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Original Article

To Design ESP32-Driven System for Soil Health and Climate Adaptive Irrigation Network Using Iot

Mangla Biradar1 Beldar Vijay2 Pandechari Samyak3 Salve Bhushan4 Pawar Soham5
1 Professor, SRCOE, Department of Computer Engineering Pune, Maharashtra, India. 2 3 4 5 SRCOE, Department of Computer Engineering Pune, Maharashtra, India.

Published Online: May-August 2026

Pages: 379-389

References

1. Yu, L., Gao, W., &Shamshiri, R. R. (2021). Review of Research Progress on Soil Moisture Sensor Technology. International Journal of Agricultural and Biological Engineering (IJABE).
2. Robodo Technologies Pvt. Ltd. (2021). Robodo SEN6 Soil Moisture Sensor Module – Technical Datasheet.
3. Sharma, A., et al. (2025). YL-83 Rain Detection Sensor Module for IoT Applications. International Journal of Advanced Research in Science, Communication and Technology.
4. Feresu, Z., Mashonjowa, E., &Matandirotya, E. (2022). Performance Evaluation of DHT11 Temperature and Humidity Sensor for IoT Weather Systems. Journal of Electrical Engineering & Electronic Technology.
5. Espressif Systems. (2020). ESP32 Microcontroller – Technical Overview and IoT Applications.
6. Espressif Systems. (2019). NodeMCU (ESP8266) Development Board – Technical Reference.
7. Espressif Systems. (2021). ESP32-CAM Module – Camera-Based IoT System Datasheet.
8. Sensirion AG. (2022). SHT3x (SHT31) Smart Humidity and Temperature Sensor – Product Datasheet.
9. Adla, S., et al. (2025). Laboratory Calibration of Soil Moisture Sensors in Porous Media. Protocols.io Research Publication.
10. Tukan, M. I., &Azizahwati. (2024). Monitoring Tools Using DHT11 Sensor, Soil Moisture Sensor and Motion Sensor. Journal of Future Research in Science and Engineering (JOF-RISE).
11. NeelamLabhadeKumar, Mangala S Biradar, Ashvini Narayan Pawale,"Reinforcement Learning-Based Deep FEFM for Blockchain Consensus Mechanism Optimization with Non-Linear Analysis"Journal of Computational Analysis and Applications, Vol. 33 No. 05 (2024)
12. NeelamLabhade-Kumar “Shot Boundary Detection Using Artificial Neural Network”, Advances in Signal and Data Processing. Lecture Notes in Electrical Engineering, Springer, Vol 703. PP-44-55 Jan-2021
13. NeelamLabhade-Kumar Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical Analysis of The Hybrid Energy-Efficient Distributed (HEED) Algorithm, Communications on Applied Nonlinear Analysis, ISSN: 1074-133XVol 31 No. 6s (2024), PP-602-617 August 2024
14. NeelamLabhade-Kumar “Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and Smart Sensors"7th International Conference on Inventive Computation Technologies, IEEE Xplore Part Number : CFP24F70-ART ;ISBN : 979-8-3503-5929-9, 2024,PP-1961-1968
15. Dr.NeelamLabhade-Kumar “Novel Management Trends Using IOT in Indian Automotive Spares Manufacturing Industries”, Journal of Pharmaceutical Negative Results , Vol. 13 ISSUE 09,PP 4887-4899, Nov-2022
16. Dr.NeelamLabhade-Kumar “Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission In WSN”, Journal of Pharmaceutical Negative Results, Vol. 14 ISSUE 02,PP-480-484, Jan-2023,
17. NeelamLabhade-Kumar “Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans”, Journal of Artificial Intelligence and Technology, 2023
18. NeelamLabhade-Kumar “Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep Learning Techniques”, Carpathian Journal of Food Science and Technology,2023, Special Issue, 1-18
19. NeelamLabhade-Kumar “Accident prevention and management system in urban VANET for improving slippery roads ride after rain” Journal of environmental protection and ecology, ISSN:1311-5065 Issue 2 volume 25,PP 586–599,2024
20. Prof. Dr. Neelam Labhade-Kumar, An image processing method for kidney stone segmentation in CT scan images based on CNN-regularized extreme learning machine approach, Hybrid and Advanced Technologies, PP- 217-222,202

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