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                <publisherName>ZIBELINE INTERNATIONAL PUBLISHING</publisherName>
                <title type="subject" xml:lang="en" sort="Big Data In Agriculture">Big Data In Agriculture</title>
                <abbrev_title>Big.data.Agr</abbrev_title>
                <issn type="online">2682-7786</issn>
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            <titleGroup>
                <title type="title">DESIGN AND DEVELOPMENT OF AN IOT-BASED SMART POULTRY MANAGEMENT SYSTEM FOR REAL-TIME MONITORING AND CONTROL VIA MOBILE AND WEB APPLICATIONS</title>
            </titleGroup>
            <copyright ownership="publisher">Copyright © 2025 Zibeline International Publishing</copyright>
            <doi origin="zibeline international publishing" registered="yes">http://doi.org/10.26480/bda.01.2026.41.46</doi>
            
            <eventGroup>
                <event type="publication_date" date="20-05-2026" />
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            <creators>    
                <creator xml:id="MA" creatorRole="editor">
                    <personName>
                        <editorNames>Muhammad Aqeel</editorNames>
                    </personName>
                </creator>
				<creator xml:id="SS" creatorRole="editor">
                    <personName>
                        <editorNames>Sami Saeed</editorNames>
                    </personName>
                </creator>
				<creator xml:id="RH" creatorRole="editor">
                    <personName>
                        <editorNames>Rafique Haider</editorNames>
                    </personName>
                </creator>
				<creator xml:id="HS" creatorRole="editor">
                    <personName>
                        <editorNames>Hammad Shahab</editorNames>
                    </personName>
                </creator>
				<creator xml:id="MMW" creatorRole="editor">
                    <personName>
                        <editorNames>Muhammad Mohsin Waqas</editorNames>
                    </personName>
                </creator>
				<creator xml:id="HMS" creatorRole="editor">
                    <personName>
                        <editorNames>Hussain Mahmood Sargana</editorNames>
                    </personName>
                </creator>
            </creators>
            
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        <citation_keywords>
            <keyword>IoT, Smart Poultry Management, Automated Control, Mobile App</keyword>
        </citation_keywords>
        <citation_pdfformat>
            <pdf_url>https://bigdatainagriculture.com/paper/issue12026/1bda2026-41-46.pdf</pdf_url>
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            <xml_url>https://bigdatainagriculture.com/xml/issue12026/1bda2026-41-46.xml</xml_url>
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        <citation_volume>
            <volume>8</volume>
        </citation_volume>
        <citation_issue>
            <issue>1</issue>
        </citation_issue>
        <citation_pages>
            <pages>41-46</pages>
        </citation_pages>
        
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            <fulltext_html>https://bigdatainagriculture.com/bda-01-2026-41-46/</fulltext_html>
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            <abstract type="main" xml:lang="en">
                <title type="main">Summary</title>
                <p>In recent years, monitoring, maintenance, and control of environmental parameters through the Internet of Things (IoT) have emerged as significant research areas in smart farming. This study presents the design and development of an IoT-based Smart Poultry Management System for real-time monitoring and control of critical environmental factors within poultry farms. Key parameters such as temperature, humidity, and moisture are continuously measured using integrated sensors. A NodeMCU microcontroller is employed to collect data from the temperature, humidity, and moisture sensors and transmit it to a base station via Wi-Fi connectivity. An Android and web-based platform was developed to provide real-time visualization of environmental data through a user-friendly dashboard. The system not only displays temperature, humidity, and moisture levels but also enables remote control of environmental conditions to maintain optimal poultry farm settings. The proposed solution demonstrates how loT integrates physical devices and sensors, communication infrastructure, and data analytics applications to create an efficient, automated, and intelligent poultry management ecosystem.</p>
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