Suchergebnisse

Not Available ; In India, Maharashtra state, offers vast scope for development of brackish water aquaculture. A study was done in order to analyse if there is a gender gap in this industry. Study has revealed that in shrimp farming during 1990's, participation of women was seen in pond construction, seed collection, feed making and many post-harvest activities. However, with modernization, all jobs in which women were involved have been eliminated. There are 165 registered shrimp farms in Maharashtra and 6% are registered on women's name but at ground level these are run by the men. Study has shown that in shrimp farming, which is a sunrise industry, participation of women, is minuscule and gender gap exists. Reasons for gender gap in shrimp farming are lack of skill, high investments, high risk, remote location of farms and lack of favourable policies. Masculinity of capital seems to have inclined towards investing resources among men. However, the effort to bring women aquafarmers into the mainstream is under progress in India and one such change is that every year 15th October is celebrated as National Women Farmer's Day by the Government of India. It is expected that this inclusive approach, from formation of policy to implementation will bring women into the mainstream of brackish water shrimp farming. ; Not Available

Not Available ; A study was conducted to assess the constraints faced by ornamental fish producers in Mumbai and Thane districts of Maharashtra state. A total of 30 ornamental fish producers out of 90 were taken as sample for the study and data was collected through semi-structured interview schedule. Constraints faced by them were classified as production constraints, knowledge constraints, marketing constraints and financial constraints. It was found that less water supply, less availability of live food and unsubsidized electricity supply were the main constraints. Low selling price of fish and large number of middlemen were hindering factors in marketing of ornamental fish. Also, lack of special trainings, non-availability of crop insurance schemes and less credit facility were other major constraints faced by ornamental fish producers. Constraints faced by them need to be effectively addressed by Government and policy makers. Continuous supply of water, availability of live food and supply of electricity at a rate par with agriculture sector is needed. Marketing of fish by forming marketing cooperative societies and innovative ways like mobile apps should be explored. Organization of special trainings in the field of breeding technology, live food development and health management are needed. State Government can pursue crop insurance schemes and banks/other financial institutions on offer credits. ; Not Available

Internet of Things (IoT) based smart devices are the core elements for any smart environment. The sensors and actuators make the life easier when they are connected to one another and to the Internet. The Smart city and 'Swach Bharath Abhiyan' projects introduced by the Government of India tried to promote clean and hygienic Environment. The constant growth of population, industrialization and urbanization increase the unorganized manner of dumping the solid waste in landfills. Smart waste management is the must in all countries due to the voluminous generation of solid waste. In this paper, a methodology for monitoring the dustbins in smart cities, household or organization is proposed. The dustbins are monitored very often to check the garbage level. Whenever the dustbins reach maximum level, alert will be sent to the corresponding authorities with the bin details to dispose the waste. Additionally, the gas sensors in the dustbins detect the bad smell and alert when it reaches the threshold level though the garbage level will not reach the dustbin's maximum capacity. The areas which require emptying the dustbins very often area also identified. Large-scale implementation of the system will promote a clean and hygienic environment.

Not Available ; COVID-19 (Coronavirus disease 19) is the deadliest pandemic, and by August 2, >18.2 million population worldwide were infected with SARS-CoV-2 virus causing burden on human life and economic loss. Disease outbreak analysis has become a priority for the Indian government to initiate necessary healthcare measures in lowering the impact of this deadly pandemic viral disease. In this study, time series data for COVID-19 disease was extracted from the website www.covid19india.org, analysed by using periodic regression model, the expected number of cases till 02 October 2020 was predicted and to develop a stochastic models using periodic regression in the top 15 highly infected states in India. The analysis reported increasing pattern at initial days of prediction and showed a decreasing trend for the number of reporting cases, which may reduce in future days for states like West Bengal, Karnataka, Uttar Pradesh, Bihar, Telangana, Assam and Odisha. However, for the states of Maharashtra, Tamil Nadu, Gujarat, Rajasthan, Haryana and Madhya Pradesh, showed a rapid phase of increase in disease outbreak that is likely to infect more population and indicates the pandemic nature of this disease over a period. Presently, Delhi shows a drastic reduction in the number of cases, that may increase in the future, which can be controlled if appropriate preventive measures are followed strictly and effectively. Our model highlights that continuous and constant efforts are needed for the prevention of new infections of the disease in all states that helps to effectively mitigate the disease and to allocate scarce resources effectively in the future that could improve the economic wealth in India. ; Not Available