Diagnosis and classification of grape leaf diseases using neural networks SS Sannakki, VS Rajpurohit, VB Nargund, P Kulkarni 2013 Fourth International Conference on Computing, Communications and …, 2013 | 268 | 2013 |
Leaf disease grading by machine vision and fuzzy logic SS Sannakki, VS Rajpurohit, VB Nargund, A Kumar, PS Yallur Int J 2 (5), 1709-1716, 2011 | 132 | 2011 |
Crop yield prediction using machine learning techniques R Medar, VS Rajpurohit, S Shweta 2019 IEEE 5th international conference for convergence in technology (I2CT), 1-5, 2019 | 123 | 2019 |
A survey on data mining techniques for crop yield prediction RA Medar, VS Rajpurohit International Journal of Advance Research in Computer Science and Management …, 2014 | 82 | 2014 |
Impact of training and testing data splits on accuracy of time series forecasting in machine learning R Medar, VS Rajpurohit, B Rashmi 2017 International Conference on Computing, Communication, Control and …, 2017 | 60 | 2017 |
Classification of pomegranate diseases based on back propagation neural network SS Sannakki, VS Rajpurohit International Research Journal of Engineering and Technology (IRJET) 2 (2), 2015 | 50 | 2015 |
Attention-based multi-modal sentiment analysis and emotion detection in conversation using RNN MG Huddar, SS Sannakki, VS Rajpurohit International Journal of Interactive Multimedia and Artificial Intelligence …, 2021 | 48 | 2021 |
Fruits sorting and grading using fuzzy logic HG Naganur, SS Sannakki, VS Rajpurohit, R Arunkumar Int J Adv Res Comput Eng Technol 1 (6), 117-122, 2012 | 45 | 2012 |
A neural network approach for disease forecasting in grapes using weather parameters S Sannakki, VS Rajpurohit, F Sumira, H Venkatesh 2013 Fourth International Conference on Computing, Communications and …, 2013 | 42 | 2013 |
Fast and efficient multiview access control mechanism for cloud based agriculture storage management system K Sambrekar, VS Rajpurohit International Journal of Cloud Applications and Computing (IJCAC) 9 (1), 33-49, 2019 | 41 | 2019 |
A survey of computational approaches and challenges in multimodal sentiment analysis MG Huddar, SS Sannakki, VS Rajpurohit Int. J. Comput. Sci. Eng 7 (1), 876-883, 2019 | 40 | 2019 |
Attention-based multimodal contextual fusion for sentiment and emotion classification using bidirectional LSTM MG Huddar, SS Sannakki, VS Rajpurohit Multimedia Tools and Applications 80 (9), 13059-13076, 2021 | 36* | 2021 |
Multi-level context extraction and attention-based contextual inter-modal fusion for multimodal sentiment analysis and emotion classification MG Huddar, SS Sannakki, VS Rajpurohit International Journal of Multimedia Information Retrieval 9 (2), 103-112, 2020 | 34 | 2020 |
Sugarcane crop yield forecasting model using supervised machine learning RA Medar, VS Rajpurohit, AM Ambekar International Journal of Intelligent Systems and Applications 11 (8), 11, 2019 | 34 | 2019 |
A hybrid intelligent system for automated pomegranate disease detection and grading S SS, R VS, N VB, A KUMAR, Y PS Int. J. Mach. Intell 3 (2), 36-44, 2011 | 34 | 2011 |
Attention-based word-level contextual feature extraction and cross-modality fusion for sentiment analysis and emotion classification MG Huddar, SS Sannakki, VS Rajpurohit International Journal of Intelligent Engineering Informatics 8 (1), 1-18, 2020 | 28 | 2020 |
A survey on chat-bot system for agriculture domain PY Niranjan, VS Rajpurohit, R Malgi 2019 1st International Conference on Advances in Information Technology …, 2019 | 28 | 2019 |
Systematic analysis of satellite image-based land cover classification techniques: Literature review and challenges AB Gavade, VS Rajpurohit International Journal of Computers and Applications 43 (6), 514-523, 2021 | 24 | 2021 |
A study on technology-led solutions for fruit grading to address post-harvest handling issues of horticultural crops A Kumar, VS Rajpurohit, S Kautish Modern Techniques for Agricultural Disease Management and Crop Yield …, 2020 | 23 | 2020 |
Multi‐level feature optimization and multimodal contextual fusion for sentiment analysis and emotion classification MG Huddar, SS Sannakki, VS Rajpurohit Computational Intelligence 36 (2), 861-881, 2020 | 22 | 2020 |