# Halıt Çetıner

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/hal-t-cet-ner/

## Facts

| Field | Value |
| --- | --- |
| Citations | 366 |
| Field | Smart Agriculture and AI |
| h-index | 9 |
| i10-index | 7 |
| Last Known Institution | Isparta University of Applied Sciences |
| OpenAlex ID | https://openalex.org/A5046564842 |
| ORCID iD | 0000-0001-7794-2555 |
| Works | 43 |

## Researcher papers

- [Citrus disease detection and classification using based on convolution deep neural network](https://scholariq.org/papers/citrus-disease-detection-and-classification-using-based-on-convolution-deep/)
- [ResUNet+: A New Convolutional and Attention Block-Based Approach for Brain Tumor Segmentation](https://scholariq.org/papers/resunet-a-new-convolutional-and-attention-block-based-approach-for-brain-tumor/)
- [DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation](https://scholariq.org/papers/denseunet-a-novel-hybrid-segmentation-approach-based-on-multi-modality-images/)
- [Classification of Knot Defect Types Using Wavelets and KNN](https://scholariq.org/papers/classification-of-knot-defect-types-using-wavelets-and-knn/)
- [Cataract disease classification from fundus images with transfer learning based deep learning model on two ocular disease datasets](https://scholariq.org/papers/cataract-disease-classification-from-fundus-images-with-transfer-learning-based/)
- [RECURRENT NEURAL NETWORK BASED MODEL DEVELOPMENT FOR WHEAT YIELD FORECASTING](https://scholariq.org/papers/recurrent-neural-network-based-model-development-for-wheat-yield-forecasting/)
- [Classification of Cataract Disease with a DenseNet201 Based Deep Learning Model](https://scholariq.org/papers/classification-of-cataract-disease-with-a-densenet201-based-deep-learning-model/)
- [CLASSIFICATION OF APPLE LEAF DISEASES USING THE PROPOSED CONVOLUTION NEURAL NETWORK APPROACH](https://scholariq.org/papers/classification-of-apple-leaf-diseases-using-the-proposed-convolution-neural/)
- [Classification of Poisonous and Edible Mushrooms with Optimized Classification Algorithms](https://scholariq.org/papers/classification-of-poisonous-and-edible-mushrooms-with-optimized-classification/)
- [MULTI-LABEL TEXT ANALYSIS WITH A CNN AND LSTM BASED HYBRID DEEP LEARNING MODEL](https://scholariq.org/papers/multi-label-text-analysis-with-a-cnn-and-lstm-based-hybrid-deep-learning-model/)
- [ABC+CNN-SH: Detection of peruvian coffea leaf diseases with a new hybrid classification algorithm based on ABC optimization and CNN](https://scholariq.org/papers/abc-cnn-sh-detection-of-peruvian-coffea-leaf-diseases-with-a-new-hybrid/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Digital Imaging for Blood Diseases](https://scholariq.org/topics/digital-imaging-for-blood-diseases/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

## Researcher university

- [Isparta University of Applied Sciences](https://scholariq.org/institutions/isparta-university-of-applied-sciences/)

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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.