IOT Based Wireless Sensor Network for Real-Time Monitoring and Control of Agricultural Parameters

MS. M. Hema1, a), K. Keerthi Sudha2, b), P. Dinesh2, c), D. Bhanu Prakash2, d), P. Harisankar2, e)
1Assistant Professor, Department of Electronics and Communication Engineering, Annamacharya Institute of
Technology and Sciences, Tirupati, Andhra Pradesh, India -517520.
2B. Tech Students, Department of Electronics and Communication Engineering, Annamacharya Institute of
Technology and Sciences, Tirupati, Andhra Pradesh, India -517520.
b)Corresponding author: kodavalurukeerthi@gmail.com
a) hema.mandyam64@gmail.com
c) dineshpalla582@gmail.com
d) dugganibhanuprakash@gmail.com
e) phariyadav014@gmail.com

ABSTRACT:Agriculture plays a vita role in the economy,and efficient monitoring of agricultural parameter sisessential toim provecrop productivity and resource utilization. Traditional farming methods rely heavily on manual monitoring, which is timeconsuming, labour-intensive, and often inaccurate. To overcome these limitations, this project proposes an IoT-basedWireless Sensor Network (WSN) for real-time monitoring and control of agricultural parameters. In the proposed system,various sensors such as soil moisture, temperature, humidity, and water level sensors are deployed in the agricultural fieldto continuously collect environmental data. The sensor data is transmitted wirelessly to a microcontroller, which processesthe information and sends it to an IoT cloud platform using a Wi-Fi module. Farmers can remotely monitor real-time fieldconditions through a web or mobile application from anywhere at any time. Based on predefined threshold values, thesystem can automatically control agricultural operations such as irrigation, ensuring optimal water usage and reducinghuman intervention. The proposed IoT-based system enhances decision-making, improves crop yield, minimizes waterwastage, and reduces operational costs. This smart agriculture solution provides a reliable, scalable, and cost-effectiveapproach for modern farming practices.Keywords — Control of Agricultural Parameters, Arduino, IoT, Wireless Sensor Network, Real-time Monitoring, SolarPowered Smart Farming, Precision Agriculture