Sujatha Krishna

University Of Information Technology

Papers

1

Total Citations

1

H-Index

1

About

Dr. Sujatha Krishna is a pioneering researcher at the intersection of artificial intelligence and sustainable agriculture, with a primary focus on precision weed management and neuromorphic computing. Her most notable contribution is the development of an AI-driven weed detection and removal system that leverages Vision Transformers and neuromorphic computing architectures, enabling real-time, energy-efficient identification of herbicide-resistant weeds. This groundbreaking work, published in 2025, has already garnered attention for its potential to revolutionize crop cultivation by reducing chemical herbicide use and improving agricultural sustainability. Dr. Krishna’s research addresses one of the most pressing challenges in modern farming: the rapid evolution of herbicide-resistant weed species. By integrating advanced computer vision with brain-inspired computing, she has created a framework that achieves high accuracy in distinguishing crops from weeds under complex field conditions. Her work represents a significant step toward fully autonomous, eco-friendly agro-robotics, and she continues to explore scalable solutions for global food security. With her innovative approach, Dr. Krishna is shaping the future of smart agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Smart Agro-Weed Eradication with AI Driven Weed Detection and Removal Using Vision Transformers and Neuromorphic Computing
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University Of Information Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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