| Transfer learning-based framework for classification of pest in tomato plants G Pattnaik, VK Shrivastava, K Parvathi Applied Artificial Intelligence 34 (13), 981-993, 2020 | 80 | 2020 |
| Automatic detection and classification of tomato pests using support vector machine based on HOG and LBP feature extraction technique G Pattnaik, K Parvathi Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2021 | 17 | 2021 |
| Machine learning-based approaches for tomato pest classification G Pattnaik, K Parvathy TELKOMNIKA (Telecommunication Computing Electronics and Control) 20 (2), 321-328, 2022 | 16 | 2022 |
| A review on advanced techniques on plant pest detection and classification G Pattnaik, K Parvathi Smart Intelligent Computing and Applications: Proceedings of the Third …, 2020 | 6 | 2020 |
| Tomato pest classification using deep convolutional neural network with transfer learning, fine tuning and scratch learning G Pattnaik, VK Shrivastava, K Parvathi Intelligent Decision Technologies 15 (3), 433-442, 2021 | 3 | 2021 |
| System Identification Based on QR-Decomposition J Mehena, L Swain, G Patnaik Int. J. of Intelligent Computing and Applied Sciences, 31-39, 0 | 2 | |
| Performance evaluation of pest detection techniques via image processing in agriculture G Pattnaik, K Parvathi 2018 International Conference on Applied Electromagnetics, Signal Processing …, 2018 | 1 | 2018 |
| Improved performance on tomato pest classification via transfer learning based deep convolutional neural network with regularisation techniques G Pattnaik, V Shrivastava, K Parvathy International Journal of Computational Science and Engineering 1 (1), 01, 2023 | | 2023 |
| Automatic Detection and Classification of Tomato Pest Using Image Processing in Agriculture G Pattnaik Bhubaneswar, 0 | | |
