CP
Chiranjit Pal
Indian Institute of Information Technology Kalyani, National Institute of Technology Durgapur, Kalyani Government Engineering College
Research areas: Computer Science · Computer Vision and Pattern Recognition · Smart Agriculture and AI · Advanced Neural Network Applications · Explainable Artificial Intelligence (XAI)
0000-0002-6852-9272
Employment
Employment history is unavailable.
Education
- 2021 - 2025
- 2011 - 2013
- 2008 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Multiscale Reparameterized Deep Agriculture for Efficient and Interpretable Livestock Verification Save
- CanNet-VCD: A Hybrid Framework integrating Supervised Autoencoders and SVM for Explainable Image-based Decision Support in Canine Disease Diagnosis Save
- Explainable Pruning-Focused Attention Network for High-Fidelity Livestock Facial Detection and Identification Save
- PestReKNet-X: integrating explainable artificial intelligence to enhance pest disease detection and combat crop senescence Save
- A Web-Deployable Deep Convolutional Model for Rice Disease Classification with Crop Segmentation Approach Save
- A lightweight and explainable CNN model for empowering plant disease diagnosis Save
- Development of machine learning models to identify potentially active compounds against tuberculosis Save
- Exploring CNN Model Optimization Strategies for Plant Disease Classification Save
- Lightweight Deep Learning Approach for Monitoring Plant Stress Caused by Nitrogen Deficiency Save
- An Offline Biotic Stress Recognition Tool for Rice Plants Through Domain Shift Save
- Leveraging Autoencoders for Accurate Plant Disease Diagnosis in the Face of Unbalanced Data Save
- Robust Deep Convolutional Solutions for Identifying Biotic Crop Stress in Wild Environments Save
- Comparative Study on Various CNNs for Classification and Identification of Biotic Stress of Paddy Leaf Save
- Comparative Study on Various CNNs for Classification and Identification of Biotic Stress of Paddy Leaf Save
- Automatic Rice Crop Extraction using Edge based Color Features and Color Indices Save
- A custom CNN model for detection of rice disease under complex environment Save
- Interaction of Indenopyridines with [60]-fullerene: A spectroscopic and computational study Save
- Knowledge-Based System Architecture on CBR for Detection of Cholera Disease Save