| Rice plant disease classification using transfer learning of deep convolution neural network VK Shrivastava, MK Pradhan, S Minz, MP Thakur The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 231 | 2019 |
| Rice plant disease classification using color features: a machine learning paradigm VK Shrivastava, MK Pradhan Journal of Plant Pathology 103 (1), 17-26, 2021 | 203 | 2021 |
| Change detection in remote sensing image data comparing algebraic and machine learning methods A Goswami, D Sharma, H Mathuku, SMP Gangadharan, CS Yadav, ... Electronics 11 (3), 431, 2022 | 152 | 2022 |
| Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery MKP Chandra Shekhar Yadav Electronics, 2022 | 97 | 2022 |
| Application of pre-trained deep convolutional neural networks for rice plant disease classification VK Shrivastava, MK Pradhan, MP Thakur 2021 international conference on artificial intelligence and smart systems …, 2021 | 58 | 2021 |
| Ricebios: Identification of biotic stress in rice crops using edge-as-a-service P Joshi, D Das, V Udutalapally, MK Pradhan, S Misra IEEE Sensors Journal 22 (5), 4616-4624, 2022 | 28 | 2022 |
| Fisher discriminant ratio based multiview active learning for the classification of remote sensing images MK Pradhan, S Minz, VK Shrivastava 2018 4th International Conference on Recent Advances in Information …, 2018 | 12 | 2018 |
| A kernel-based extreme learning machine framework for classification of hyperspectral images using active learning MK Pradhan, S Minz, VK Shrivastava Journal of the Indian Society of Remote Sensing 47, 1693-1705, 2019 | 10 | 2019 |
| Fast active learning for hyperspectral image classification using extreme learning machine MK Pradhan, S Minz, VK Shrivastava IET Image Processing 13 (4), 549-555, 2019 | 9 | 2019 |
| Effect of tillage and nitrogen on growth and yield of pearl millet under rainfed conditions. BL Sinha, SK Chauhan, MK Pradhan | 8 | 2011 |
| Internal nutrient supply capacity of vertisols for rice in Chhattisgarh agro-climatic conditions of India T Chowdhury, GP Ayam, SB Gupta, GK Das, MK Pradhan Bangladesh J. Agril. Res 32, 501-507, 2007 | 6 | 2007 |
| Deep convolutional neural network based diagnosis of COVID-19 using x-ray images VK Shrivastava, MK Pradhan Modelling and Analysis of Active Biopotential Signals in Health Care 2, 2020 | 5 | 2020 |
| Hyperspectral remote sensing image classification using active learning VK Shrivastava, MK Pradhan Machine Learning Algorithms for Industrial Applications, 133-152, 2021 | 4 | 2021 |
| Sonajharia Minz, Mahesh P. Thakur, †œRice plant disease classification using transfer learning of deep convolution neural networkâ€, The International Archives of the … VK Shrivastava, MK Pradhan Remote Sensing and Spatial Information Sciences 42, 2019 | 4 | 2019 |
| Entropy query by bagging-based active learning approach in the extreme learning machine framework for hyperspectral image classification MK Pradhan, S Minz, VK Shrivastava Current Science 119 (6), 934-943, 2020 | 3 | 2020 |
| Diagnosis of COVID-19 based on chest X-ray images using pre-trained deep convolutional neural networks VK Shrivastava, MK Pradhan Intelligent Decision Technologies 16 (1), 169-180, 2022 | 2 | 2022 |
| Rainfall probability analysis for crop planning in Raipur region of Chhattisgarh plain BL Sinha, SMK Pradhan Journal of Pharmacognosy and Phytochemistry 7 (5), 2207-2211, 2018 | 2 | 2018 |
| Cyber Extension for Rural Development R Sweta, MK Pradhan, J Sinha International Journal of Research in Agricultural Sciences 5 (4), 2018 | 1 | 2018 |
| Utilization of external PIGE and INAA methods for the radio-purity analysis of rock samples relevant for nuclear astrophysics S Gupta, PV Mestry, R Acharya, N Gamre, SV Thakare, PC Rout, ... Proceedings of the sixteenth biennial DAE-BRNS symposium on nuclear and …, 2023 | | 2023 |
| To study the physical and engineering properties of vermicompost S Singh, SV Jogdand, RK Naik, VM Victor, MK Pradhan, HL Sonboir | | 2023 |
Dr. Vimal ShrivastavaKalinga Institute of Industrial Technology, Bhubaneswar在 kiit.ac.in 的电子邮件经过验证
