Geeta Rani

Geeta Rani is a researcher actively contributing to the intersection of Computer Science and Agricultural Technology, with recent publications in plant disease detection, IoT-based smart farming, and medical imaging applications. She collaborates with researchers like V. Dhaka, Nidhi Kundu, and M. Woźniak.

• Key Research Areas: Deep Learning, Plant Disease Classification, IoT Frameworks, Agricultural AI, Medical Imaging, Neural Networks

Her work includes a 2023 focused review on IoT and Deep Learning for plant disease monitoring, highlighting research gaps and model performance comparisons. In 2022, she contributed to disease severity prediction in maize, achieving significant citation impact.

Earlier projects (2021-2019) involved developing frameworks for pearl millet disease prediction, comparative studies of CNN models for plant diseases, and AI-based irrigation systems. She also explored medical image transformation using GANs (2020) and diabetes prediction via neural networks.