# Chiranjit Pal

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/chiranjit-pal/

## Facts

| Field | Value |
| --- | --- |
| Citations | 58 |
| Field | Smart Agriculture and AI |
| h-index | 4 |
| i10-index | 1 |
| Last Known Institution | Guru Gobind Singh Indraprastha University |
| OpenAlex ID | https://openalex.org/A5047625251 |
| ORCID iD | 0000-0002-6852-9272 |
| Works | 12 |

## Researcher papers

- [A lightweight and explainable CNN model for empowering plant disease diagnosis](https://scholariq.org/papers/a-lightweight-and-explainable-cnn-model-for-empowering-plant-disease-diagnosis/)
- [Robust Deep Convolutional Solutions for Identifying Biotic Crop Stress in Wild Environments](https://scholariq.org/papers/robust-deep-convolutional-solutions-for-identifying-biotic-crop-stress-in-wild/)
- [Knowledge-Based System Architecture on CBR for Detection of Cholera Disease](https://scholariq.org/papers/knowledge-based-system-architecture-on-cbr-for-detection-of-cholera-disease/)
- [An Offline Biotic Stress Recognition Tool for Rice Plants Through Domain Shift](https://scholariq.org/papers/an-offline-biotic-stress-recognition-tool-for-rice-plants-through-domain-shift/)
- [Automatic Rice Crop Extraction using Edge based Color Features and Color Indices](https://scholariq.org/papers/automatic-rice-crop-extraction-using-edge-based-color-features-and-color-indices/)
- [Lightweight Deep Learning Approach for Monitoring Plant Stress Caused by Nitrogen Deficiency](https://scholariq.org/papers/lightweight-deep-learning-approach-for-monitoring-plant-stress-caused-by/)
- [PestReKNet-X: integrating explainable artificial intelligence to enhance pest disease detection and combat crop senescence](https://scholariq.org/papers/pestreknet-x-integrating-explainable-artificial-intelligence-to-enhance-pest/)
- [Comparative Study on Various CNNs for Classification and Identification of Biotic Stress of Paddy Leaf](https://scholariq.org/papers/comparative-study-on-various-cnns-for-classification-and-identification-of/)
- [Leveraging Autoencoders for Accurate Plant Disease Diagnosis in the Face of Unbalanced Data](https://scholariq.org/papers/leveraging-autoencoders-for-accurate-plant-disease-diagnosis-in-the-face-of/)
- [A Web-Deployable Deep Convolutional Model for Rice Disease Classification with Crop Segmentation Approach](https://scholariq.org/papers/a-web-deployable-deep-convolutional-model-for-rice-disease-classification-with/)

## 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/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)

## Researcher university

- [Guru Gobind Singh Indraprastha University](https://scholariq.org/institutions/guru-gobind-singh-indraprastha-university/)

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