Chander Prabha
Papers
2
Total Citations
27
H-Index
2
About
Chander Prabha is a forward-looking researcher at the intersection of precision agriculture and medical AI, whose work demonstrates how deep learning can transform both food production and healthcare. Her most-cited paper, “Enabling Technologies in Smart Agriculture: A Way Forward Towards Future Fields” (2023, 18 citations), establishes her as a key voice in the smart farming revolution, synthesizing how IoT, sensors, and data analytics are turning traditional agriculture into a precise, resource-efficient industry. In parallel, her work “Accuracy Enhancement in Detecting Pituitary Tumors Using Deep Learning” (2023, 9 citations) showcases her technical skill in applying the EfficientNet-B0 architecture to improve the robotic identification of pituitary tumors from MRI scans, directly addressing a critical need for faster, more reliable diagnosis. By bridging agri-tech and biomedical imaging, Prabha exemplifies how transferable deep learning techniques can solve diverse real-world problems. Her growing citation record and dual-domain expertise mark her as a versatile innovator whose contributions are helping to shape the future of both sustainable farming and precision medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2Accuracy Enhancement in Detecting Pituitary Tumors Using Deep Learning9 citations · 2023