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 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/. Creator An entity primarily responsible for making the resource Mallick, Shrabani; Suhas, S.; John, Tegil J.; Mallick, Soubhagya Ranjan; Chaudhary, Neha; Tumma, Shyam Sunder; Behera, Aurobinda Title A name given to the resource A hybrid GNNvanilla vision transformer model for IoT-based soil and crop forecasting 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 International Journal of Information Technology (Singapore);Volume;17;Issue;9;pp.5713-5719 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-025-02805-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-025-02805-5</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019655564?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019655564?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 Mallick S., Department of CSE, Dr. B.R Ambekar Institute of Technology Port, Blair, India; Suhas S., Department of Computer Science and Engineering, SJCE, JSS Science and Technology University, Karnataka, Mysore, India; John T.J., Computer Science and Engineering, Christ University, Bangalore, India; Mallick S.R., Symbiosis Institute of Technology, Symbiosis International (Deemed University), Nagpur Campus, Pune, India; Chaudhary N., Research and Development Cell, Swami Vivekanand Subharti University, Uttar Pradesh, Meerut, India; Tumma S.S., Department of MBA, Auroras PG College (MBA), Hyderabad, Ramanthapur, India; Behera A., Department of Vegetable Science, College of Agriculture, Odisha University of Agriculture and Technology (OUAT), Odisha, Bhubaneswar, 751003, India Description An account of the resource In this work, we propose a Graph?Neural Network (GNN) and Vanilla Transformer-based hybrid model for IoT driven soil and crop prediction. Conventional forecasting approaches are unable to model complicated spatial and temporal inter-dependencies and are not?very effective. The given paper solves this problem by using GNNs to learn the spatial relationships among the IoT sensor nodes and vanilla transformer model to?learn the temporal dependencies in crop and weather data. Vanilla vision transformer is able to recover missing contextual information during training. It is trained on data from IoT sensors that monitor soil moisture, temperature, humidity and a variety of other environmental factors as?well as historical crop yield and weather related information. The hybrid model can enable the real-time accurate prediction for crop?yield production and soil health status, which enables a smarter agriculture decision. The experimental results show that the proposed work achieves the lowest root mean square error (RMSE 2.1) and the highest crop accuracy (92%) for?short-term and long-term forecasts. Bharati Vidyapeeth's Institute of Computer Applications and Management 2025. Subject The topic of the resource Crop yield prediction; GNN; IoT-based forecasting; Precision agriculture; Spatial-temporal modeling; Vanilla vision transformer Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Relation A related resource ISSN: 25112104; Language A language of the resource English Type The nature or genre of the resource Article 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