| 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 | 67 | 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 |
| Plant disease identification using Deep Learning: A review. Indian Journal of Agricultural Sciences S Nigam, R Jain Indian Journal of Agricultural Sciences, 2019 | 27 | 2019 |
| Wheat Disease Severity Estimation: A Deep Learning Approach S Nigam, R Jain, S Prakash, S Marwaha, A Arora, V Singh,Kumar, ... Internet of Things and Connected Technologies: Conference Proceedings on 6th …, 2022 | 14 | 2022 |
| 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 |
| Recognition of diseases of maize crop using deep learning models MA Haque, S Marwaha, CK Deb, S Nigam, A Arora Neural Computing and Applications 35 (10), 7407-7421, 2023 | 6 | 2023 |
| A lightweight convolutional neural network for recognition of severity stages of maydis leaf blight disease of maize MA Haque, S Marwaha, A Arora, CK Deb, T Misra, S Nigam, KS Hooda Frontiers in Plant Science 13, 5252, 2022 | 5 | 2022 |
| Artificial Intelligence based Models for Plant Protection R Jain, S Nigam, S Santrupth International Journal of Agriculture, Environment and Sustainability 3 (1), 1-7, 2021 | 1 | 2021 |
| Role of artificial intelligence (AI) and internet of things (IoT) in mitigating climate change A Dheeraj, S Nigam, S Begam, S Naha, SJ Devi, HS Chaurasia, D Kumar, ... Not Available, 2020 | 1 | 2020 |
| Geographic Information Systems (GIS) and its Applications SN Banavath, M Shevakula, S Nigam, A Singh AkiNik Publications, 2023 | | 2023 |
| Paddy Leaf Disease Classification using ResNet-50 integrated with Canny Edge Detection Mechanism S Nigam, S Kumar, S Marwaha, MS Chandra Not Available, 2023 | | 2023 |
| Training manual on Data science in Agriculture R Parsad, A Arora, C Deb, S Nigam, UK Pradhan, M Ray ICAR-IASRI, New Delhi, 2023 | | 2023 |
| Brochure of Training program on Data Science in Agriculture (Bilingual) R Parsad, A Arora, CK Deb, S Nigam, UK Pradhan, M Ray ICAR-IASRI, New Delhi, 110012, 2023 | | 2023 |
| Implementation of Digitalization in Agrifood System N Kumar, S Nigam, A Dheeraj, R Kumar ICAR-Central Institute for Women in Agriculture, Bhubaneswar, 2023 | | 2023 |
| Technology Foresight: Anticipating Agricultural Applications. S Nigam, V Kumasagi, S Begam, R Saravanakumar National Institute of Agricultural Extension Management (MANAGE), Hyderabad …, 2023 | | 2023 |
| Image based Identification of Wheat Fungal Diseases using Artificial Intelligence S Nigam, R Jain, VK Singh, S Marwaha Population Diversity, Pathogenomics and Development of Diagnostics of …, 2023 | | 2023 |
| Geographic Information Systems (GIS) and its Applications SNB Madhu, M Shevakula, S Nigam, A Singh MULTIDISCIPLINARY, 127, 2023 | | 2023 |
| Applications of data mining in the bioinformatics field: A review S Begam, S Satpathy, S Godara, S Nigam, A Dheeraj, I Yuvaraj, ... Bhartiya Krishi Anusandhan Patrika 37 (2), 121-125, 2022 | | 2022 |
| Digital Technologies: A Way Forward for Developing Gender Sensitive Agripreneurship N Kumar, R Kumar, JK Samriya, S Nigam ICAR-CIWA, Bhubaneswar-751 003 & MANAGE, Hyderabad-500 030, 2021 | | 2021 |
Sudeep MarwahaHead and Professor, Division of Computer Application, ICAR-IASRIVerified email at icar.gov.in
