| A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions S Murmu, D Sinha, H Chaurasia, S Sharma, R Das, GK Jha, S Archak Frontiers in Plant Science 15, 1292054, 2024 | 21 | 2024 |
| Melatonin mediated abiotic stress mitigation in plants: A comprehensive study from biochemical to omics cascades I Samal, TK Bhoi, DK Mahanta, J Komal, PK Majhi, S Murmu, AK Pradhan, ... South African Journal of Botany 170, 331-347, 2024 | 4 | 2024 |
| Identification of Paddy Stages from Images using Deep Learning H Chaurasia, A Arora, D Raju, S Marwaha, V Chinnusamy, R Jain, M Ray, ... Journal of the Indian Society of Agricultural Statistics 78 (1), 69-74, 2024 | 4 | 2024 |
| Prediction of protein–protein interactions between anti-CRISPR and CRISPR-Cas using machine learning technique S Murmu, H Chaurasia, S Guha Majumdar, AR Rao, A Rai, S Archak Journal of Plant Biochemistry and Biotechnology 32 (4), 818-830, 2023 | 4 | 2023 |
| Development of android based crop advisory application for seed spices H Chaurasia, SN Islam, S Priyadarshini, R Kumar, MA Khan Int J Curr Microbiol AppSci 9 (3), 904-913, 2020 | 3 | 2020 |
| Crop monitoring system integrating with internet of things and artificial intelligence A Kumar Pradhan, D Kumar, H Chaurasia, S Murmu, I Samal, ... Artificial Intelligence and Smart Agriculture: Technology and Applications …, 2024 | 2 | 2024 |
| Impact of bioinformatics advances in agricultural sciences S Murmu, AK Pradhan, H Chaurasia, D Kumar, I Samal Publish Popular articles, Newsletters, Success stories, Open Access …, 2022 | 2 | 2022 |
| Remote Sensing in Precision Agriculture: Current Status and Applications D Kumar, AK Pradhan, R Jain, V Kumar, S Murmu, I Samal, HS Chaurasia Artificial Intelligence and Smart Agriculture: Technology and Applications …, 2024 | 1 | 2024 |
| Information and Communication Technologies (ICTs) interventions for Climate Resilient Agriculture P AK, H Chaurasia, GAK Kumar, SK Mishra, B Mondal, NN Jambhulkar, ... Climate Resilient Technologies for Rice based Production Systems in Eastern …, 2022 | 1 | 2022 |
| Advancing Toward Sustainable Agriculture Through Artificial Intelligence: Case Studies in Indian A Arora, CK Deb, T Misra, H Chaurasia, S Marwaha, R Parsad Advances in Agri-Food Systems 1, 273-286, 2025 | | 2025 |
| PanicleDet: a deep learning-based model for detection of panicle stages in paddy H Chaurasia, A Arora, D Raju, S Marwaha, V Chinnusamy, R Jain, ... Neural Computing and Applications 37 (4), 2663-2673, 2025 | | 2025 |
| Leveraging Text Mining to Analyze Climate Change Discourse and Trends: A Computational Approach L Sonkusale, V Kumar, H Chaurasia Acta Scientific Agriculture 9 (2), 110-117, 2025 | | 2025 |
| Sensors and their Applications in Smart Textiles using Arduino H Chaurasia, P Jagajanantha Smart Textiles and 3D Printing, 91-96, 2025 | | 2025 |
| AI Revolution in Cotton Processing H Chaurasia, N Shanmugam, K Sharma, A Arora, S Murmu Krishi Science 5 (12), 59-63, 2024 | | 2024 |
| Bioinformatics Approaches for Unraveling the Complexities of Plant Stress Physiology S Murmu, H Chaurasia, I Samal, TK Bhoi, AK Pradhan Bioinformatics for Plant Research and Crop Breeding, 209-231, 2024 | | 2024 |
| FEAtl: a comprehensive web-based expression atlas for functional genomics in tropical and subtropical fruit crops A Roy, H Chaurasia, B Kumar, N Kumari, S Jaiswal, M Srivastava, ... BMC Plant Biology 24 (1), 890, 2024 | | 2024 |
| Developing AI model using auto machine learning platform for highest spinnable count index prediction from cotton fibre properties. N Shanmugam, GTV Prabhu, P Jagajanantha, H Chaurasia | | 2023 |
| The Role of Artificial Intelligence in Image Classification for Agriculture H Chaurasia, S Murmu Krishi Science 4 (7), 9-13, 2023 | | 2023 |
| Computer vision, machine learning and artificial intelligence for image object detection and precision phenotyping of crop plants A Arora, T Misra, H Chaurasia, P Dagar, M Godara Manual of DST-SERB Sponsored high end workshop (Karyashala) on "Phenomics …, 2023 | | 2023 |
| PANDet: Image Object Detection and Deep Learning Approach for Predicting Yield in Rice H Chaurasia, A Arora, D Raju Manual of DST-SERB Sponsored high end workshop (Karyashala) on "Phenomics …, 2023 | | 2023 |
Dr. Sneha MurmuScientist, Division of Agricultural Bioinformatics, ICAR- Indian Agricultural Statistics ResearchVerificeret mail på icar.gov.in