# Mohit Agarwal

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/mohit-agarwal/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,646 |
| Field | Smart Agriculture and AI |
| h-index | 24 |
| i10-index | 38 |
| Last Known Institution | Bennett University |
| OpenAlex ID | https://openalex.org/A5076746411 |
| ORCID iD | 0000-0001-7216-3886 |
| Works | 101 |

## Researcher papers

- [ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network](https://scholariq.org/papers/toled-tomato-leaf-disease-detection-using-convolution-neural-network/)
- [Development of Efficient CNN model for Tomato crop disease identification](https://scholariq.org/papers/development-of-efficient-cnn-model-for-tomato-crop-disease-identification/)
- [Optimized Dual Fire Attention Network and Medium-Scale Fire Classification Benchmark](https://scholariq.org/papers/optimized-dual-fire-attention-network-and-medium-scale-fire-classification/)
- [Bag-of-Lies: A Multimodal Dataset for Deception Detection](https://scholariq.org/papers/bag-of-lies-a-multimodal-dataset-for-deception-detection/)
- [Data analysis using principal component analysis](https://scholariq.org/papers/data-analysis-using-principal-component-analysis/)
- [An Overview: Security Issue in IoT Network](https://scholariq.org/papers/an-overview-security-issue-in-iot-network/)
- [A new Conv2D model with modified ReLU activation function for identification of disease type and severity in cucumber plant](https://scholariq.org/papers/a-new-conv2d-model-with-modified-relu-activation-function-for-identification-of/)
- [A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort](https://scholariq.org/papers/a-novel-block-imaging-technique-using-nine-artificial-intelligence-models-for/)
- [A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence](https://scholariq.org/papers/a-narrative-review-on-characterization-of-acute-respiratory-distress-syndrome-in/)
- [A Convolution Neural Network based approach to detect the disease in Corn Crop](https://scholariq.org/papers/a-convolution-neural-network-based-approach-to-detect-the-disease-in-corn-crop/)

## 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/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Researcher university

- [Bennett University](https://scholariq.org/institutions/bennett-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.