommendation System
Precision Agriculture
Embedded Systems

Abstract

Smart Agriculture promotes modern technology use to improve efficiency and productivity while decreasing the waste of resources. This research presents an example of the implementation of the Smart Agriculture concept. It features the use of Internet of Things (IoT) Sensors and a Crop Suggestion System, developed using the ESP32/Arduino boards and agricultural sensors. The Smart Agriculture System being developed in this research will be able to continuously monitor key soil and environmental factors; in this case, moisture, pH, temperature and humidity, as well as NPK. The agricultural sensors will collect and send the measurements and the microcontroller will have the capability to assess the condition of the field and aid in making smart agriculture decisions. A crop suggestion system utilizes a set of rules to assess the soil fertility and environmental parameters to provide an appropriate crop suggestion. The crop suggestion, along with the sensor measurements, is displayed on a TFT Module. Performance tests showed excellent measuring, processing, and irrigation functionalities. The system prototype minimizes water waste, industrial effort, and improves the effectiveness of irrigation systems and smart agriculture practices.

References

  1. Sunandini, M., R. Deepiga, and A. Gokulapriya. "Smart Soil Fertilizer Monitoring and Crop Recommendation System by Using IoT and Machine Learning Technology." International Research Journal of Education and Technology 2023, vol. 6, no. 5, 464-467.
  2. Karuna, Gotlur, RP Ram Kumar, Polepaka Sanjeeva, Palakurthy Deepthi, Hazim Y. Saeed, Lavish Kansal, and Praveen Praveen. "Crop Recommendation System and Crop Monitoring Using IoT." In E3S web of conferences 2024, EDP Sciences, vol. 507, 01063.
  3. Kancharagunta, Kishan Babu, Yaganteeswarudu Akkem, Madhu Vembadi, Shravan Teja Garalapati, A. Hari Pratap Varma, and M. Ruha Jessica. "Crop Recommendation System Using Machine Learning and IoT: A Survey." In International Conference On Innovative Computing And Communication, Springer Nature Singapore, 2024, 63-86.
  4. Kamilaris, Andreas, and Francesc X. Prenafeta-Boldú. "Deep Learning in Agriculture: A Survey." Computers and electronics in agriculture 2018, vol. 147: 70-90.
  5. Gondchawar, Nikesh, and R. S. Kawitkar. "IoT Based Smart Agriculture." International Journal of advanced research in Computer and Communication Engineering 2016, vol. 5, no. 6: 838-842.
  6. Nandurkar, S. R., V. R. Thool, and R. C. Thool. "Design and Development of Precision Agriculture System Using Wireless Sensor Network." In 2014 First international conference on automation, control, energy and systems (ACES), 1-6.
  7. Wolfert, Sjaak, Lan Ge, Cor Verdouw, and Marc-Jeroen Bogaardt. "Big Data in Smart Farming–A Review." Agricultural systems 2017, vol. 153: 69-80.
  8. Li, Lin. "Application of the Internet of Thing in Green Agricultural Products Supply Chain Management." In 2011 Fourth International Conference on Intelligent Computation Technology and Automation, vol. 1, 1022-1025.
  9. Navulur, Sridevi, A. S. C. S. Sastry, and MN Giri Prasad. "Agricultural Management Through Wireless Sensors and Internet of Things." International Journal of Electrical and Computer Engineering 2017, vol. 7, no. 6: 3492.
  10. Ayaz, Muhammad, Mohammad Ammad-Uddin, Zubair Sharif, Ali Mansour, and El-Hadi M. Aggoune. "Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk." IEEE Access 2019, vol. 7: 129551-129583.
  11. Apat, Shraban Kumar, Jyotirmaya Mishra, K. Srujan Raju, and Neelamadhab Padhy. "An Artificial Intelligence-Based Crop Recommendation System Using Machine Learning." Journal of Scientific & Industrial Research (JSIR) 2023, vol. 82, no. 05: 558-567.
  12. Namani, Sriveni, and Bilal Gonen. "Smart Agriculture Based on IoT and Cloud Computing." 3rd International Conference on Information and Computer Technologies (ICICT), San Jose, CA, USA, 2020, 553-556.
  13. Panjagal S.B., Lakshmipathy M., Harinath V., Kodandaramaiah G.N., "Design of Soil Condition Management System in Precision Agriculture Using Autonomous Wireless Sensing Nodes," International Journal of Engineering Research in Electronics and Communication Engineering (IJERECE), (2016): 115–119.
  14. Joseph, K., and M. Lakshmipathy. "Air Quality Prediction on IoT Real-Time Sensor Using Supervised Machine Learning." In AIP Conference Proceedings, vol. 2965, no. 1, AIP Publishing LLC, 2024, 030009.