1,754 research outputs found

    Managing Risk in Agriculture under Drought Situation in Uttar Pradesh: A Case Study

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    From a case study under the village level study (VLS), it has been found that in the drought agriculture year 2002-03, the farmers of Uttar Pradesh followed their best choice and own outlook for risk aversion and invariably preferred those crops and techniques which involved damage control and low investment and provided insurance against loss. The water harvesting for irrigation, intercropping, growing of low-value crops, high concentration for fodder and grain rather than grain alone, and preferential low-use of monetary inputs are some of the means commonly used by the farmers during droughts. It has been concluded that rainfall probability analyses would be a component of agricultural managing/ reducing risk while large area of the Indo-Gagetic plains is falling in the state. The major weakness in generating this type of information and analysis is that it provides no specific information about the upcoming season with which the farmer must deal. Some suggestions have been given to mitigate risk in agriculture. Need has been pointed out for preparing a draught vulnerability index for different districts. It has been realized that the IMD’s monsoon forecast methodology needs some serious re-thinking. The intensive climate information /farmer interface intensification of watershed programme; tighter agriculture risk management, and sustained crop diversification will have to be considered. It has been suggested that the preparedness measures can be taken by two different agencies: the assisting agency, and the drought-prone areas themselves. Drawing on field information assembled from drought relief performance, state government may develop a way of drawing inference from experience. A particular activity in drought situation should be analyzed and assessed by degree of success, with the region given for the results. These judgments may be recorded and filed in a retrieval system called ‘lessons learnt’; which could be used as a useful reference source in deciding such question as what quantities are required to care for a particular number of people under a particular kind of environment or situation. The contingency plan for drinking water, irrigation water, food security, cropping system, drought warning system and research on drought- resistant varieties of crops may be updated.Agricultural and Food Policy,

    Structural, Optical, Photoluminescence and Electroluminescence Properties of Small ZnO Nanocrystals for Optoelectronic Device Applications

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    In this study, zinc oxide (ZnO) has been prepared by chemical precipitation method using zinc acetate as precursor, poly vinyl pyrrolidone (PVP) as capping agent and deionised water as a solvent. X- ray diffraction (XRD), scanning electron microscopy (SEM), ultra violet visible (UV-Vis) absorption, photoluminescence (PL), and electroluminescence (EL) have been performed to characterize the structural, morphological and optical nature of the samples, respectively. X-Ray diffraction indicates that all of the as obtained samples have a pure phase (hexagonal wurtzite structure). Crystallite size has been calculated by Debye Scherrer formula and Lattice strain has been calculated by Williomson Hall equation. Cell volume, Lorentz factor, Lorentz polarization factor, lattice constants and crystal lattice distortion degree (R) and morphology index (MI) have also been studied. The average particle size has also been calculated by Brus equation by using UV-Visible absorption peak. An electroluminescence spectrum of ZnO nanocrystals has also been studied

    A Review of Object Visual Detection for Intelligent Vehicles

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    This paper contains the details of different object detection (OD) techniques, object iden-tification's relationship with video investigation, and picture understanding, it has pulled in much exploration consideration as of late. Customary item identification strat-egies are based on high-quality highlights and shallow teachable models. This survey paper presents one such strategy which is named as Optical Flow method (OFM). This strategy is discovered to be stronger and more effective for moving item recognition and the equivalent has been appeared by an investigation in this review paper. Applying optical stream to a picture gives stream vectors of the focuses comparing to the moving items. Next piece of denoting the necessary moving object of interest checks to the post-preparing. Post handling is the real commitment of the review paper for moving item identification issues. Their presentation effectively deteriorates by developing com-plex troupes which join numerous low-level picture highlights with significant level set-ting from object indicators and scene classifiers. With the fast advancement in profound learning, all the more useful assets, which can learn semantic, significant level, further highlights, are acquainted with address the issues existing in customary designs. These models carry on contrastingly in network design, preparing system, and advancement work, and so on in this review paper, we give an audit on profound learning-based item location systems. Our survey starts with a short presentation on the historical backdrop of profound learning and its agent device, in particular, Convolutional Neural Network (CNN) and region-based convolutional neural networks (R-CNN)

    Bulk Viscous Cosmological Models in Barber's Second Self Creation Theory

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    Barber's second self creation theory with bulk viscous fluid source for an LRS Bianchi type-I metric is considered by using deceleration parameter to be constant where the metric potentials are taken as function of xx and tt. The coefficient of bulk viscosity is assumed to be a power function of the mass density. Some physical and geometrical features of the models are discussedComment: latex, 10 pages, submitted in Int. J. Mod. Phys.

    A family of estimators of population mean using multi-auxiliary variate and post-stratification

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    This paper suggests a family of estimators of population mean using multiauxiliary variate based on post-stratified sampling and its properties are studied under large sample approximation. Asymptotically optimum estimator in the class is identified alongwith its approximate variance formulae. The proposed class of estimators is also compared with corresponding unstratified class of estimators based on estimated optimum value. At the end, an empirical study has been carried out to support the proposed methodology

    EMULGEL EMERGENT SYSTEMS: AT A GLANCE FOR TOPICAL DRUG DELIVERY

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    Emulgels have been emerged both in cosmetics and pharmaceutical preparations. When gel and emulsion are used in the combined form, they are referred to as Emulgel. Emulgel is a promising drug delivery system for the delivery of hydrophobic drugs. Emulgel is an emulsion that is gelled by mixing it with gelling agents. Many advantages of gels have the major limitation of delivery of hydrophobic drugs. Hence, the emulsion-based approach is being used to overcome this limitation. Emulgel is an interesting topical drug delivery system as it has a dual release control system, i.e., gel and emulsion. The use of gels and emulsions as combined dosage form results in the formation of emulgel showing dual release. With this approach, polymers with enhanced effect in release patterns have emerged, providing sustained and controlled release. They are generally applied for antiseptics, antifungal agents, skin emollients, and protectants. The activity of topical preparation confides in various factors such as drug solubility, lipophilicity, contact time to the skin, and permeability. Emulgels have numerous advantages in dermatology, such as being thixotropic, greaseless, easily spreadable, easily removable, emollient, nonstaining, long shelf life, bio-friendly, transparent and pleasing appearance. Emulgel is being used to deliver analgesics, anti-inflammatory, antifungal, anti-acne drugs, and various cosmetic formulations with a wide range to explore

    Design of near-perfect-reconstructed transmultiplexer using different modulation techniques: A comparative study

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    AbstractIn this paper, an efficient iterative method for design of near-perfect reconstructed transmultiplexer (NPR TMUX) is proposed for the prescribed roll-off factor (RF) and stop band attenuation (As). In this method, windowing technique has been used for the design of prototype filter, and different modulation techniques have been exploited for designing multi-channel transmultiplexer (TMUX). In this method, inter-channel interference (ICI) is iteratively minimized so that it approximately reduces to ideal value zero. Design example is given to illustrate the superiority of the proposed method over earlier reported work. A comparative study of the performance of different modulation techniques for designing TMUX is also presented
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