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 | 60 | 2020 |
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 163, 391-416, 2019 | 41 | 2019 |
Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant A Bhatia, A Chug, AP Singh 7th International Conference on Signal Processing and Integrated Networks …, 2020 | 39 | 2020 |
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, 13613–13638, 2023 | 29 | 2023 |
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 | 16 | 2021 |
Plant Disease Detection for High Dimensional Imbalanced Dataset using an Enhanced Decision Tree Approach A Bhatia, A Chug, AP Singh International Journal of Future Generation Communication and Networking 13 …, 2020 | 14 | 2020 |
A machine learning-based spray prediction model for tomato powdery mildew disease A Bhatia, A Chug, AP Singh, RP Singh, D Singh Indian Phytopathology, 1-6, 2022 | 7 | 2022 |
A Forecasting Technique for Powdery Mildew Disease Prediction in Tomato Plants A Bhatia, A Chug, AP Singh, RP Singh, D Singh Proceedings of Second Doctoral Symposium on Computational Intelligence …, 2022 | 4 | 2022 |
Fractional mega trend diffusion function-based feature extraction for plant disease prediction A Bhatia, A Chug, AP Singh, D Singh International Journal of Machine Learning and Cybernetics 14 (1), 187-212, 2023 | 3 | 2023 |
A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction A Bhatia, A Chug, AP Singh, D Singh Intelligent Data Analysis 26 (4), 1023-1049, 2022 | 3 | 2022 |
Advance shadow edge detection and removal (ASEDR) A Bhatia, J Yadav, E Jain International Journal of Computational Intelligence Research 13 (2), 253-259, 2017 | 2 | 2017 |
Investigate the Impact of Resampling Techniques on Imbalanced Datasets: A Case Study in Plant Disease Prediction A Bhatia, A Chug, AP Singh, D Singh 2021 Thirteenth International Conference on Contemporary Computing (IC3-2021 …, 2021 | 1 | 2021 |
Internet of Things (IOT): Confronts and Applications J Yadav, A Bhatia, Sangeeta, E Jain, N Goyal International Journal for Research in Applied Science & Engineering …, 2017 | 1 | 2017 |
A Deep Learning-Based Forecasting System to Predict Early Blight Disease in Tomato Plants A Bhatia, A Chug, AP Singh, D Singh Management of Postharvest Diseases and Value Addition of Horticultural Crops …, 2022 | | 2022 |
A Multi-Sensor and Image-Based Fusion Framework for Automated Detection of Early Blight Disease in Tomato Plants AP Singh, A Chug, A Bhatia IN Patent App. 202,111,047,712, 2021 | | 2021 |
MFPMT: A Machine Learning-Based Forecasting System for Powdery Mildew Disease in Tomato Plant A Bhatia, A Chug, AP Singh 7th International Conference on Phytopathology in Achieving UN Sustainable …, 2020 | | 2020 |
Spray Prediction Models for Powdery Mildew Disease in Tomato A Bhatia, A Chug, AP Singh 8th Asian-Australasian Conference on Precision Agriculture (8ACPA-2019), 278, 2019 | | 2019 |
Evaluating The Impact of Resampling Techniques for Plant Disease Classification A Bhatia, A Chug, AP Singh International Conference on Knowledge and Policy for Sustainable Development …, 2019 | | 2019 |
Applying Genetic Algorithm on Dynamic Programming Problems Sangeeta, A Bhatia, E Jain International Journal for Research in Applied Science & Engineering …, 2017 | | 2017 |
Shadow Detection and Its Removal from Images Using Advance Strong Edge Detection Method (ASED) A Bhatia, J Yadav, E Jain, Sangeeta International Journal for Research in Applied Science & Engineering …, 2017 | | 2017 |