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Dr. Monoj K. Pradhan
Dr. Monoj K. Pradhan
Indira Gandhi Agricultural University, Raipur, India
Verified email at jnu.ac.in
Title
Cited by
Cited by
Year
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
2262019
Rice plant disease classification using color features: a machine learning paradigm
VK Shrivastava, MK Pradhan
Journal of Plant Pathology 103 (1), 17-26, 2021
1882021
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
1402022
Multi-Class Pixel Certainty Active Learning Model for Classification of Land Cover Classes Using Hyperspectral Imagery
MKP Chandra Shekhar Yadav
Electronics, 2022
952022
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
542021
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
272022
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
122018
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
102019
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
92019
Effect of tillage and nitrogen on growth and yield of pearl millet under rainfed conditions.
BL Sinha, SK Chauhan, MK Pradhan
82011
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
62007
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
52020
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
42019
Hyperspectral remote sensing image classification using active learning
VK Shrivastava, MK Pradhan
Machine Learning Algorithms for Industrial Applications, 133-152, 2021
32021
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
32020
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
22022
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
22018
Cyber Extension for Rural Development
R Sweta, MK Pradhan, J Sinha
International Journal of Research in Agricultural Sciences 5 (4), 2018
12018
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
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