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 Monika, M.; Kumar, Arun; Kelwade, Kamlesh; John, Tegil J; Krishna Prasad, S.; Nerlekar, Tanaya Title A name given to the resource Hybrid Bidirectional GRU Approach for Crop Yield Prediction and Climate Change Impact Assessment in Agriculture 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 Proceedings of 8th International Conference on Computing Methodologies and Communication, ICCMC 2025;pp.1458-1463 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCMC65190.2025.11140711" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCMC65190.2025.11140711</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105016903358?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016903358?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 Monika M., Cambridge Institute of Technology, Department of Mca, Karnataka, Bangalore, India; Kumar A., Medicaps University, Department of Computer Science and Engineering, Madhya Pradesh, Indore, India; Kelwade K., Anjuman College of Engineering and Technology, Department of Computer Science and Engineering, Maharashtra, Nagpur, India; John T.J., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Krishna Prasad S., Nitte (Deemed to Be University), Nmam Institute of Technology, Nitte, Department of Mechanical Engineering, Udupi, India; Nerlekar T., Dr. D. Y. Patil Institute of Technology, Department of Civil Engineering, Pimpri, Maharashtra, Pune, India Description An account of the resource The impacts of climate change induced by humans will be felt most acutely by the agriculture sector due to its extreme dependence on weather. To ensure a steady supply of food, it is necessary to study and anticipate the effects of climate change on agricultural output. The impact of climate change on agricultural yield predictions is examined in this study using a novel methodology. In the proposed model, preprocessing, feature extraction, and training are the main processes. Data pretreatment guarantees quality by cleaning and normalising the data, while the PCC is utilised for feature selection. The model utilises AM and BiGRU for usage with large datasets. Using word vectors, the word embedding layer improves contextual awareness. Experiment findings show that the model is accurate to within 98.31% and can withstand a wide range of climate conditions. Current state-of-the-art methods are vastly outperformed by it, with performance measures like as R2 = 0.921%, MAE = 0.127%, and RMSE = 0.158%. These findings show that agricultural strategists and lawmakers can use AM-BiGRU to assess the effects of climate change and build a more resilient food system. 2025 IEEE. Subject The topic of the resource Analysis of Variance (ANOVA); Crop Yield (CY); Pearson Correlation Coefficient (PCC); Pesticides Tonnes (PT); Rain Fall (RF) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833151211-8; 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