| Comparison of various modelling approaches for water deficit stress monitoring in rice crop through hyperspectral remote sensing. PMS Gopal Krishna, Rabi N. Sahoo, Prafull Singh, Vaishangi Bajpai, Himesh ... Agricultural water management 213, 231–244, 2019 | 104 | 2019 |
| 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 | 93 | 2020 |
| Application of thermal imaging and hyperspectral remote sensing for crop water deficit stress monitoring G Krishna, RN Sahoo, P Singh, H Patra, V Bajpai, B Das, S Kumar, ... Geocarto International 36 (5), 481-498, 2021 | 52 | 2021 |
| Heterotic grouping and patterning of quality protein maize inbreds based on genetic and molecular marker studies A Rajendran, A Muthiah, J Joel, P Shanmugasundaram, D Raju Turkish Journal of Biology 38 (1), 10-20, 2014 | 34 | 2014 |
| Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches B Singh, S Kumar, A Elangovan, D Vasht, S Arya, NT Duc, P Swami, ... Frontiers in Plant Science 14, 1214801, 2023 | 15 | 2023 |
| Differential accumulation of β-carotene and tissue specific expression of phytoene synthase (MaPsy) gene in banana (Musa sp) cultivars R Dhandapani, VP Singh, A Arora, RC Bhattacharya, A Rajendran Journal of food science and technology 54, 4416-4426, 2017 | 15 | 2017 |
| Harnessing heterosis and male sterility in soybean [Glycine max (L.) Merrill]: A critical revisit A Ramlal, A Nautiyal, P Baweja, R Kumar Mahto, S Mehta, ... Frontiers in Plant Science 13, 981768, 2022 | 13 | 2022 |
| Associations of direct and indirect selection for pregermination anaerobic stress tolerance in soybean (Glycine max) A Rajendran, SK Lal, D Raju, A Ramlal Plant Breeding 141 (5), 634-643, 2022 | 13 | 2022 |
| Insights into morphological and physio-biochemical adaptive responses in mungbean (Vigna radiata L.) under heat stress R Bhardwaj, JK Lone, R Pandey, N Mondal, R Dhandapani, SK Meena, ... Frontiers in Genetics 14, 1206451, 2023 | 12 | 2023 |
| Angiotensin-converting enzyme inhibitory peptides and isoflavonoids from soybean [Glycine max (L.) Merr.] A Ramlal, A Nautiyal, P Baweja, V Kumar, S Mehta, RK Mahto, S Tripathi, ... Frontiers in Nutrition 9, 1068388, 2022 | 10 | 2022 |
| Image-based phenotyping of seed architectural traits and prediction of seed weight using machine learning models in soybean NT Duc, A Ramlal, A Rajendran, D Raju, SK Lal, S Kumar, RN Sahoo, ... Frontiers in Plant Science 14, 1206357, 2023 | 9 | 2023 |
| Leaf counting in rice (Oryza Sativa L.) using object detection: A deep learning approach MK Vishal, B Banerjee, R Saluja, D Raju, V Chinnusamy, S Kumar, ... IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 9 | 2020 |
| Image-based phenotyping of diverse rice (Oryza sativa L.) genotypes MK Vishal, D Tamboli, A Patil, R Saluja, B Banerjee, A Sethi, D Raju, ... arXiv preprint arXiv:2004.02498, 2020 | 9 | 2020 |
| Concurrent Overexpression of Rice GS1;1 and GS2 Genes to Enhance the Nitrogen Use Efficiency (NUE) in Transgenic Rice SK Lal, S Mehta, D Raju, VMM Achary, AK Venkatapuram, SK Yadav, ... Journal of Plant Growth Regulation 42 (10), 6699-6720, 2023 | 8 | 2023 |
| Image Based High throughput Phenotyping for Fusarium Wilt Resistance in Pigeon Pea (Cajanus cajan) RK Bannihatti, P Sinha, D Raju, S Das, SN Mandal, RS Raje, ... Phytoparasitica 50 (5), 1075-1090, 2022 | 8 | 2022 |
| Artificial neural network for estimating leaf fresh weight of rice plant through visual-nir imaging T Misra, A Arora, S Marwaha, M Ray, D Raju, S Kumar, S Goel, RN Sahoo, ... Indian J. Agric. Sci 89, 1698-1702, 2019 | 8 | 2019 |
| Screening of soybean genotypes for pre-germination anaerobic stress tolerance to waterlogging A Rajendran, SK Lal, SK Jain, D Raju Journal of Pharmacognosy and Phytochemistry 8 (2S), 01-03, 2019 | 8 | 2019 |
| Genetic basis of flower colour production in grasspea V Kumari, RB Mehra, DB Raju, K Himabindu Lathyrus and Lathyrism 5 (1), 10, 1993 | 8 | 1993 |
| Imaging sensor-based high-throughput measurement of biomass using machine learning models in rice A Elangovan, NT Duc, D Raju, S Kumar, B Singh, C Vishwakarma, ... Agriculture 13 (4), 852, 2023 | 7 | 2023 |
| Phenomics: unlocking the hidden genetic variation for breaking the barriers in yield and stress tolerance. RNVC Sudhir Kumar, Dhandapani R, Sahoo Indian Journal of Plant Physiol. 21 (4), 409–419, 2016 | 7 | 2016 |
Viswanathan ChinnusamyICAR-Indian Agricultural Research Institute, New Delhi, India在 iari.res.in 的电子邮件经过验证
