# Amit Prakash Singh

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/amit-prakash-singh/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,348 |
| Field | Smart Agriculture and AI |
| h-index | 19 |
| i10-index | 29 |
| OpenAlex ID | https://openalex.org/A5008002283 |
| ORCID iD | 0000-0002-8675-6903 |
| Works | 104 |

## Researcher papers

- [A novel framework for image-based plant disease detection using hybrid deep learning approach](https://scholariq.org/papers/a-novel-framework-for-image-based-plant-disease-detection-using-hybrid-deep/)
- [Application of convolutional neural networks for evaluation of disease severity in tomato plant](https://scholariq.org/papers/application-of-convolutional-neural-networks-for-evaluation-of-disease-severity/)
- [Estimation of Air Pollution in Delhi Using Machine Learning Techniques](https://scholariq.org/papers/estimation-of-air-pollution-in-delhi-using-machine-learning-techniques/)
- [Classification of Beans Leaf Diseases using Fine Tuned CNN Model](https://scholariq.org/papers/classification-of-beans-leaf-diseases-using-fine-tuned-cnn-model/)
- [Extractive text summarization using deep learning approach](https://scholariq.org/papers/extractive-text-summarization-using-deep-learning-approach/)
- [A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review](https://scholariq.org/papers/a-systematic-analysis-of-machine-learning-and-deep-learning-based-approaches-for/)
- [Application of extreme learning machine in plant disease prediction for highly imbalanced dataset](https://scholariq.org/papers/application-of-extreme-learning-machine-in-plant-disease-prediction-for-highly/)
- [Prediction Models for Identification and Diagnosis of Tomato Plant Diseases](https://scholariq.org/papers/prediction-models-for-identification-and-diagnosis-of-tomato-plant-diseases/)
- [Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant](https://scholariq.org/papers/hybrid-svm-lr-classifier-for-powdery-mildew-disease-prediction-in-tomato-plant/)
- [GraphFormers: GNN-nested Transformers for Representation Learning on\n Textual Graph](https://scholariq.org/papers/graphformers-gnn-nested-transformers-for-representation-learning-on-n-textual/)
- [Plant Foliage Disease Diagnosis Using Light-Weight Efficient Sequential CNN Model](https://scholariq.org/papers/plant-foliage-disease-diagnosis-using-light-weight-efficient-sequential-cnn/)

## 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/)
- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

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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.