Search results for "Near infrared reflectance"

showing 3 items of 3 documents

Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features

2009

The computer vision systems currently used for the automatic inspection of citrus fruits are normally based on supervised methods that are capable of detecting defects on the surface of the fruit but are unable to discriminate between different types of defects. identifying the type of the defect affecting each fruit is very important in order to optimise the marketing profit and to be able to take measures to prevent such defects from occurring in the future. In this paper, we present a computer vision system that was developed for the recognition and classification of the most common external defects in citrus. in order to discriminate between 11 types of defects, images of the defects we…

Multispectral dataComputer sciencebusiness.industryMachine visionMultispectral imagefood and beveragesSoil SciencePattern recognitionControl and Systems EngineeringBotanyNear infrared reflectanceArtificial intelligencebusinessAgronomy and Crop ScienceFood ScienceSkin damageCitrus fruitBiosystems Engineering
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Prototyping algorithm for retrieving FAPAR using MSG data in the context of the LSA SAF project

2007

This paper describes the prototyping algorithm developed for retrieving the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) using MSG data in the framework of satellite application facility on land surface analysis (LSA SAF). The prototyping relies on the Roujean and Breon (1995) method, which is based on simulations of visible and near infrared reflectance values in an optimal geometry. A relationship is found between a vegetation index and daily FAPAR The algorithm has been applied to one year of MSG BRDF data since August 2005, using a temporal frequency of 5-days, and then validated against a set of operational satellite FAPAR products such as MODIS, MERIS, SeaWiFS and …

SeaWiFSPixelMeteorologyPhotosynthetically active radiationEnvironmental scienceNear infrared reflectanceSatelliteContext (language use)Bidirectional reflectance distribution functionVegetation IndexAlgorithmRemote sensing2007 IEEE International Geoscience and Remote Sensing Symposium
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Near infrared reflectance spectroscopy (NIRS) characterization of European sea bass (Dicentrarchus labrax) from different rearing systems

2009

The present study aimed to predict by NIRS the proximate chemical composition and some carcass traits of sea bass coming from 11 farms with different rearing systems (extensive, intensive in land-based basins, sea cages) and located in northern (Friuli, Veneto), central (Tuscany) and southern (Puglia and Sicily) Italy. NIRS analysis of freeze dried sea bass fillets gave fairly good predictions of slaughter weight and fillet yield (R2cv=0.48-0.55), while results for carcass yield were poor. NIRS analysis was highly predictive for the condition factor (R2cv=0.790, SECV=0.09) and for water, ether extract and gross energy showing high correlations (R2cv>0.90) with NIR spectral infor- mation and…

biologySettore BIO/05 - ZoologiaAquatic animalProximatebiology.organism_classificationSlaughter weightSea bass �IRS Chemical composition Carcass traits Rearing systemFisheryCondition factorAnimal scienceScore plotAnimal Science and ZoologyDicentrarchusNear infrared reflectance spectroscopylcsh:Animal cultureSea bassSea bass NIRS Chemical composition Carcass traits Rearing systemlcsh:SF1-1100
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