# C. K. Sunil

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/c-k-sunil/

## Facts

| Field | Value |
| --- | --- |
| Citations | 599 |
| Field | Smart Agriculture and AI |
| h-index | 7 |
| i10-index | 6 |
| Last Known Institution | Institut Technique de l'Aviculture |
| OpenAlex ID | https://openalex.org/A5078428133 |
| Works | 12 |

## Researcher papers

- [Cardamom Plant Disease Detection Approach Using EfficientNetV2](https://scholariq.org/papers/cardamom-plant-disease-detection-approach-using-efficientnetv2/)
- [DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification](https://scholariq.org/papers/dfn-psan-multi-level-deep-information-feature-fusion-extraction-network-for/)
- [Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism](https://scholariq.org/papers/tomato-plant-disease-classification-using-multilevel-feature-fusion-with/)
- [Systematic study on deep learning-based plant disease detection or classification](https://scholariq.org/papers/systematic-study-on-deep-learning-based-plant-disease-detection-or/)
- [Binary class and multi-class plant disease detection using ensemble deep learning-based approach](https://scholariq.org/papers/binary-class-and-multi-class-plant-disease-detection-using-ensemble-deep/)
- [Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection](https://scholariq.org/papers/empirical-study-on-multi-convolutional-layer-based-convolutional-neural-network/)
- [Coffee Plant Disease Identification using Enhanced Short Learning EfficientNetV2](https://scholariq.org/papers/coffee-plant-disease-identification-using-enhanced-short-learning-efficientnetv2/)
- [An Efficient Infectious Disease Detection in Plants Using Deep Learning](https://scholariq.org/papers/an-efficient-infectious-disease-detection-in-plants-using-deep-learning/)
- [Comparative Analysis of Intrusion Detection System using ML and DL Techniques](https://scholariq.org/papers/comparative-analysis-of-intrusion-detection-system-using-ml-and-dl-techniques/)
- [Vehicle Re-identification Using Convolutional Neural Networks](https://scholariq.org/papers/vehicle-re-identification-using-convolutional-neural-networks/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Researcher university

- [Institut Technique de l'Aviculture](https://scholariq.org/institutions/institut-technique-de-l-aviculture/)

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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.