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              <text>Diseased Leaf Identification Using Bag-of-Features and Sigmoidal Spider Monkey Optimization</text>
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              <text>Bag-of-Words; Classification; Clustering; Feature extraction; Optimization; Plant disease identification; Spider monkey optimization</text>
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              <text>Agricultural products decide the economy of a country like India. The agricultural business has the involvement of a large population. The quality and quantity of agricultural products highly depend on environmental conditions and facilities provided to farmers. Timely and efficient detection of diseases in plants and crops is one of the most critical issues that affect crop production. Therefore, it is highly desirable to develop some cheap and easy-to-handle automated plant disease detection systems for the timely treatment of plants. Leaves are considered a primary source of information about the health of plants. In the case of plants, the disease may be easily visualized and identified by observing its effect on leaves. Therefore, this paper introduces a bag-of-features in sigmoidal spider monkey optimization to identify a diseased leaf, separating the diseased leaf from a healthy leaf. The investigational outcomes show the superiority of the anticipated technique in contrast to other meta-heuristic-based systems.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.</text>
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              <text>Kuamri R.; Kumar S.</text>
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              <text>Lecture Notes in Electrical Engineering, Vol-1097 LNEE, pp. 381-389.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-99-7216-6_31" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-99-7216-6_31&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180530129&amp;amp;doi=10.1007%2F978-981-99-7216-6_31&amp;amp;partnerID=40&amp;amp;md5=603aff6cf991ad3d0126eee6c1b4a428" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180530129&amp;amp;doi=10.1007%2f978-981-99-7216-6_31&amp;amp;partnerID=40&amp;amp;md5=603aff6cf991ad3d0126eee6c1b4a428&lt;/a&gt;</text>
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              <text>ISSN: 18761100; ISBN: 978-981997215-9</text>
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              <text>Kuamri R., ICFAI Business School (IBS) Bangalore, Off-Campus Center of ICFAI Foundation for Higher Education (IFHE) University, Bangalore, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India</text>
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