| Integration of RNN with GARCH refined by whale optimization algorithm for yield forecasting: a hybrid machine learning approach P Murali, R Revathy, S Balamurali, AS Tayade Journal of Ambient Intelligence and Humanized Computing, 1-13, 2020 | 41 | 2020 |
| Labour scarcity and selective mechanisation of sugarcane agriculture in Tamil Nadu, India P Murali, R Balakrishnan Sugar Tech 14, 223-228, 2012 | 31 | 2012 |
| Technical efficiency of sugarcane farms: An econometric analysis P Murali, D Puthira Prathap Sugar Tech 19, 109-116, 2017 | 27 | 2017 |
| An economic analysis of biofuel production and food security in India P Murali, K Hari, D Puthira Prathap Sugar Tech 18, 447-456, 2016 | 13 | 2016 |
| Bio-fuel market scenario in India P Murali, K Hari Sugar Tech 13, 394-398, 2011 | 12 | 2011 |
| Sugar sector decontrolling and market performance of sugar sector in India vis-à-vis global market: A cointegration analysis P Murali, R Sendhil, G Govindaraj, D Puthira Prathap, ... Sugar Tech 21, 557-568, 2019 | 11 | 2019 |
| Study on effect of weed management practices on weed dynamics and productivity of kharif maize Y Lavanya, K Srinivasan, CR Chinnamuthu, PA Murali, ... The Pharma Innovation Journal 10 (1), 662-665, 2021 | 9 | 2021 |
| Changes in edible oil preference and present-day consumption status of households: A case of Tamil Nadu state, India GN Govindaraj, S Suryaprakash, N Sivaramane, P Murali Journal of Oilseeds Research 33 (3), 178-184, 2016 | 9 | 2016 |
| An appraisal of Indian jaggery and confectionery exports in the global market: Markov chain model approach R Revathy, P Murali, V Venkatasubramanian, DP Prathap, S Balamurali Sugar Tech 23, 118-129, 2021 | 5 | 2021 |
| Effect of integrated weed management practices on weed parameters in direct seeded aerobic rice D Kotresh, S Radhamani, PA Murali, V Ravichandran, C Bharathi, ... Biol. Forum 14, 539-544, 2022 | 3 | 2022 |
| Barriers to ICT usage: an assessment among the sugarcane Farmers in disadvantaged districts of Tamil Nadu, India DP Prathap, P Murali, V Venkatasubramanian Sugar Tech 23, 286-295, 2021 | 3 | 2021 |
| Sugarcane development personnel’s attitudes towards internet usage: findings from a study in Southern India DP Prathap, P Murali, P Paul, V Venkatasubramanian Sugar Tech 23, 254-262, 2021 | 3 | 2021 |
| Hadoop Big Data Mining: An Effective Mapreduce Tool For Classifying Sugarcane Yield Data R Revathy, P Murali, S Balamurali Plant Archives Volume 20 (2), 4245-4250, 2020 | 3 | 2020 |
| Farmer led gross root level entrepreneurial initiatives for sustainable sugarcane production system in Tamil Nadu, India C Karpagam, DP Prathap, P Moovendan Journal of Applied and Natural Science 8 (4), 2249-2255, 2016 | 3 | 2016 |
| Influence of Profile Characteristics on Social-Dynamics Among Sugarcane Drip Users and Non-drip Users: A Farm Level Enquiry C Karpagam, V Ravichandran, P Murali, D Puthira Prathap, ... Sugar Tech 15, 349-353, 2013 | 3 | 2013 |
| Productivity Improvement in Sugarcane Farming in Tamil Nadu (India): Parametric and Non-Parametric Analysis P Murali, R Balakrishnan, D Puthira Prathap, C Karpagam, GN Govindaraj | 3 | 2012 |
| Sugar: Myths and reality P Murali, V Venkatasubramanian, B Ram Sugar and Sugar Derivatives: Changing Consumer Preferences, 253-261, 2020 | 2 | 2020 |
| Impact of the variety Co 86032 on sugar recovery in Tamil Nadu. P Murali, C Karpagam, DP Prathap, TR Shanthy | 2 | 2014 |
| Impact of drip irrigation in sugarcane-a field level enquiry. C Karpagam, RT Ravikumar Theodore, V Ravichandran, P Murali | 2 | 2010 |
| Strengthening Technology Delivery System through Empowerment of Village Organizations V Venkatasubramanian, DP Prathap, P Murali, T Arumuganathan New Delhi Publishers 12 (2), 65-70, 2023 | 1 | 2023 |
