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Amit Prakash Singh
Amit Prakash Singh
Guru Gobind Singh Indraprastha University, Delhi
Verified email at ipu.ac.in - Homepage
Title
Cited by
Cited by
Year
Application of convolutional neural networks for evaluation of disease severity in tomato plant
S Verma, A Chug, AP Singh
Journal of Discrete Mathematical Sciences and Cryptography 23 (1), 273-282, 2020
712020
Application of extreme learning machine in plant disease prediction for highly imbalanced dataset
A Bhatia, A Chug, A Prakash Singh
Journal of Statistics and Management Systems 23 (6), 1059-1068, 2020
632020
Estimation of Air Pollution in Delhi Using Machine Learning Techniques
C Srivastava, S Singh, AP Singh
IEEE International Conference on Computing, Power and Communication …, 2018
622018
Prediction Models for Identification and Diagnosis of Tomato Plant Diseases
S Verma, A Chug, AP Singh
2018 International Conference on Advances in Computing, Communications and …, 2018
582018
Exploring capsule networks for disease classification in plants
S Verma, A Chug, AP Singh
Journal of Statistics and Management Systems 23 (2), 307-315, 2020
522020
Deep Learning-Based Mobile Application for Plant Disease Diagnosis: A Proof of Concept With a Case Study on Tomato Plant
S Verma, A Chug, AP Singh, S Sharma, P Rajvanshi
Applications of Image Processing and Soft Computing Systems in Agriculture …, 2019
472019
Recent advancements in multimedia big data computing for IoT applications in precision agriculture: opportunities, issues, and challenges
S Verma, A Bhatia, A Chug, AP Singh
Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and …, 2019
422019
Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant
A Bhatia, A Chug, AP Singh
2020 7th International Conference on Signal Processing and Integrated …, 2020
412020
A novel framework for image-based plant disease detection using hybrid deep learning approach
A Chug, A Bhatia, AP Singh, D Singh
Soft Computing 27 (18), 13613-13638, 2023
352023
A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review
R Kumar, A Chug, AP Singh, D Singh
Journal of Sensors 2022, 2022
332022
Modified K-NN algorithm for classification problems with improved accuracy
SK Sahu, P Kumar, AP Singh
International Journal of Information Technology 10, 65-70, 2018
332018
Classification of Beans Leaf Diseases using Fine Tuned CNN Model
V Singh, A Chug, AP Singh
Procedia Computer Science 218, 348-356, 2023
252023
Impact of hyperparameter tuning on deep learning based estimation of disease severity in grape plant
S Verma, A Chug, AP Singh
Recent Advances on Soft Computing and Data Mining: Proceedings of the Fourth …, 2020
212020
A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop
AP Singh, P Sahu, A Chug, D Singh
IEEE Access 10, 87333-87360, 2022
202022
Dynamic Routing Using Inter Capsule Routing Protocol between Capsules
SK Sahu, P Kumar, AP Singh
2018 UKSim-AMSS 20th International Conference on Computer Modelling and …, 2018
182018
Implementation of CNNs for Crop Diseases Classification: A Comparison of Pre-trained Model and Training from Scratch
P Sahu, A Chug, AP Singh, D Singh, RP Singh
IJCSNS 20 (10), 206, 2020
172020
Comparative study of tools for big data analytics: An analytical study
SK Sahu, MM Jacintha, AP Singh
2017 International Conference on Computing, Communication and Automation …, 2017
172017
Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants
A Bhatia, A Chug, AP Singh
International Journal of Intelligent Engineering Informatics 9 (1), 24-58, 2021
162021
Plant Disease Detection for High Dimensional Imbalanced Dataset using an Enhanced Decision Tree Approach
A Bhatia, A Chug, AP Singh
6th International Conference on Recent Trends in Computer Science and …, 2021
162021
Deep Learning Models for Beans Crop Diseases: Classification and Visualization Techniques
P Sahu, A Chug, AP Singh, D Singh, RP Singh
International Journal of Modern Agriculture 10 (1), 796-812, 2021
152021
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