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Dr. Utpal Barman
Dr. Utpal Barman
Assam down town University
在 adtu.in 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Soil texture classification using multi class support vector machine
U Barman, RD Choudhury
Information processing in agriculture 7 (2), 318-332, 2020
1422020
Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease
U Barman, RD Choudhury, D Sahu, GG Barman
Computers and Electronics in Agriculture 177, 105661, 2020
1192020
Comparative assessment of deep learning to detect the leaf diseases of potato based on data augmentation
U Barman, D Sahu, GG Barman, J Das
2020 International Conference on Computational Performance Evaluation (ComPE …, 2020
502020
Smartphone image based digital chlorophyll meter to estimate the value of citrus leaves chlorophyll using Linear Regression, LMBP-ANN and SCGBP-ANN
U Barman, RD Choudhury
Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022
452022
Predication of soil pH using HSI colour image processing and regression over Guwahati, Assam, India
U Barman, RD Choudhury, N Talukdar, P Deka, I Kalita, N Rahman
Journal of Applied and Natural Science 10 (2), 805-809, 2018
242018
Smartphone assist deep neural network to detect the citrus diseases in agri-informatics
U Barman, RD Choudhury
Global Transitions Proceedings 3 (2), 392-398, 2022
212022
Prediction of soil pH using smartphone based digital image processing and prediction algorithm
U Barman, RD Choudhury
Journal of Mechanics of Continua And Mathematical Sciences 14, 226-249, 2019
152019
Estimation of chlorophyll using image processing
U Barman, RD Choudhury, A Saud, S Dey, MB Pratim, BG Gunjan
Int J Recent Sci Res 9 (3), 24850-24853, 2018
142018
Predication of soil pH using K mean segmentation and HSV color image processing
U Barman, RD Choudhury, I Uddin
2019 6th International conference on computing for sustainable global …, 2019
102019
Comparative assessment of Pest damage identification of coconut plant using damage texture and color analysis
U Barman, C Pathak, NK Mazumder
Multimedia Tools and Applications 82 (16), 25083-25105, 2023
82023
Deep Convolutional neural network (CNN) in tea leaf chlorophyll estimation: A new direction of modern tea farming in Assam, India
U Barman
Journal of Applied and Natural Science 13 (3), 1059-1064, 2021
72021
Comparative assessment of AR, MA and ARMA for the time series forecasting of Assam and Meghalaya rainfall division
U Barman, RD Choudhury, AE Hussain, MJ Dahal, P Barman, M Hazarika
2020 International Conference on Computational Performance Evaluation (ComPE …, 2020
72020
Bacterial and virus affected citrus leaf disease classification using smartphone and SVM
U Barman, RD Choudhury
Bact. Virus Affect. Citrus Leaf Dis. Classif. Using Smartphone SVM 8, 4220-4226, 2019
72019
Time series analysis of assam rainfall using sarima and arima
U Barman, AE Hussain, MJ Dahal, P Barman, M Hazarika
Smart Computing Techniques and Applications: Proceedings of the Fourth …, 2021
62021
ViT-SmartAgri: Vision Transformer and Smartphone-Based Plant Disease Detection for Smart Agriculture
U Barman, P Sarma, M Rahman, V Deka, S Lahkar, V Sharma, MJ Saikia
Agronomy 14 (2), 327, 2024
42024
Intelligent Computing and Communication Systems
B Singh, CAC Coello, P Jindal, P Verma
Springer Singapore, 2021
42021
A deep learning based android application to detect the leaf diseases of maize
U Barman, D Sahu, GG Barman
Proceedings of the Sixth International Conference on Mathematics and …, 2021
42021
Detection of breast cancer from mammogram images using deep transfer learning
A Das, HS Das, U Barman, A Choudhury, S Mazumdar, A Neog
Advances in Signal Processing and Intelligent Recognition Systems: 6th …, 2021
42021
Comparison of LR, SVR, and DNN for the Rainfall Forecast of Guwahati, Assam
U Barman, D Sahu, GG Barman
Proceedings of the International Conference on Computing and Communication …, 2021
42021
An energy balanced algorithm of PEGASIS protocol in WSN
K ChakravartL, U Barman
International Journal of Computer Sciences and Engineering 4 (07), 53-57, 2016
42016
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