Somya Srivastav
Papers
1
Total Citations
3
H-Index
1
About
Somya Srivastav is a researcher at the forefront of applying artificial intelligence to critical agricultural challenges, with a particular focus on deep learning for plant disease detection. Her most cited work, "Leveraging Deep Learning-based EfficientNet Model for Cassava Leaf Disease Detection" (2024), demonstrates a practical, high-impact approach to a pressing global food security issue. By harnessing the power of the EfficientNet architecture, Srivastav’s research provides a scalable, accurate tool for early diagnosis of cassava diseases—a vital crop for subsistence farmers in India and across the developing world. This work, already garnering early citations, exemplifies her commitment to translating cutting-edge AI into accessible solutions for the agricultural sector. Her contributions are especially significant given the exponential growth in global food demand and the increasing need for technology-driven farming practices. Srivastav’s research not only advances the field of precision agriculture but also directly supports the livelihoods of smallholder farmers, making her a notable voice in the intersection of machine learning and sustainable development.
Research Focus
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Top Papers
- 1