scholarly journals Multivariate data modelling for de-shadowing of airborne hyperspectral imaging

2017 ◽  
Author(s):  
João Fortuna ◽  
Harald Martens
Keyword(s):  
High Resolution ◽  
Hyperspectral Imaging ◽  
Visual Inspection ◽  
Biological Properties ◽  
Classification Algorithms ◽  
Data Modelling ◽  
Lighting Condition ◽  
Physical Chemical ◽  
Multivariate Data Modelling

Airborne hyperspectral imaging is a powerful technique for high-resolution classification of large areas of ground, applied today in fields like agriculture and environmental monitoring. Even though many classification algorithms are capable of handling shadows without a decrease in performance, visual inspection can be made easier if shadows are removed. In this paper we present a method for separating the effect of shadows (de-shadowing) and other partially known lighting condition changes from the effects due to the physical, chemical or biological properties of the ground, which are of interest. An example application is shown with good results.

scholarly journals Effects of increasing hydrophobicity on the physical-chemical and biological properties of a class A amphipathic helical peptide

2001 ◽  
Vol 42 (7) ◽  
pp. 1096-1104 ◽  
Author(s):  
Geeta Datta ◽  
Manjula Chaddha ◽  
Susan Hama ◽  
Mohamad Navab ◽  
Alan M. Fogelman ◽  
...  
Keyword(s):  
Biological Properties ◽  
Class A ◽  
Physical Chemical ◽  
Helical Peptide

Nanobiotechnology: Nature-inspired silver nanoparticles towards green synthesis

2021 ◽  
pp. 0958305X2198988
Author(s):  
Nur Syakirah Rabiha Rosman ◽  
Noor Aniza Harun ◽  
Izwandy Idris ◽  
Wan Iryani Wan Ismail
Keyword(s):  
Electrical Conductivity ◽  
Silver Nanoparticles ◽  
Green Synthesis ◽  
Metal Nanoparticles ◽  
Current Trend ◽  
Biological Properties ◽  
Noble Metal Nanoparticles ◽  
Current Application ◽  
Physical Chemical ◽  
Physical And Chemical

The emergence of technology to produce nanoparticles (1 nm – 100 nm in size) has drawn significant researchers’ interests. Nanoparticles can boost the antimicrobial, catalytic, optical, and electrical conductivity properties, which cannot be achieved by their corresponding bulk. Among other noble metal nanoparticles, silver nanoparticles (AgNPs) have attained a special emphasis in the industry due to their superior physical, chemical, and biological properties, closely linked to their shapes, sizes, and morphologies. Proper knowledge of these NPs is essential to maximise the potential of biosynthesised AgNPs in various applications while mitigating risks to humans and the environment. This paper aims to critically review the global consumption of AgNPs and compare the AgNPs synthesis between conventional methods (physical and chemical) and current trend method (biological). Related work, advantages, and drawbacks are also highlighted. Pertinently, this review extensively discusses the current application of AgNPs in various fields. Lastly, the challenges and prospects of biosynthesised AgNPs, including application safety, oxidation, and stability, commercialisation, and sustainability of resources towards a green environment, were discussed.

scholarly journals Automated Detection of Tetranychus urticae Koch in Citrus Leaves Based on Colour and VIS/NIR Hyperspectral Imaging

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1002
Author(s):  
María Gyomar Gonzalez-Gonzalez ◽  
Jose Blasco ◽  
Sergio Cubero ◽  
Patricia Chueca
Keyword(s):  
Hyperspectral Imaging ◽  
Tetranychus Urticae ◽  
Visual Inspection ◽  
Vision System ◽  
Automated Detection ◽  
Nutritional Deficiencies ◽  
Phyllocnistis Citrella ◽  
Mature Leaves ◽  
Citrus Leaves ◽  
Tetranychus Urticae Koch

