Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Soil classification using active contour model for efficient texture feature extraction Subject The topic of the resource Active contour model; Color features; Fourier transforms; Soil classification; Texture features Description An account of the resource Precision farming is a systematic approach in agriculture that aims in improving economic and environment status of the farmers. It is achieved by having prior knowledge on soil texture, nutrient, pH and other climatic conditions. Hence this paper proposes a soil classification for crop prediction approach that uses an active contour algorithm for band estimation in Fourier domain for efficient texture feature extraction. This approach initially segments the soil sample and extracts into the color and texture features. The approach proposes a texture feature extraction where the image is initially transformed to Fourier domain of a 2D-discrete Fourier transform. The image in the Fourier domain is classified into high and low-frequency bands. The cut off frequency is decided by final contour of active contour method, where initial circular contour is used for estimating final contours on Fourier coefficients. This leads to the estimation of an irregular-shaped cut off frequency along with the 2D Fourier coefficients, instead of using a circular-shaped cut off frequency. A local binary pattern (LBP) from the high-frequency band image extracts texture feature. The extracted texture and color features are trained using a fully connected network. Active contour-based proposed model was evaluated by metrics F1-score, accuracy, specificity, sensitivity, and precision on soil datasets of Kaggle and IRSID. The accuracy, F1-score, specificity, precision, and sensitivity of proposed approach active contour-based were estimated as 97.89%, 97.87%, 99.46%, 98.11 and 97.94% respectively when evaluated in the Kaggle dataset. The evaluation results of proposed active contour model based soil classification outperform other traditional approaches. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management. Creator An entity primarily responsible for making the resource Sharmila G.; Rajamohan K. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore), Vol-15, No. 7, pp. 3791-3805. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-023-01404-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-023-01404-6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168137188&amp;doi=10.1007%2Fs41870-023-01404-6&amp;partnerID=40&amp;md5=f118ab7aa3c2cfb0b55c11eaa2983c7e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168137188&amp;doi=10.1007%2fs41870-023-01404-6&amp;partnerID=40&amp;md5=f118ab7aa3c2cfb0b55c11eaa2983c7e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 | CS; 2023-2024; Vol-1; 00215-00220 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharmila G., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Rajamohan K., Department of Computer Science, CHRIST (Deemed to be University), Karnataka, Bengaluru, India