Exhaustive Study of Median filter

Image filtering plays an important role to remove impulse (Salt and Pepper) noise from the images. The median filter which is a non - linear filter is very effective at removing noise while preserving image features and edges. In comparison to linear filter, they provide excellent noise reduction capabilities, with less blurring. The work ing of median filter is by removing the corrupted pixel value with the median value of neighboring pixel which is calculated by sorting all the pixel values from the window into ascending order. This paper presents a median filtering algorithm by using 3* 3 windows

Sustainable Agroecosystems for Livelihood Security in Indian Himalayas

Agroforestry systems are an age-old practice in the Indian Himalayan region. Agroforestry deals with the combination of tree species with crop plants, fisheries, animals, bee keeping, and so on, and it is based on the principle of optimum utilization of land. Agrihorticulture, silvihorticulture, hortipastoral, and silvipastoral systems are diversified land use options for agroforestry in the hill region. The study was conducted at experimental farm Hawalbagh (29o36′N and 79o 40′ E, 1250 m amsl) of Vivekananda Parvatiya Krishi Anusandhan Sansthan, Almora, India. Study in an agri-horti system revealed that ragi (Eluesine coracana) and soybean (Glysine max) during kharif (rainy season) and wheat (Triticum estivum) and lentil (Lens esculenta) during rabi (winter season) can be grown successfully with pecan nut (Carya illinoinensis) tree without significant reduction in the yield of the crop. However, grain yield of these crops was numerically higher in the field without pecan nut tree. In fruit-based agri-horti system four fruit crops, hill lemon (Citrus limon), pear (Pyrus communis), plum (Prunus domestica), and apricot (Prunus armeniaca) were planted with soybean in kharif and dual purpose wheat during rabi season. During initial years, no significant effect on grain yield was observed with the presence of different fruit trees. Green forage yield varied from 4600 to 5900 kg/ha in different treatments. In different treatments, ginger (Zingiber officinale) and turmeric (Curcuma longa), turmeric and taro (Colocasia esculenta), and two varieties of turmeric (Pant Pitabh and Swarna) were grown under Grewia optiva, Quercus leucotrichophora, Bauhinia variegata, and Celtis australis. Turmeric and ginger produced significantly higher yield (12.04 and 7.99 t/ha) under oak. The highest rhizome yield was obtained under Quercus leucotrichophora (11,738 kg/ha) followed by Bauhinia variegata. Pant Pitabh gave significantly higher yield (10,860 kg/ha) than swarna. Improved systems with five tree species, that is, Grewia optiva, Quercus leucotrichophora, Bauhinia retusa, Melia azedarach, and Morus alba and four grasses, that is, Setaria kazugulla, Setaria nandi, Congo signal, and Broad leaf paspalum (Paspalum spp.) were tested under the silvipastoral system. Quercus leucotrichophora yielded (10,675 kg/ha) significantly higher green biomass than others, and the lowest green biomass was harvested from Grewia optiva. Among grasses, Setaria nandi produced the highest green forage (6234 kg/ha). Thus, in hilly terrain, planting of interspatial woody perennials, with least negative influences on the agronomic crops, seems productive in agroforestry system for settled farming. Therefore, agroforestry is a set of land use alternative, which if developed for resource poor farmers, can provide increased values and reduced risks and it should be made more popular in the rural areas

Biomarker responses (serum biochemistry) in pregnant female wistar rats and histopathology of their neonates exposed prenatally to pesticides

Experiments were conducted to investigate the effects on health of pregnant female rats exposed to pesticides glyphosate and carbendazim. Glyphosate is used as herbicide and carbendazim as a fungicide; all are commercially available readily for various agricultural and domestic purposes. The hypothesis tested in this investigation is that pesticide exposure during pregnancy causes changes in biomarker responses like serum glucose level, total protein, total cholesterol, triglycerides, SGOT, SGPT, and billirubin level. Significant changes were observed in all above biomarker responses, when compared with the reference. Histopathology of skin and kidney of rat neonates showed marked damage. Degenerative changes and vacuolization with eroded capsule were observed in kidney sample and thinning of epidermis in skin sample was seen in pesticides exposed neonates of rats. The serum biochemistry and histopathological findings are valuable markers for observing the changes caused by pesticide exposure

Evaluation of digital elevation model in hilly region of Uttarakhand: A case study of experimental farm Hawalbagh

Not AvailableDigital Elevation Model (DEM) is used to display terrestrial information on map. Moreover, DEMs are often used in geographic information systems (GIS), and serve as a basis for generation of relief map. The present study was conducted to evaluate the google earth (GE) derived DEM with three established open source DEMs such as, shuttle radar topographic mission (SRTM) DEM, advanced space borne thermal emission and reflection radiometer (ASTER) DEM and advanced land observing satellite phased array type l−band synthetic aperture radar (ALOS PALSAR) DEM. The study area of present research is experimental farm, Hawalbagh of the ICAR− Vivekananda Parvatiya Krishi Anusandhan Sansthan (VPKAS), Almora, India which lies in middle Himalayas using online tool (GPS visualizer). The accuracy statistics were evaluated using 100 points in the study area having varying topography with three DEMs such as, SRTM DEM, ASTER DEM and ALOS PALSAR DEM. The result showed that google earth data was positively correlated with all established 2 DEM with r value of 0.88 for SRTM, 0.92 for ALOS PALSAR Dem and 0.83 for ASTER DEM. The result showed that the accuracies for the google earth derived DEM is suitable for hydrological and other water resources modelling.Not Availabl

Non-equilibrium effects in the magnetic behavior of Co_3O_4 nanoparticles

We report detailed studies on non-equilibrium magnetic behavior of antiferromagnetic Co_3O_4 nanoparticles. Temperature and field dependence of magnetization, wait time dependence of magnetic relaxation (aging), memory effects and temperature dependence of specific heat have been investigated to understand the magnetic behavior of these particles. We find that the system shows some features characteristic of nanoparticle magnetism such as bifurcation of field cooled (FC) and zero field cooled (ZFC) susceptibilities and a slow relaxation of magnetization. However, strangely, the temperature at which the ZFC magnetization peaks coincides with the bifurcation temperature and does not shift on application of magnetic fields up to 1 kOe, unlike most other nanoparticle systems. Aging effects in these particles are negligible in both FC and ZFC protocol and memory effects are present only in FC protocol. We estimate the N\'eel temperature by using Fisher's relation as well as directly by measurement of specific heat, thus testing the validity of Fisher's relation for nanoparticles. We show that Co3O4 nanoparticles constitute a unique aniferromagnetic system which develops a magnetic moment in the paramagnetic state because of antiferromagnetic correlations and enters into a blocked state above the N\'eel temperature.Comment: 6 pages,7 figure