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IoT Technologies in Agriculture- A Smart Village Transformation

Students & Supervisors

Student Authors
Abir Tirtha Das
Bachelor of Science in Electrical & Electronic Engineering, FE
Nahim Amin
Bachelor of Science in Electrical & Electronic Engineering, FE
Moshiour Rahaman Murad
Bachelor of Science in Electrical & Electronic Engineering, FE
Md Anas Talukder
Bachelor of Science in Electrical & Electronic Engineering, FACULTY OF ENGINEERING
Supervisors
Bishwajit Banik Pathik
Assistant Professor, Faculty, FE

Abstract

This work explores IoT-driven smart agriculture, focusing on sustainable resource management, precision farming, and adaptive security in rural settings. The research aligns with UN SDGs 2 (Zero Hunger), 6 (Clean Water), and 9 (Industry Innovation) by addressing climate resilience, water optimization, and digital inclusion in agrarian communities. The primary goal is to design an integrated IoT framework for smart villages, enabling real-time monitoring of soil, crop, and environmental parameters through LoRaWAN/WSNs. Key objectives include: (1) reducing water usage by 30% via sensor-based irrigation, (2) automating threat detection using adaptive security protocols, and (3) minimizing human intervention through edge computing and PID-controlled actuators. A modular architecture combines LoRaWAN (for long-range, low-power communication) with edge-based decision-making (Node-RED/PID controllers). Environmental (ATMOS 41), plant (FloraPulse), and soil (TEROS 12) sensors transmit data to a cloud/edge platform (InfluxDB/Grafana). Adaptive security frameworks mitigate risks from cyber threats and wildlife intrusions. Hydroponic systems (e.g., GymHydro) are optimized using spectral analysis and PWM-controlled LEDs. Field trials demonstrated 95% data transmission success over 300m in vineyards using LoRaWAN [1], a 25% reduction in irrigation through soil moisture monitoring [1], and an 84% latency drop by shifting from cloud to edge computing for adaptive security [2], while PID-controlled lighting boosted tomato yields by 20% [2]; challenges persist in sensor calibration drift (e.g., BME680 vs. ATMOS41 discrepancies [1]) and energy demands for remote deployments. IoT-enabled smart agriculture enhances sustainability through real-time monitoring and automation, reducing water use by 25% and improving yields by 20%, while challenges like sensor calibration and energy efficiency require further innovation for scalable rural deployment. This approach bridges technology gaps in farming, supporting climate resilience and SDGs through data-driven precision agriculture.

Keywords

Agriculture Smart Villages Internet of Things (IoT) Precision Farming LoRaWAN

Publication Details

  • Type of Publication: Conference 
  • Conference Name: IEEE Computer Society Bangladesh Chapter Summer Symposium 2025
  • Date of Conference: 18/07/2025 - 18/07/2025
  • Venue: Hajee Mohammad Danesh Science & Technology University, Dinajpur
  • Organizer: Hajee Mohammad Danesh Science & Technology University, Dinajpur
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