| Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images BS Anami, NN Malvade, S Palaiah Artificial intelligence in agriculture 4, 12-20, 2020 | 105 | 2020 |
| Classification of yield affecting biotic and abiotic paddy crop stresses using field images BS Anami, NN Malvade, S Palaiah Information Processing in Agriculture 7 (2), 272-285, 2020 | 75 | 2020 |
| Zinc biofortified rice varieties: challenges, possibilities, and progress in India D Sanjeeva Rao, CN Neeraja, P Madhu Babu, B Nirmala, K Suman, ... Frontiers in Nutrition 7, 26, 2020 | 70 | 2020 |
| Automated recognition and classification of adulteration levels from bulk paddy grain samples BS Anami, NN Malvade, S Palaiah Information processing in agriculture 6 (1), 47-60, 2019 | 42 | 2019 |
| Classification of rice diseases using convolutional neural network models R Yakkundimath, G Saunshi, B Anami, S Palaiah Journal of The Institution of Engineers (India): Series B 103 (4), 1047-1059, 2022 | 33 | 2022 |
| Effect of plant growth regulators and micronutrients on yield and yield components in okra. P Surendra, CM Nawalagatti, MB Chetti, SM Hiremath | 33 | 2006 |
| Variability studies for seed and seedling traits in Pongamia pinnata (L.) Pierre. VMP Patil, H Shivanna, P Surendra, GO Manjunath, A Krishna, GV Dasar | 27 | 2011 |
| Genetic variability for yield and yield attributing traits in F3 generation of rice (Oryza sativa L.) M Mallimar, P Surendra, NG Hanamaratti, M Jogi, TN Sathisha, ... Research in Environment and Life Sciences 9 (1), 24-28, 2015 | 20 | 2015 |
| Combining ability studies in pearl millet D Lakshmana, P Surendra, R Gurumurthy Res. on Crops 4 (3), 358-362, 2003 | 16 | 2003 |
| Automatic methods for classification of visual based viral and bacterial disease symptoms in plants R Yakkundimath, G Saunshi, S Palaiah International Journal of Information Technology 14 (1), 287-299, 2022 | 14 | 2022 |
| Seed quality enhancement techniques NT Komala, GM Sumalatha, R Gurumurthy, P Surendra Journal of Pharmacognosy and Phytochemistry 7 (1S), 3124-3128, 2018 | 9 | 2018 |
| Effect of plant growth regulators and micronutrients on morpho-physiological and biochemical traits and yield in okra. P Surendra, CM Nawalagatti, MB Chetti, SM Hiremath | 7 | 2006 |
| Variability, Correlation and Path Coefficient Analysis of Rice (Oryza sativa L.). Tribhuvan University Institute of Agriculture and Animal Science, Gokuleshwor, Baitadi, Nepal P Binod, A Niranjan, S Saugat, P Surendra International Journal of Scientific & Engineering Research 7, 2107-2176, 2016 | 6 | 2016 |
| Correlation studies for micronutrients, yield and yield components in F3 population of rice (Oryza Sativa L.) M Mallimar, P Surendra, R Hundekar, M Jogi, MCS Lakkangoudar Res Environ Life Sci 9 (9), 1140-1142, 2016 | 6 | 2016 |
| Combining ability studies in pearl millet (Pennisetum glaucum L.). D Lakshmana, P Surendra, R Gurumurty | 6 | 2003 |
| Genetic variability studies in pearl millet (Pennisetum glaucum L.) genotypes. D Lakshmana, P Surendra, R Gurumurty | 6 | 2003 |
| Zinc biofortified rice varieties: challenges, possibilities, and progress in India. Front Nutr 7: 26 SD Rao, CN Neeraja, P Madhu Babu, B Nirmala, K Suman, LVS Rao, ... | 5 | 2020 |
| Classification of yield affecting biotic and abiotic paddy crop stresses using field images. Information Processing in Agriculture 7, 272–285 BS Anami, NN Malvade, S Palaiah | 5 | 2020 |
| Morphological characterization of popular rice varieties of zone VIII and zone IX of Karnataka state NT Komala, R Gurumurthy, P Surendra Bull Env Pharmacol Life Sci 6 (3), 515-519, 2017 | 5 | 2017 |
| Development of low gluten cookies from pearl millet. Agric KMA Udaybeer, P Surendra, G Shriram Update 12 (3), 857-861, 2017 | 4 | 2017 |
Basavaraj AnamiRegistrar, KLE Technological university, hubballi-580031Geverifieerd e-mailadres voor kletech.ac.in
