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 Faculty Publications Conference Paper Faculty Publications- Conference Papers 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/. Creator An entity primarily responsible for making the resource Thaiyalnayaki, S.; Sambandam, Rakoth Kandan; Vetriveeran, Divya; Jenefa, J.; Kalaiarasi, G. Title A name given to the resource Leaf Disease Analysis and Crop Suggestion Based on Soil Classification Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies;Volume;114 SIST;pp.193-205 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-4718-7_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4718-7_17</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014492448?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014492448?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Thaiyalnayaki S., Department of Computer Science and Engineering, School of Computing, Bharath Institute of Higher Education and Research (Deemed to Be University), Tamil Nadu, Chennai, India; Sambandam R.K., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Vetriveeran D., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Jenefa J., Department of Computer Science and Engineering, Christ University, Karnataka, Bengaluru, India; Kalaiarasi G., Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology (Deemed to Be University), Tamil Nadu, Chennai, India Description An account of the resource Agriculture is a major contributor to the Indian financial system. As we realize approximately 60% of the population of Indiansrely on agriculture. Nowadays among the farmers who are educated, people also do agriculture. Farmers are dealing with problems related to low earningsbecause of loss of productivity. Farmers are thinking in the event that they use extra fertilizers they may get a precise yield, but it can grow the greater funding. If they do like this the bodily properties of soil may additionally decrease, and they are able to get the expected yield. To conquer this trouble, farmers have to realize which crop might healthy the specific piece of land. If they pick out the right sort of crop that is cultivated then robotically, the yield of the crop will grow. Hence, crop advice systems can be very beneficial to farmers. The yield of the crop can also depend on many factors like pH, nitrogen, phosphorus, potassium, and rainfall. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Churn prediction; Feature selection; Interpretability analysis; Sampling Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21903018; ISBN: 978-981964717-0; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online