# Purushottam Das

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/purushottam-das/

## Facts

| Field | Value |
| --- | --- |
| Citations | 155 |
| Field | Smart Agriculture and AI |
| h-index | 6 |
| i10-index | 4 |
| Last Known Institution | Graphic Era University |
| OpenAlex ID | https://openalex.org/A5103720044 |
| ORCID iD | 0000-0001-8302-5489 |
| Works | 75 |

## Researcher papers

- [A Study on Liver Disease Using Different Machine Learning Algorithms](https://scholariq.org/papers/a-study-on-liver-disease-using-different-machine-learning-algorithms/)
- [Dissecting Parsley Leaf Disease Severity: A Federated Learning and CNN Perspective](https://scholariq.org/papers/dissecting-parsley-leaf-disease-severity-a-federated-learning-and-cnn/)
- [A filter based genetic algorithm and neural network technique for Image Classification](https://scholariq.org/papers/a-filter-based-genetic-algorithm-and-neural-network-technique-for-image/)
- [Wheat Disease Severity Assessment Using Federated Learning CNNs for Agriculture Transformation](https://scholariq.org/papers/wheat-disease-severity-assessment-using-federated-learning-cnns-for-agriculture/)
- [Effectiveness of Digital Marketing to Protect Customer's Through Artificial Intelligence](https://scholariq.org/papers/effectiveness-of-digital-marketing-to-protect-customer-s-through-artificial/)
- [Enhancing Crop Health, A Novel CNN-SVM Hybrid Model for Litchi Disease Detection](https://scholariq.org/papers/enhancing-crop-health-a-novel-cnn-svm-hybrid-model-for-litchi-disease-detection/)
- [A Review on Feature Selection Approaches and Few Prominent Research Gaps for Image Classification](https://scholariq.org/papers/a-review-on-feature-selection-approaches-and-few-prominent-research-gaps-for/)
- [Towards Precision Agriculture: A Unified CNN and Random Forest Framework for Jasmine Leaf Disease Recognition](https://scholariq.org/papers/towards-precision-agriculture-a-unified-cnn-and-random-forest-framework-for/)
- [Enhancing Precision in Papaya Crop Health Management: A CNN-Based Approach for Early Disease Detection and Classification](https://scholariq.org/papers/enhancing-precision-in-papaya-crop-health-management-a-cnn-based-approach-for/)
- [Empowering Rice Farmers: Automated Multi-Classification of Rice Diseases using YOLOv5](https://scholariq.org/papers/empowering-rice-farmers-automated-multi-classification-of-rice-diseases-using/)
- [Synergistic Models for Marigold Leaf Disease Recognition: A Fusion of CNN and Random Forest Frameworks](https://scholariq.org/papers/synergistic-models-for-marigold-leaf-disease-recognition-a-fusion-of-cnn-and/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Crystallization and Solubility Studies](https://scholariq.org/topics/crystallization-and-solubility-studies/)
- [X-ray Diffraction in Crystallography](https://scholariq.org/topics/x-ray-diffraction-in-crystallography/)
- [Face and Expression Recognition](https://scholariq.org/topics/face-and-expression-recognition/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Researcher university

- [Graphic Era University](https://scholariq.org/institutions/graphic-era-university/)

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