A5109986723- Spectroscopy and Chemometric Analyses
- Smart Agriculture and AI
- Computational Fluid Dynamics and Aerodynamics
- Advanced Chemical Sensor Technologies
- Geotechnical Engineering and Soil Stabilization
- Plant Disease Management Techniques
- Fluid Dynamics and Turbulent Flows
- Aerodynamics and Acoustics in Jet Flows
Islamia College University
2023-2024
Aligarh Muslim University
2013
Wheat serves as a crucial agricultural commodity and primary dietary staple for numerous global populations. However, it faces persistent threats from various diseases targeting wheat leaves, ultimately impacting its production. Accurate prompt automated disease diagnosis through advanced computer vision is safeguarding quality. the literature relied on inadequate feature selection acquired computationally expensive backbones followed by shallow layered networks. It resultantly limiting...
A numerical investigation of two-dimensional unsteady, viscous and laminar compressible flow past an asymmetric biconvex circular-arc aerofoil in supersonic regime is carried out. The focus the present work to investigate effects variation Mach number, at two different angles attack, on force characteristics NACA 2S-(50)(04)-(50)(20) aerofoil. value Reynolds number taken as 5x10 5 . computations are out numbers 1.25, 1.5 2.0 angle attack α=0° α=10°. It found that works well and, unlike...
Wheat ranks as the third most extensively cultivated and consumed crop globally. However, many wheat crops are susceptible to spoilage caused by diverse disease types. Thus, manual diagnosis of these diseases poses significant challenges for farmers policymakers. Automated recognition can potentially enhance yield quantity quality. The current attempts proposed deep learning methods predict diseases. they unable find optimal features attention models focus on diseased regions in challenging...