Tetranychus urticae Koch is an important citrus pest that produces chlorotic spots on the leaves and scars on the fruit of affected trees. It is detected by visual inspection of the leaves. This work studies the potential of colour and hyperspectral imaging (400–1000 nm) under laboratory conditions as a fast and automatic method to detect the damage caused by this pest. The ability of a traditional vision system to differentiate this pest from others, such as Phyllocnistis citrella, and other leaf problems such as those caused by nutritional deficiencies, has been studied and compared with a more advanced hyperspectral system. To analyse the colour images, discriminant analysis has been used to classify the pixels as belonging to either a damaged or healthy leaves. In contrast, the hyperspectral images have been analysed using PLS DA. The rate of detection of the damage caused by T. urticae with colour images reached 92.5%, while leaves that did not present any damage were all correctly identified. Other problems such as damage by P. citrella were also correctly discriminated from T. urticae. Moreover, hyperspectral imaging allowed damage caused by T. urticae to be discriminated from healthy leaves and to distinguish between recent and mature leaves, which indicates whether it is a recent or an older infestation. Furthermore, good results were achieved in the discrimination between damage caused by T. urticae, P. citrella, and nutritional deficiencies.

scholarly journals Effect of Lignite Fly Ash on the Growth and Reproduction of Earthworm Eisenia fetida

2009 ◽  
Vol 6 (2) ◽  
pp. 511-517 ◽  
Author(s):  
S. Sarojini ◽  
S. Ananthakrishnasamy ◽  
G. Manimegala ◽  
M. Prakash ◽  
G. Gunasekaran
Keyword(s):  
Fly Ash ◽  
Eisenia Fetida ◽  
Power Plants ◽  
Thermal Power ◽  
Biological Properties ◽  
Cow Dung ◽  
Physical Chemical ◽  
Lignite Fly Ash ◽  
Agricultural Use ◽  
Growth And Reproduction

Fly ash is an amorphous ferroalumino silicate, an important solid waste around thermal power plants. It creates problems leading to environmental degradation due to improper utilization or disposal. However, fly ash is a useful ameliorant that may improve the physical, chemical and biological properties of soils and is a source of readily available plant macro and micronutrients when it is used with biosolids. Supply of nutrients from fly ash with biosolids may enhance their agricultural use. The growth and reproduction ofEisenia fetidawas studied during vermicomposting of fly ash with cowdung and pressmud in four different proportions (T1,T2,T3& T4) and one controli.e.,cow dung and pressmud alone. The growth, cocoon and hatchlings production were observed at the interval of 15 days over a period of 60 days. The maximum worm growth and reproduction was observed in bedding material alone. Next to that the T1was observed as the best mixture for vermiculture.

Classification of fresh Atlantic salmon (Salmo salar L.) fillets stored under different atmospheres by hyperspectral imaging

2012 ◽  
Vol 109 (3) ◽  
pp. 482-489 ◽  
Author(s):  
Izumi Sone ◽  
Ragnar L. Olsen ◽  
Agnar H. Sivertsen ◽  
Guro Eilertsen ◽  
Karsten Heia
Keyword(s):  
Atlantic Salmon ◽  
Hyperspectral Imaging ◽  
Salmo Salar ◽  
Atlantic Salmon Salmo Salar

High Resolution Sequence Stratigraphic Frameworks Research in the XII Group of the Member III of Qing Shankou Formation in the Qian'an Oilfield

2013 ◽  
Vol 339 ◽  
pp. 728-731 ◽  
Author(s):  
Cun Lei Li ◽  
Lei Qin ◽  
Xue Li ◽  
Xi Long Zhang
Keyword(s):  
High Resolution ◽  
Stratigraphic Correlation ◽  
Short Term ◽  
Middle Term ◽  
Sequence Stratigraphic ◽  
Base Level ◽  
Mud Logging ◽  
High Resolution Sequence Stratigraphy ◽  
Symmetric Structures

With the instruction of the high resolution sequence stratigraphy and sedimentology theory, and the comprehensive application of 11 wells core, more than 800 mud logging and log data, high resolution sequence stratigraphic characteristics research in the XII Group of the Member III of Qing Shankou Formation in the Qianan oilfield has been finished. The results show that the study area can be divided into one middle-term base level cycle and five short-term base level cycles. The only sequence structure of middle term cycle is (B type) and the short term cycle mainly consists of B types meanwhile there are small mounts of upward deepening structures (A type) and symmetric structures (C type). Based on the classification of base-level cycles, fine stratigraphic correlation is conducted by using isochronous cycle correlations. In addition, 15 high resolution sequence stratigraphic frameworks are established which unify the study area and provide the solid geological basis for the sandstone distribution, the identification of mainly oil-bearing sand bodies and potential oil reservoirs.

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