A novel adoption index of selected agricultural technologies: Linkages with infrastructure and productivity R Jain, A Arora, SS Raju Agricultural Economics Research Review 22 (1), 109-120, 2009 | 90 | 2009 |
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 | 89 | 2020 |
Irrigation in India: Status, challenges and options R Jain, P Kishore, DK Singh Journal of Soil and Water Conservation 18 (4), 354-363, 2019 | 84 | 2019 |
Rough set based decision tree model for classification S Minz, R Jain Lecture Notes in Computer Science 2737, 172-181, 2003 | 45 | 2003 |
Deep transfer learning model for disease identification in wheat crop S Nigam, R Jain, S Marwaha, A Arora, MA Haque Ecological Informatics 75 (2023), 102068, 2023 | 39 | 2023 |
Revisiting groundwater depletion and its implications on farm economics in Punjab, India SK Srivastava, R Chand, J Singh, AP Kaur, R Jain, I Kingsly, SS Raju Current Science, 422-429, 2017 | 39 | 2017 |
Unsustainable Groundwater Use in Punjab Agriculture: Insights from Cost of Cultivation Survey SK Srivastava, R Chand, SS Raju, R Jain, I Kingsly, J Sachdeva, J Singh, ... Indian Journal of Agricultural Economics 70 (3), 365-378, 2015 | 38 | 2015 |
ICTs and farm women: Access, use and impact R Jain, UR Ahuja, A Kumar Indian Journal of Agricultural Economics 67 (3), 385-394, 2012 | 38 | 2012 |
Plant disease identification using Deep Learning: A review S Nigam, R Jain Indian Journal of Agricultural Science 90 (2), 249-57, 2020 | 35 | 2020 |
Multivariate forecast of winter Monsoon rainfall in India using SST anomaly as a predictor: Neurocomputing and statistical approaches G Chattopadhyay, S Chattopadhyay, R Jain Comptes Rendus Geoscience, 755–765, 2010 | 35 | 2010 |
Growth and Instability in Agricultural Productivity: A District Level Analysis A Kuma, R Jain Agricultural Economics Research Review 26 (1), 31-42, 2013 | 34 | 2013 |
Machine Learning for Forewarning Crop Diseases R Jain, S Minz, RS V Journal of the Indian society of Agricultural Statistics 63 (1), 97-107, 2009 | 32 | 2009 |
Optimization techniques for crop planning: A review R Jain, L Malangmeih, SS Raju, SK SRIVASTAVA, K IMMANEULRAJ, ... Indian Journal of Agricultural Sciences 88 (12), 1826–35, 2018 | 31 | 2018 |
Optimization techniques for crop planning: A review R Jain, L Malangmeih, SS Raju, SK Srivastava, K Immaneulraj, AP Kaur The Indian Journal of Agricultural Sciences 88 (12), 1826-1835, 2018 | 31 | 2018 |
Estimating potential evapotranspiration from limited weather data over Gangetic West Bengal, India: a neurocomputing approach C Surajit, R Jain, G Chattopadhyay Meteorological Applications 16 (2), 179, 2009 | 30* | 2009 |
Learning Patterns from Clusters using Reduct, Rough Sets and Current Trends in Computing SURJ Alka Arora Lecture Notes in Computer Science, Springer Berlin, New York. Vol. 5306: 389 …, 2008 | 27* | 2008 |
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, SM Ray, R Jain, AR Rao, ... IEEE Access 9 (DOI: 10.1109/ACCESS.2021.3080836), 76235 - 76247, 2021 | 20 | 2021 |
Crop and soil suitability analysis using multi-criteria decision making in drought-prone semi-arid tropics in India R Jain, P Chand, SC Rao, P Agarwal Journal of Soil and Water Conservation 19 (3), 271-283, 2020 | 20 | 2020 |
Comparing performance of various crops in Punjab based on market and economic prices and natural resource accounting. SS Raju, RC Ramesh Chand, SK Srivastava, AP Kaur, JS Jaspal Singh, ... | 20 | 2015 |
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 | 17 | 2021 |