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Surendra Palaiah
Surendra Palaiah
Professor (GPB)/Principal Scientist (GPB), University of Agricultural Sciences, Dharwad, INDIA
在 uasd.in 的电子邮件经过验证
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引用次数
引用次数
年份
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
1202020
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
852020
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
782020
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
452019
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
442022
Variability studies for seed and seedling traits in Pongamia pinnata (L.) Pierre.
VMP Patil, H Shivanna, P Surendra, GO Manjunath, A Krishna, GV Dasar
302011
Effect of plant growth regulators and micronutrients on yield and yield components in okra.
P Surendra, CM Nawalagatti, MB Chetti, SM Hiremath
302006
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
212015
Combining ability studies in pearl millet
D Lakshmana, P Surendra, R Gurumurthy
Res. on Crops 4 (3), 358-362, 2003
172003
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
162022
Seed quality enhancement techniques
NT Komala, GM Sumalatha, R Gurumurthy, P Surendra
Journal of Pharmacognosy and Phytochemistry 7 (1S), 3124-3128, 2018
102018
Morphological characterization of advance lines of rice (Oryza sativa L.) derived from swarna x ranbir basmati at seedling stage
NT Komala, R Gurumurthy, P Surendra
Journal of Rice Research 10 (1), 27-36, 2017
92017
Genetic variability studies in pearl millet (Pennisetum glaucum L.) genotypes.
D Lakshmana, P Surendra, R Gurumurty
82003
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
72016
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
62020
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
62016
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
62006
Combining ability studies in pearl millet (Pennisetum glaucum L.).
D Lakshmana, P Surendra, R Gurumurty
62003
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, ...
52020
OMICS technologies towards seed quality improvement
NT Komala, R Gurumurthy, P Surendra
Int J Pure App Biosci 5, 1075-85, 2017
52017
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