Afonso et al., 2018 - Google Patents

Assessing the potential use of two portable chlorophyll meters in diagnosing the nutritional status of plants

Afonso et al., 2018

View PDF
Document ID
3225008039671288966
Author
Afonso S
Arrobas M
Ferreira I
Rodrigues M
Publication year
Publication venue
Journal of plant nutrition

External Links

Snippet

The SPAD-502 and the FieldScout CM 1000 chlorophyll meters were compared in their performance in diagnosing the nutritional status of plants. Leaves of a wide range of greenness were used to push the sensitivity of the tools to their limits. Both devices showed …
Continue reading at bibliotecadigital.ipb.pt (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314—Investigating 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
    • G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G1/00—Horticulture; Cultivation of vegetables
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B1/00—Hand tools
    • A01B1/06—Hoes; Hand cultivators
    • A01B1/065—Hoes; Hand cultivators powered
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G01N21/359—Investigating 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
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01B—SOIL WORKING IN AGRICULTURE OR FORESTRY; PARTS, DETAILS, OR ACCESSORIES OF AGRICULTURAL MACHINES OR IMPLEMENTS, IN GENERAL
    • A01B79/00—Methods for working soil

Similar Documents

Publication Publication Date Title
Frels et al. Evaluating canopy spectral reflectance vegetation indices to estimate nitrogen use traits in hard winter wheat
Afonso et al. Assessing the potential use of two portable chlorophyll meters in diagnosing the nutritional status of plants
Barker et al. Using active canopy sensors to quantify corn nitrogen stress and nitrogen application rate
Morlin Carneiro et al. Comparison between vegetation indices for detecting spatial and temporal variabilities in soybean crop using canopy sensors
Prey et al. High-throughput field phenotyping traits of grain yield formation and nitrogen use efficiency: optimizing the selection of vegetation indices and growth stages
Thapa et al. Use of NDVI for characterizing winter wheat response to water stress in a semi-arid environment
Kipp et al. High-throughput phenotyping early plant vigour of winter wheat
Zhao et al. Canopy reflectance in cotton for growth assessment and lint yield prediction
Raper et al. Canopy‐based normalized difference vegetation index sensors for monitoring cotton nitrogen status
Girma et al. Mid-season prediction of wheat-grain yield potential using plant, soil, and sensor measurements
Freeman et al. Late-season prediction of wheat grain yield and grain protein
Dunn et al. Relationship between chlorophyll meter readings and nitrogen in poinsettia leaves
Kawamura et al. Potential for spectral indices to remotely sense phosphorus and potassium content of legume-based pasture as a means of assessing soil phosphorus and potassium fertility status
Bronson et al. Cotton canopy reflectance at landscape scale as affected by nitrogen fertilization
Muharam et al. Inter-relationships of cotton plant height, canopy width, ground cover and plant nitrogen status indicators
Reyniers et al. Measuring wheat nitrogen status from space and ground‐based platform
Zhao et al. Relationships of leaf nitrogen concentration and canopy nitrogen density with spectral features parameters and narrow-band spectral indices calculated from field winter wheat (Triticum aestivum L.) spectra
Sexton et al. Comparison of SPAD chlorophyll meter readings vs. petiole nitrate concentration in sugarbeet
Nguy-Robertson et al. Using a simple leaf color chart to estimate leaf and canopy chlorophyll a content in Maize (Zea Mays)
Dunn et al. Effects of nitrogen, phosphorus, and potassium on SPAD-502 and atLEAF sensor readings of Salvia
Sanches et al. Seasonal prediction of in situ pasture macronutrients in New Zealand pastoral systems using hyperspectral data
Rodrigues et al. Response of stevia to nitrogen fertilization and harvesting regime in Northeastern Portugal
Bushong et al. Effect of nitrogen fertilizer source on corn (Zea mays L.) optical sensor response index values in a rain-fed environment
Kelly et al. By-plant prediction of corn (Zea mays L.) grain yield using height and stalk diameter
Gutierrez et al. Effect of leaf and spike morphological traits on the relationship between spectral reflectance indices and yield in wheat