| Trust Based Recommender System for Semantic Web. P Bedi, H Kaur, S Marwaha IJCAI 7, 2677-2682, 2007 | 226 | 2007 |
| SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging T Misra, A Arora, S Marwaha, V Chinnusamy, AR Rao, R Jain, RN Sahoo, ... Plant methods 16, 1-20, 2020 | 84 | 2020 |
| Deep learning-based approach for identification of diseases of maize crop MA Haque, S Marwaha, CK Deb, S Nigam, A Arora, KS Hooda, ... Scientific reports 12 (1), 6334, 2022 | 64 | 2022 |
| Deep transfer learning model for disease identification in wheat crop S Nigam, R Jain, S Marwaha, A Arora, MA Haque, A Dheeraj, VK Singh Ecological Informatics 75, 102068, 2023 | 34 | 2023 |
| Era of artificial intelligence: Prospects for IndianAgriculture LM Bhar, V Ramasubramanian, A Arora, S Marwaha, R Parsad Indian Council of Agricultural Research, New Delhi, 2019 | 21 | 2019 |
| AGRIDAKSH-A Tool for developing online Expert System S Marwaha ALLIED PUBLISHERS PVT. LTD, 2017 | 17 | 2017 |
| Web-SpikeSegNet: deep learning framework for recognition and counting of spikes from visual images of wheat plants T Misra, A Arora, S Marwaha, RR Jha, M Ray, R Jain, AR Rao, ... IEEE Access 9, 76235-76247, 2021 | 16 | 2021 |
| Designing ontologies from traditional taxonomies P Bedi, S Marwaha Proceedings of International Conference on Cognitive Science, 324-329, 2004 | 15 | 2004 |
| Wheat disease severity estimation: a deep learning approach S Nigam, R Jain, S Prakash, S Marwaha, A Arora, VK Singh, AK Singh, ... International conference on Internet of things and connected technologies …, 2021 | 14 | 2021 |
| Versioning OWL ontologies using temporal tags P Bedi, S Marwaha International Journal of Computer and Information Engineering 1 (3), 686-691, 2007 | 14 | 2007 |
| Framework for Ontology Based Expert Systems: Disease & Pests Identification in Crops-A Case Study. P Bedi, S Marwaha IC-AI, 256-259, 2005 | 14 | 2005 |
| Maize AGRIdaksh: A farmer friendly device VK Yadav, S Marwaha, S Kumar, P Kumar, J Kaul, CM Parihar, P Supriya Indian Res. J. Ext. Edu 12 (3), 13-17, 2012 | 13 | 2012 |
| SlypNet: Spikelet-based yield prediction of wheat using advanced plant phenotyping and computer vision techniques AK Maji, S Marwaha, S Kumar, A Arora, V Chinnusamy, S Islam Frontiers in Plant Science 13, 889853, 2022 | 12 | 2022 |
| Image-based identification of maydis leaf blight disease of maize (Zea mays) using deep learning MA Haque, S Marwaha, A Arora, RK Paul, KS Hooda, A Sharma, ... Not Available, 2021 | 11 | 2021 |
| Temporal extension to OWL ontologies S Marwaha, P Bedi International Journal of Information Technology, 2018 | 11 | 2018 |
| Strengthening soil taxonomy ontology software for description and classification of USDA soil taxonomy up to soil series CK Deb, S Marwaha, PK Malhotra, SD Wahi, RN Pandey 2015 2nd international conference on computing for sustainable global …, 2015 | 11 | 2015 |
| Automating yellow rust disease identification in wheat using artificial intelligence S Nigam, R Jain, S Marwaha, A Arora, VK Singh, AK Singh, RK Paul, ... The Indian Journal of Agricultural Sciences, 2021 | 10 | 2021 |
| Wheat rust disease identification using deep learning S Nigam, R Jain, S Marwaha, A Arora De Gruyter, 2021 | 10 | 2021 |
| AgriMine: A Deep Learning integrated Spatio-temporal analytics framework for diagnosing nationwide agricultural issues using farmers’ helpline data S Godara, D Toshniwal, R Parsad, RS Bana, D Singh, J Bedi, A Jhajhria, ... Computers and Electronics in Agriculture 201, 107308, 2022 | 9 | 2022 |
| Disease diagnosis in crops using content based image retrieval S Marwaha, S Chand, A Saha 2012 12th International Conference on Intelligent Systems Design and …, 2012 | 9 | 2012 |
Alka AroraPrincipal Scientist,Computer Application, Indian Agricultural Statistics Research Institute, ICARVerified email at icar.gov.in
