[go: up one dir, main page]

Rasool et al., 2020 - Google Patents

Evaluation of some non-invasive approaches for the detection of red palm weevil infestation

Rasool et al., 2020

View HTML
Document ID
800805006044938662
Author
Rasool K
Husain M
Salman S
Tufail M
Sukirno S
Mehmood K
Farooq W
Aldawood A
Publication year
Publication venue
Saudi Journal of Biological Sciences

External Links

Snippet

Red palm weevil (RPW) causes severe damage to date palm trees, leading to the death of trees if not detected and treated in time. A major obstacle in RPW control is the difficulty in identifying an early stage infestation In the present study, we measured the efficacy of some …
Continue reading at www.sciencedirect.com (HTML) (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155Measuring in two spectral ranges, e.g. UV and visible
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G01N21/359Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light using near infra-red light
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/65Raman scattering
    • G01N2021/653Coherent methods [CARS]
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02Investigating or analysing materials by specific methods not covered by the preceding groups food
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/84Systems specially adapted for particular applications

Similar Documents

Publication Publication Date Title
Rasool et al. Evaluation of some non-invasive approaches for the detection of red palm weevil infestation
Payne et al. Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review
Biancolillo et al. Determination of insect infestation on stored rice by near infrared (NIR) spectroscopy
Alisaac et al. Hyperspectral quantification of wheat resistance to Fusarium head blight: Comparison of two Fusarium species
Barreto et al. Hyperspectral imaging of symptoms induced by Rhizoctonia solani in sugar beet: Comparison of input data and different machine learning algorithms
Bauriegel et al. Hyperspectral and chlorophyll fluorescence imaging for early detection of plant diseases, with special reference to Fusarium spec. infections on wheat
Zhang et al. Assessing crop damage from dicamba on non‐dicamba‐tolerant soybean by hyperspectral imaging through machine learning
Mirik et al. Spectral vegetation indices selected for quantifying Russian wheat aphid (Diuraphis noxia) feeding damage in wheat (Triticum aestivum L.)
Yeh et al. Strawberry foliar anthracnose assessment by hyperspectral imaging
Xiaobo et al. Non-invasive sensing for food reassurance
Zhang et al. Discrimination of winter wheat disease and insect stresses using continuous wavelet features extracted from foliar spectral measurements
Dhanani et al. Raman spectroscopy detects changes in carotenoids on the surface of watermelon fruits during maturation
Hahn Actual pathogen detection: sensors and algorithms-A review
Liang et al. Nondestructive detection of zebra chip disease in potatoes using near-infrared spectroscopy
Ahmed et al. Detection of palm tree pests using thermal imaging: A review
Mohammed et al. Weevil, Rhynchophorus ferrugineus (Olivier)
Ahmad et al. Monitoring insect pest infestation via different spectroscopic techniques
Burks et al. Measuring fig quality using near-infrared spectroscopy
Jales et al. Infrared spectroscopy and forensic entomology: Can this union work? A literature review
Zude-Sasse et al. Sensing in precision horticulture
Ekramirad et al. A review of non-destructive methods for detection of insect infestation in fruits and vegetables
Galieni et al. Surveying soil-borne disease development on wild rocket salad crop by proximal sensing based on high-resolution hyperspectral features
Lamine et al. Remote sensing in precision agriculture: Transforming scientific advancement into innovation
Wang et al. Monitoring the infection of powdery mildew pathogen on strawberry leaves by ATR‐IR technique
Baeten et al. 13 Applications of near-infrared imaging for monitoring agricultural food and feed products