Image processing based detection of fungal diseases in plants JD Pujari, R Yakkundimath, AS Byadgi Procedia Computer Science 46, 1802-1808, 2015 | 232 | 2015 |
SVM and ANN based classification of plant diseases using feature reduction technique D Pujari, R Yakkundimath, AS Byadgi IJIMAI 3 (7), 6-14, 2016 | 157 | 2016 |
Grading and classification of anthracnose fungal disease of fruits based on statistical texture features JD Pujari, R Yakkundimath, AS Byadgi International Journal of Advanced Science and Technology 52 (1), 121-132, 2013 | 77 | 2013 |
Identification and classification of fungal disease affected on agriculture/horticulture crops using image processing techniques JD Pujari, R Yakkundimath, AS Byadgi 2014 IEEE International Conference on Computational Intelligence and …, 2014 | 73 | 2014 |
Classification of fungal disease symptoms affected on cereals using color texture features JD Pujari, R Yakkundimath, AS Byadgi International Journal of Signal Processing, Image Processing and Pattern …, 2013 | 69 | 2013 |
Identification and classification of normal and affected agriculture/horticulture produce based on combined color and texture feature extraction BS Anami, JD Pujari, R Yakkundimath International Journal of Computer Applications in Engineering Sciences 1 (3 …, 2011 | 57 | 2011 |
Classification of rice diseases using convolutional neural network models R Yakkundimath, G Saunshi, B Anami, S Palaiah Journal of The Institution of Engineers (India): Series B 103 (4), 1047-1059, 2022 | 47 | 2022 |
Automatic fungal disease detection based on wavelet feature extraction and PCA analysis in commercial crops JD Pujari, R Yakkundimath, AS Byadgi International Journal of Image, Graphics and Signal Processing 6 (1), 24-31, 2013 | 43 | 2013 |
Recognition and classification of Produce affected by identically looking Powdery Mildew disease JD Pujari, R Yakkundimath, AS Byadgi Acta Technologica Agriculturae 17 (2), 29-34, 2014 | 31 | 2014 |
Statistical methods for quantitatively detecting fungal disease from fruits’ images J PUJARİ, R Yakkundimath, A BYADGİ International Journal of Intelligent Systems and Applications in Engineering …, 2013 | 31 | 2013 |
A comparative analysis of paddy crop biotic stress classification using pre-trained deep neural networks NN Malvade, R Yakkundimath, G Saunshi, MC Elemmi, P Baraki Artificial Intelligence in Agriculture 6, 167-175, 2022 | 27 | 2022 |
Plant disease detection using IoT R Yakkundimath, G Saunshi, V Kamatar Global J. Comput. Sci. Technol 8 (9), 18902-18906, 2018 | 23 | 2018 |
Reduced color and texture features based identification and classification of affected and normal fruits’ images JD Pujari, R Yakkundimath, AS Byadgi International Journal of Agricultural and Food Science 3 (3), 119-127, 2013 | 20 | 2013 |
Neuro-kNN classification system for detecting fungal disease on vegetable crops using local binary patterns. JD Pujari, R Yakkundimath, AS Byadgi Agricultural Engineering International: CIGR Journal 16 (4), 2014 | 17 | 2014 |
Recognition and classification of normal and affected agriculture produce using reduced color and texture features JD Pujari, R Yakkundimath, AS Byadgi International Journal of Computer Applications 93 (11), 2014 | 17 | 2014 |
Automatic methods for classification of visual based viral and bacterial disease symptoms in plants R Yakkundimath, G Saunshi, S Palaiah International Journal of Information Technology 14 (1), 287-299, 2022 | 16 | 2022 |
Detection and classification of fungal disease with radon transform and support vector machine affected on cereals JD Pujari, R Yakkundimath, AS Byadgi International Journal of Computational Vision and Robotics 4 (4), 261-280, 2014 | 16 | 2014 |
Quantitative detection of soybean rust using image processing techniques JD Pujari, R Siddarammayya Yakkundimath, S Jahagirdar, A Byadgi Journal of Crop Protection 5 (1), 75-87, 2016 | 14 | 2016 |
Identification of paddy blast disease field images using multi-layer CNN models R Yakkundimath, G Saunshi Environmental Monitoring and Assessment 195 (6), 646, 2023 | 8 | 2023 |
Comparison of tuplet of techniques for facial emotion detection DK Bhadangkar, JD Pujari, R Yakkundimath 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile …, 2020 | 8 | 2020 |