Nidhi Kundu

Sri Karan Narendra Agriculture University, Jobner — India

Agricultural and Biological Sciences · Life Sciences

6h-index397citations17works1.22yr avg
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Research Topics

Smart Agriculture and AI(8), Spectroscopy and Chemometric Analyses(5), Date Palm Research Studies(4), Plant Disease Management Techniques(3), Cutaneous Melanoma Detection and Management(1)

Publications17 total

Neural Genome Sequence Encoding for Downy Mildew Pathogen Detection: A Spatial Pyramid and Dual-Attention Approach
IEEE Access·2025· 1 citedOpen Access
Impact of Architectural Changes and Hyperparameters Finetuning on the Performance of Convolutional Neural Networks: Case Study Using Covid-19 Dataset
Lecture notes in electrical engineering·2025
Advances in agronomy: The role of geospatial tools in enhancing crop productivity
International Journal of Research in Agronomy·2024Open Access
A Deep Learning Based System for Automatic Sorting and Quality Grading of Citrus Fruits
2024· 4 cited
Ocular Disease Severity Identification and Performance Optimisation using Custom Net Model
Scalable Computing Practice and Experience·2024· 2 citedOpen Access
A Hybrid Model: Random Classification and Feature Selection Approach for Diagnosis of the Parkinson Syndrome
Scalable Computing Practice and Experience·2024Open Access
Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review
Sensors·2023· 48 citedOpen Access
Insights into an Emerging Software Methodology:DevOps
2023
Automatic Segmentation and Classification of Skin Cancer Cells using Thresholding and Deep Learning based Techniques
2023· 1 cited
Leaf Edge Detection Using Machine Learning
2023· 1 cited
Machine Learning based Smart Crop Recommender and Yield Predictor
2022 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS)·2022· 6 cited
Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning
Artificial Intelligence in Agriculture·2022· 81 citedOpen Access
IoT and Interpretable Machine Learning Based Framework for Disease Prediction in Pearl Millet
Sensors·2021· 177 citedOpen Access
Seeds Classification and Quality Testing Using Deep Learning and YOLO v5
2021· 31 cited
A Comparative Analysis of Deep Learning Models Applied for Disease Classification in Bell Pepper
2020· 31 cited
Machine Learning and IoT based Disease Predictor and Alert Generator System
2020· 14 cited
Feasibility Study for Site Suitability by Using Geo-Informatics Technology for Building Warehouse
International Journal of Scientific Engineering and Research·2015Open Access

Frequent Co-authors

Geeta Rani(8), Vijaypal Singh Dhaka(8), Geeta Rani(3), Kalpit Gupta(2), Eugenio Vocaturo(2), Ester Zumpano(2), Vijaypal Singh Dhaka(2), Suman Bhakar(2), Vijay Shankar Sharma(2), S. Chandra Nayak(1), Sahil Verma(1), Muhammad Fazal Ijaz(1), Marcin Woźniak(1), S. Chandra Nayaka(1), Sonam Chhikara(1), Sonam Sonam(1), Parthi Vishnawat(1), Shrey Khandelwal(1), S.P. Srivastava(1), Ankit Misra(1)