Sachin Dadu Khandekar
Papers
2
Total Citations
22
H-Index
2
About
Sachin Dadu Khandekar is a leading researcher at the forefront of integrating artificial intelligence and big data analytics into sustainable agriculture. His work centers on developing data-driven solutions to optimize crop yields and enhance agricultural resilience in the face of climate variability. Khandekar’s most influential paper, “Optimization of Crop Yields in Sustainable Agriculture: Application of Big Data Analytics and Artificial Intelligence” (2025), has already garnered 17 citations, underscoring its timely impact on precision farming. In a complementary study, “Climatic Condition–Based Comparative Study of Deep Learning Models for Yield Forecasting in Smart Agriculture” (2025), he systematically evaluates deep learning architectures for yield prediction under varying climatic conditions, providing a robust framework for model selection. His contributions bridge the gap between advanced computational techniques and practical agronomic needs, offering farmers and policymakers actionable insights for resource-efficient crop management. Khandekar’s work is pivotal in advancing smart agriculture, demonstrating how AI can drive sustainable intensification while addressing global food security challenges.
Research Focus
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Top Papers
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