Cotton Crops Vegetative Indices Based Assessment Using Multispectral Images

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Based Assessment Using Multispectral Images</title> <meta name="description" content="Cotton Crops Vegetative Indices Based Assessment Using Multispectral Images"> <meta name="keywords" content="cotton, condition assessment, KNN algorithm, clustering, MSR5, vegetation indices"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img 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publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Cotton Crops Vegetative Indices Based Assessment Using Multispectral Images</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Shahzad%20Shifa">Muhammad Shahzad Shifa</a>, <a href="https://publications.waset.org/abstracts/search?q=Amna%20Shifa"> Amna Shifa</a>, <a href="https://publications.waset.org/abstracts/search?q=Muhammad%20Omar"> Muhammad Omar</a>, <a href="https://publications.waset.org/abstracts/search?q=Aamir%20Shahzad"> Aamir Shahzad</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahmat%20Ali%20Khan"> Rahmat Ali Khan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Many applications of remote sensing to vegetation and crop response depend on spectral properties of individual leaves and plants. Vegetation indices are usually determined to estimate crop biophysical parameters like crop canopies and crop leaf area indices with the help of remote sensing. Cotton crops assessment is performed with the help of vegetative indices. Remotely sensed images from an optical multispectral radiometer MSR5 are used in this study. The interpretation is based on the fact that different materials reflect and absorb light differently at different wavelengths. Non-normalized and normalized forms of these datasets are analyzed using two complementary data mining algorithms; K-means and K-nearest neighbor (KNN). Our analysis shows that the use of normalized reflectance data and vegetative indices are suitable for an automated assessment and decision making. <iframe src="https://publications.waset.org/abstracts/103787.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cotton" title="cotton">cotton</a>, <a href="https://publications.waset.org/abstracts/search?q=condition%20assessment" title=" condition assessment"> condition assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=KNN%20algorithm" title=" KNN algorithm"> KNN algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=MSR5" title=" MSR5"> MSR5</a>, <a href="https://publications.waset.org/abstracts/search?q=vegetation%20indices" title=" vegetation indices"> vegetation indices</a> </p> <a href="https://publications.waset.org/abstracts/103787/cotton-crops-vegetative-indices-based-assessment-using-multispectral-images" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103787.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">333</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> 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Cotton Crops Vegetative Indices Based Assessment Using Multispectral Images