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 Punitha, A.; Jayamangala, S.; Joel Josephson, P.; Bharathi, K.; Sindhu, V.; Singh, Kamlesh Title A name given to the resource Crop Disease and Pest Management in Agriculture via UAV Remote Sensing and Advanced Machine Learning Models 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 3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICACS65178.2025.10968470" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICACS65178.2025.10968470</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004741365?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004741365?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 Punitha A., Chettinad College of Engineering and Technology, Department of Computer Science and Engineering, Karur, India; Jayamangala S., Santhiram Engineering College Nandyal, Department of Electronics and Communication Engineering, Nandyal, India; Joel Josephson P., Malla Reddy Engineering College, Department of Electronics and Communication Engineering, Dhulapally, Medchal, India; Bharathi K., Erode Sengunthar Engineering College, Department of Agricultural Engineering, Erode, India; Sindhu V., Christ University, Department of Computer Science, Bangalore, India; Singh K., School of Management Sciences, Department of Mechanical Engineering, Uttar Pradesh, India Description An account of the resource Pests and diseases greatly reduce crop quality and yield; therefore, IA relies on effective pest and disease control. UAVs have become a crucial remote sensing (RS) tool for agricultural process monitoring and management. This study will examine major advances in this field using bibliometric methodologies including author co-occurrence and keyword co-contribution studies. The suggested technique involves preprocessing, feature extraction, and model training. Data quality improves with preprocessing. UAV images are used for feature extraction, focusing on canopy structure and height. PPO is trained the prediction model. Compared to ultramodern GANs and LSTM networks, the recommended model wins. The model consistently outperforms competitors with 91.17 percent accuracy. The study suggests employing UAVs in smart farming to reduce pests and diseases. The suggested model's accuracy and reliability improve crop quality and production by solving agricultural monitoring and management problems. 2025 IEEE. Subject The topic of the resource crop diseases and pests; proximal policy optimization (PPO); remote sensing (RS) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150845-6; 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