Md. Shohanur Rahman Shohan

Work place: Department of IoT and Robotics Engineering (IRE), Gazipur Digital University, Gazipur-1750, Bangladesh

E-mail: 1801033@iot.bdu.ac.bd

Website: https://orcid.org/0009-0004-1544-3899

Research Interests:

Biography

Md. Shohanur Rahman Shohan is a graduate from Gazipur Digital University., with a BSc. (Engg.) degree in IoT and Robotics Engineering. His research interests include virtual reality (VR), system design, machine learning (ML), IoT and computer vision. He has worked on various projects that integrate these technologies, demonstrating his skills in designing intelligent systems and leveraging AI-driven solutions.

Author Articles
Wireless Sensor Networks in Agriculture: Livestock Monitoring for the Farming Industries

By Atiqur Rahman Md. Shohanur Rahman Shohan Md. Toukir Ahmed

DOI: https://doi.org/10.5815/ijem.2025.04.02, Pub. Date: 8 Aug. 2025

The livestock sector is an essential component of the global economy. Farmers are losing interest in this profession as animals suffer from a variety of bad health conditions, unpredictable fatal illnesses. The temperature and humidity of the farm have a stronger impact on the health of the cattle. Monitoring the health of dairy cattle and the environmental state of farms can assist to tackle these concerns. In this research, we describe a system that allows farmers to monitor livestock health metrics including body temperature as well as environmental data like temperature, humidity, light levels, quality of air, and dampness. The device will automatically maintain optimum environmental conditions for the livestock in addition to monitoring environmental parameters. Our suggested method would assure adequate water supply to the cattle in order to increase milk production supply. Three ESP32 microcontrollers are utilized as clients in this system to sense different health and environmental aspects, and an ESP32 microcontroller is used as a server to wirelessly link the three ESP32 clients. Through a web application, health and environmental factors may be accessed on the internet. It may also be accessed remotely on a mobile phone. This revolution in advanced technological farm automation will help to improve productivity by reducing the need for human intervention. Finally, the proposed solution would assist in boosting productivity while saving the farmer's time and effort.

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