scholarly journals Hyper-Spectral Laser Imaging of Under-Water Targets

2018 ◽  
Vol 9 (6) ◽  
pp. 1-10
Author(s):  
M. Darwiesh ◽  
Ashraf El-Sherif ◽  
H Ayoub ◽  
Yasser El-sharkawy ◽  
Mahmoud Hassan
Keyword(s):  
Laser Imaging ◽  
Hyper Spectral

MULTIPLE SCATTERING SUPPRESSION IN PLANAR LASER IMAGING OF DENSE SPRAYS BY MEANS OF STRUCTURED ILLUMINATION

2010 ◽  
Vol 20 (2) ◽  
pp. 133-139 ◽  
Author(s):  
Edouard Berrocal ◽  
Elias Kristensson ◽  
Mattias Richter ◽  
Mark Linne ◽  
Marcus Alden
Keyword(s):  
Multiple Scattering ◽  
Structured Illumination ◽  
Laser Imaging ◽  
Planar Laser

A Low Cost Hyper-spectral Mission

2003 ◽  
Author(s):  
Mike Cutter
Keyword(s):  
Low Cost ◽  
Hyper Spectral

BLUE LASER IMAGING: A NOVA OPÇÃO DE CROMOSCOPIA ELETRÔNICA PARA O DIAGNÓSTICO DE LESÕES COLORRETAIS

2017 ◽  
Vol 28 (Supl.5) ◽  
pp. 577-577
Author(s):  
Carlos Santos ◽  
Daniele Malaman ◽  
Rafaelle Furlan
Keyword(s):  
Blue Laser ◽  
Laser Imaging ◽  
Blue Laser Imaging

Eco-smart pest management in rice farming: prospects and challenges

2019 ◽  
Vol 56 (Special) ◽  
pp. 143-155
Author(s):  
SD Mohapatra ◽  
R Tripathi ◽  
Anjani Kumar ◽  
Suchismita Kar ◽  
Minati Mohapatra ◽  
...  
Keyword(s):  
Insect Pests ◽  
Mobile Apps ◽  
Insect Species ◽  
Economic Damage ◽  
Pests And Diseases ◽  
Pest Damage ◽  
Disruptive Technologies ◽  
Hyper Spectral ◽  
Rice Pest ◽  
Computer Based

The insect problem is accentuated in intensive rice cropping where the insects occur throughout the year in overlapping generations. Over 800 insect species damaging rice in one way or another, although the majority of them do very little damage. In India, about a dozen of insect species are of major importance but the economic damage caused by these species varies greatly from field to field and from year to year. Insect pests cause about 10-15 per cent yield losses. Farmers lose an estimated average of 37% of their rice crop to insect pests and diseases every year. This review focuses on precision farming tools being used in rice pest and diseases management viz., forecasting model for real-time pest-advisory services, hyper-spectral remote sensing in pest damage assessment, computer-based decision support system, disruptive technologies (mobile apps).

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