saurabh yadav

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Managing Social Distancing using Smart Detector

Journal of Management and Service Science (JMSS)

This paper presents a methodology for social distance detection using deep learning models and al... more This paper presents a methodology for social distance detection using deep learning models and algorithms such as YOLO and CNN. Deep learning is one of those technologies which have greatly enhanced the overall experience of the technology that humans use. Deep learning has brought a lot of changes from self-driven cars made by Tesla to the smallest object detection model. Deep learning, artificial intelligence, and machine learning provide a way to be able to put things to use. The purpose of this paper is to be able to implement real-time object detection to detect social distancing.

Prospects of genetic engineering utilizing potential genes for regulating arsenic accumulation in plants

Chemosphere, Jan 25, 2018

The rapid pace of industrial, agricultural and anthropogenic activities in the 20 century has res... more The rapid pace of industrial, agricultural and anthropogenic activities in the 20 century has resulted in contamination of heavy metals across the globe. Arsenic (As) is a ubiquitous, naturally occurring toxic metalloid, contaminating the soil and water and affecting human health in several countries. Several physicochemical methods exist for the cleanup of As contamination but these are expensive and disastrous to microbes and soil. Plant based remediation approaches are low cost and environmentally safe. Hence, extensive biochemical, molecular and genetic experiments have been conducted to understand plants' responses to As stress and have led to the identification of potential genes. The available knowledge needs to be utilized to either reduce As accumulation in crop plants (rice) or to enhance As levels in shoots of hyperaccumulators (Pteris vittata). Gene manipulation using biotechnological tools can be an effective approach to exploit the potential genes (plasmamembrane a...

Suitability of Nano-sulphur for Biorational Management of Powdery mildew of Okra (Abelmoschus esculentus Moench) caused by Erysiphe cichoracearum

Journal of Plant Pathology & Microbiology, 2013

Performance analysis of a fully textured hybrid circular thrust pad bearing system operating with non-Newtonian lubricant

Tribology International, 2014

Effect of Air Pollutants in Biochemical Parameters of Selected Plant Species of Jhansi City (Uttar Pradesh

Though water and land pollution is very dangerous, air pollution has its own peculiarities, due t... more Though water and land pollution is very dangerous, air pollution has its own peculiarities, due to its transboundary dispersion of pollutants over the entire world. Air pollution is one of the serious problems faced by the people globally, especially in urban areas of developing countries like India. All these in turn lead to an increase in the air pollution levels and have adverse effects on the health of people and plants. Variations in biochemical parameters can be used as indicators of air pollution. Analysis data reveals that SPM and RSPM level were exponentially higher during winter season. The concentration of SO 2 and NO x was greatly influenced by the automobile emission. Higher concentration of SO 2 and NO x was found in commercial area as well as heavy traffic street area while NO x concentration was found higher than SO 2. The content of chlorophyll in all the seasons in plants was higher in residential area than commercial area and heavy traffic street area. The average pheophytin content in plant leaves at all the location in winter was higher than chlorophyll content, which indicates the conversion of chlorophyll to pheophytin or reduced biosynthesis. Carotenoids content was maximum in monsoon and minimum in winter at all locations. Protein content was highest in both plants species in monsoon at all the locations, and the minimum reduction was found in both plants in winter at all the locations where the pollution level was comparatively high. POD activity was lowest in monsoon and highest in winter at all the locations. An increase in POD activity was observed at commercial and heavy traffic street location comparison to residential locations. This study observed the effect of air pollution on Peepal (Ficus religiosa) and Ashok (Polyalthia longifolia) as well as the suitability of selected plants as intermediate tolerant species to pollution.

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