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1.
J Environ Sci Eng ; 51(1): 13-6, 2009 Jan.
Article in English | MEDLINE | ID: mdl-21114148

ABSTRACT

A pot culture study was carried out at Avinashilingam Deemed University, Coimbatore to assess the effect of few organic manures (herbal microfertilizer, humic acid, farm yard manure (FYM), biofertilizer) and NPK on the growth attributes of carrot. Among the parameters observed, the germination percentage was highest in FYM treated pots on 7 DAS (Days After Sowing) and in NPK treated pots on 21, 28 and 30 DAS. The parameters, such as root length, crown length and vigour index, were studied on 30, 60, 90 and 120 DAS. The root length on 60 and 120 DAS was increased by FYM, whereas on 30 and 90 DAS, increase was observed in NPK treated plants. The crown length was increased by NPK on 30 and 120 DAS, micro herbal fertilizer showed an increase of crown length on 60 DAS and by FYM on 90 DAS. Highest vigour was in FYM treated plants on 30 DAS, in herbal micro fertilizer on 60 DAS in NPK treatment on 90 and 120 DAS.


Subject(s)
Daucus carota/growth & development , Fertilizers , Manure , Daucus carota/drug effects , Germination/drug effects , Plant Extracts/pharmacology , Plant Roots/drug effects
2.
J Med Syst ; 31(3): 210-8, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17622024

ABSTRACT

This paper proposes a novel approach for automating the analysis of identifying the person based on their ante mortem and postmortem reports. This approach involves three techniques (i.e.) morphological contour detector, Gaussian filtering and an existing semi-automatic contour extraction method. Forensic dentistry involves the identification of people based on their dental records, mainly available as radiograph images. Our goal is to automate this process using image processing and pattern recognition techniques. Given a postmortem radiograph, we search a database of antemortem radiographs in order to retrieve the closest match with respect to some salient features. In this paper, we use the contours of the teeth as the feature for matching. The algorithm completes the task in three steps: radiograph segmentation, pixel classification and contour matching. In this paper a hit rate of 0.7 is achieved by the Morphological contour detectors which are comparable with the other two methods.


Subject(s)
Forensic Dentistry/methods , Pattern Recognition, Automated/methods , Radiographic Image Interpretation, Computer-Assisted/methods , Tooth/diagnostic imaging , Algorithms , Automation , Biometry/methods , Dental Records , Forensic Dentistry/statistics & numerical data , Humans , Software
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