Jyoti A. Dhanke
Papers
2
Total Citations
22
H-Index
2
About
Dr. Jyoti A. Dhanke is a pioneering researcher at the intersection of sustainable agriculture and advanced computational technologies. Her work focuses on leveraging big data analytics, artificial intelligence, and deep learning to revolutionize crop yield optimization and smart farming practices. Dr. Dhanke’s most influential contribution, "Optimization of Crop Yields in Sustainable Agriculture: Application of Big Data Analytics and Artificial Intelligence" (2025, 17 citations), demonstrates how AI-driven models can enhance agricultural productivity while maintaining environmental sustainability. Her subsequent study, "Climatic Condition–Based Comparative Study of Deep Learning Models for Yield Forecasting in Smart Agriculture" (2025, 5 citations), provides critical insights into how varying climatic conditions affect the accuracy of predictive models, offering practical guidance for farmers and agritech developers. By integrating real-time climatic data with machine learning algorithms, Dr. Dhanke’s research addresses pressing global challenges in food security and climate adaptation. Her work is particularly notable for bridging the gap between theoretical AI frameworks and actionable agricultural solutions, making her a key voice in the emerging field of precision agriculture. With her innovative approach, Dr. Dhanke continues to shape the future of data-driven farming.
Research Focus
Key Achievements
Top Papers
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