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		<Title>Design and Implementation of an IoT-Based Autonomous Environment and Nutrition Management System for Precision Dairy Farming</Title>
		<Author>B. Suresh Kumar, B. Bharath Kumar Reddy, K. Yaswanth Kumar Reddy, Dabbugodala Mahesh, Kampa V Balu Mahendra</Author>
		<Volume>03</Volume>
		<Issue>04</Issue>
		<Abstract>This research presents the development of an Internet of Things IoTintegrated automation framework designed to optimize operational efficiency and animal welfare in dairy cattle farms The proposed system utilizes the ESP32 microcontroller as the primary processing and communication gateway to synchronize a network of sensors and actuators Key hardware components include a RealTime Clock RTC for precise task scheduling DHT22 sensors for microclimatic monitoring and an I2C LCD for localized status reporting To mitigate the inconsistencies of manual labor the system automates critical livestock care through motordriven feed trays and controlled irrigation via water pumps Furthermore environmental stability is maintained through automated foggers and DC fans that activate based on realtime atmospheric thresholds Leveraging the ESP32s dualcore architecture and integrated WiFi the system enables seamless data transmission to a webbased dashboard allowing farmers to remotely monitor livestock conditions and configure management parameters Results indicate that this scalable costeffective solution significantly reduces manual intervention minimizes resource waste and ensures a stressfree environment for cattle This intelligent farming model provides a viable technological path for smalltomediumscale dairy enterprises to transition toward precision agriculture</Abstract>
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<copyright-statement>Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved</copyright-statement>
<copyright-year>2026</copyright-year>
</permissions>
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