Zobrazeno 1 - 10
of 17
pro vyhledávání: '"K P, Rekha"'
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 1 (2024)
Deep Neural Network (DNN) object detectors have proved their efficiency in the detection and classification of objects in normal weather. However, these models suffer a lot during bad weather conditions (foggy, rain, haze, night, etc.). This study pr
Externí odkaz:
https://doaj.org/article/ef901ccd1e15466c82005d618e768b7a
The Planter performance under varied seed rate and nutrient management in chickpea (Cicer arietinum)
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 12 (2023)
A field study was carried out during winter (rabi) seasons of 2020–21 and 2021–22 at Agricultural Research Institute, Professor Jayashankar Telangana State Agricultural University, Hyderabad, Telangana to evaluate planter performance in chickpea
Externí odkaz:
https://doaj.org/article/de6702f59b6449ebbbb988c6365bb266
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 10 (2023)
The study suggests that in chickpea higher WCI, HEI and lower WI were noticed with the application of pendimethalin + imazethapyr 1.0 kg/ha as PE fb MW at 30 DAS. Although the application of topramezone @25.2 g/ha as PoE fb MW at 40 DAS (T5) resulted
Externí odkaz:
https://doaj.org/article/f25a4fab1a9846f1ae80f8cb7df04886
Publikováno v:
The Indian Journal of Agricultural Sciences, Vol 93, Iss 1 (2023)
Field experiments were conducted during rainy (kharif) season, 2015 and 2016 to assess the impact of land configurations and nutrient management on Bt cotton (Gossypium herbaceum L.) at College Farm, College of Agriculture, Rajendranagar, Professor J
Externí odkaz:
https://doaj.org/article/39542f97fb6345898c30b87246fe8ee2
Autor:
Hiremath, Tej. C., K. S., Rekha
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence; October 2024, Vol. 36 Issue: 7 p985-1002, 18p
Publikováno v:
Veterinary World, Vol 9, Iss 2, Pp 211-215 (2016)
Aim: Aim of the present study was to compare different methods, viz., Sheather’s sugar flotation (SSF), Ziehl-Neelsen (ZN), Kinyoun’s acid-fast method (KAF), safranin-methylene blue staining (SMB), and negative staining techniques such as nigrosi
Externí odkaz:
https://doaj.org/article/4f5b4bfa761a4cf29449ce53eb07e5ee
Publikováno v:
Electronic Journal of Plant Breeding, Vol 6, Iss 1, Pp 225-232 (2015)
Genetic divergence among thirty one mungbean genotypes grown under moisture stress condition induced during pod filling stage was estimated using Mahalanobi's D2 statistic and total of eleven clusters were obtained. Cluster I and cluster II contained
Externí odkaz:
https://doaj.org/article/26ad91345421460c94a5723c625796ef
Publikováno v:
Environment & Ecology; Oct-Dec2022, Vol. 40 Issue 4C, p2678-2682, 5p
Publikováno v:
Environment & Ecology; Apr-Jun2022, Vol. 40 Issue 2, p404-409, 6p
Autor:
K. R., Rekha
Publikováno v:
HIV & AIDS Review; 2021, Vol. 20 Issue 4, p264-269, 6p