# Rajkumar Bhookya

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/rajkumar-bhookya/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2 |
| Field | Smart Agriculture and AI |
| h-index | 1 |
| i10-index | 0 |
| Last Known Institution | International Institute of Information Technology, Hyderabad |
| OpenAlex ID | https://openalex.org/A5120525851 |
| Works | 7 |

## Researcher papers

- [Deep Learning–Based Detection and Analysis of Pulmonary Tuberculosis Using Structured Clinical Data for Enhanced Diagnostic Accuracy](https://scholariq.org/papers/deep-learning-based-detection-and-analysis-of-pulmonary-tuberculosis-using/)
- [Location-Supported Lesions Representation with Potato Leaf Blight Disease Detection Using Dual-Head Convolutional Neural Network](https://scholariq.org/papers/location-supported-lesions-representation-with-potato-leaf-blight-disease/)
- [Intelligent Animal Footprint Identification and Classification Strategy based on Learning assisted Digital Image Processing](https://scholariq.org/papers/intelligent-animal-footprint-identification-and-classification-strategy-based-on/)
- [Efficient Cost Evaluation and Hybrid Optimization-Based Heterogeneous Resource Allocation in Cloud–Edge-IoT Environment](https://scholariq.org/papers/efficient-cost-evaluation-and-hybrid-optimization-based-heterogeneous-resource/)
- [Design of the UNet and Spatial-Time Augmentation Method with Feature Fusion for Soybean Diseases and Yield Prediction](https://scholariq.org/papers/design-of-the-unet-and-spatial-time-augmentation-method-with-feature-fusion-for/)
- [Efficient and Precise Skin Cancer Diagnosis Using Advanced R-MobileNet Deep Neural Network Models with Improved Accuracy and Computational Performance](https://scholariq.org/papers/efficient-and-precise-skin-cancer-diagnosis-using-advanced-r-mobilenet-deep/)
- [Prostate Cancer Detection Using Deep Learning with Clinical-Structural Data Integration in an EfficientNetV2B3 Framework](https://scholariq.org/papers/prostate-cancer-detection-using-deep-learning-with-clinical-structural-data/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Tuberculosis Research and Epidemiology](https://scholariq.org/topics/tuberculosis-research-and-epidemiology/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)

## Researcher university

- [International Institute of Information Technology, Hyderabad](https://scholariq.org/institutions/international-institute-of-information-technology-hyderabad/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.