Detection of coronavirus disease (covid-19) based on deep features PK Sethy, SK Behera MDPI AG, 2020 | 1121 | 2020 |
Deep feature based rice leaf disease identification using support vector machine PK Sethy, NK Barpanda, AK Rath, SK Behera Computers and Electronics in Agriculture 175, 105527, 2020 | 422 | 2020 |
Maturity status classification of papaya fruits based on machine learning and transfer learning approach SK Behera, AK Rath, PK Sethy Information Processing in Agriculture 8 (2), 244-250, 2021 | 215 | 2021 |
Image processing techniques for diagnosing rice plant disease: a survey PK Sethy, NK Barpanda, AK Rath, SK Behera Procedia Computer Science 167, 516-530, 2020 | 140 | 2020 |
Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network SKB prabira kumar sethy, Nalini Kanta Barpanda, Amiya Kumar Rath Journal of Ambient Intelligence and Humanized Computing, 2020 | 105 | 2020 |
Identification, classification & grading of fruits using machine learning & computer intelligence: a review SK Behera, AK Rath, A Mahapatra, PK Sethy Journal of Ambient Intelligence and Humanized Computing, 1-11, 2020 | 105 | 2020 |
Disease classification and grading of orange using machine learning and fuzzy logic SK Behera, L Jena, AK Rath, PK Sethy 2018 International Conference on Communication and Signal Processing (ICCSP …, 2018 | 65 | 2018 |
Hyperspectral imagery applications for precision agriculture-a systemic survey PK Sethy, C Pandey, YK Sahu, SK Behera Multimedia Tools and Applications 81 (2), 3005-3038, 2022 | 53 | 2022 |
Measurement of disease severity of rice crop using machine learning and computational intelligence S Gurumoorthy, BNK Rao, XZ Gao, PK Sethy, B Negi, NK Barpanda, ... Cognitive Science and Artificial Intelligence: Advances and Applications, 1-11, 2018 | 50 | 2018 |
Time series forecasting of price of agricultural products using hybrid methods SK Purohit, S Panigrahi, PK Sethy, SK Behera Applied Artificial Intelligence 35 (15), 1388-1406, 2021 | 49 | 2021 |
Fruits yield estimation using Faster R-CNN with MIoU SK Behera, AK Rath, PK Sethy Multimedia Tools and Applications 80 (12), 19043-19056, 2021 | 46 | 2021 |
Smart paddy field monitoring system using deep learning and IoT PK Sethy, SK Behera, N Kannan, S Narayanan, C Pandey Concurrent Engineering 29 (1), 16-24, 2021 | 40 | 2021 |
Fruit recognition using support vector machine based on deep features SK Behera, AK Rath, PK Sethy Karbala International Journal of Modern Science 6 (2), 16, 2020 | 40 | 2020 |
Rice false smut detection based on faster R-CNN PK Sethy, NK Barpanda, AK Rath, SK Behera Indonesian Journal of Electrical Engineering and Computer Science 19 (3 …, 2020 | 35 | 2020 |
Machine learning based classification of EEG signal for detection of child epileptic seizure without snipping PK Sethy, M Panigrahi, K Vijayakumar, SK Behera International Journal of Speech Technology 26 (3), 559-570, 2023 | 34 | 2023 |
Identification and counting of mature apple fruit based on BP feed forward neural network S Lal, SK Behera, PK Sethy, AK Rath 2017 Third International Conference on Sensing, Signal Processing and …, 2017 | 33 | 2017 |
Forecasting of sunspot time series using a hybridization of ARIMA, ETS and SVM methods S Panigrahi, RM Pattanayak, PK Sethy, SK Behera Solar Physics 296 (1), 6, 2021 | 31 | 2021 |
Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison PK Sethy, SK Behera, K Anitha, C Pandey, MR Khan Journal of X-ray Science and Technology 29 (2), 197-210, 2021 | 29 | 2021 |
A data constrained approach for brain tumour detection using fused deep features and SVM PK Sethy, SK Behera Multimedia Tools and Applications 80 (19), 28745-28760, 2021 | 28 | 2021 |
A cost-effective computer-vision based breast cancer diagnosis PK Sethy, C Pandey, MR Khan, SK Behera, K Vijaykumar, S Panigrahi Journal of Intelligent & Fuzzy Systems 41 (5), 5253-5263, 2021 | 28 | 2021 |