Background: The COVID-19 pandemic and subsequent lockdown have created unprecedented emergency and sudden distress on all sectors in India including the livestock sector. Among livestock sectors, dairy farming is more sensitive due to the handling of an essential and perishable commodity of milk.Methods: Under this pandemic situation, the aim of the study to know the constraints confronted and management practices followed by dairy farmers during the COVID-19 pandemic situation. The study was conducted in July 2020 in Cuddalore district of Tamil Nadu. Thirty dairy farmers were selected randomly and data were collected by a personal interview method through a well-structured interview schedule. Socio-economic data were analyzed by statistical methods viz. percentage, mean and standard deviation. Constraints of dairy farming were analyzed and ranked by Mean Weighed Score method and percentage analysis was used for analyzing and ranking management practices.Result: Socio-economic characterstics revealed that more than 86.66 per cent of dairy farmers were belonged low to medium groups and utilized different mass media tools for retrieving information. The constraints analysis revealed that high cost of concentrate feed foremost constraint with Mean Weighed Score of 50.00 were ranked first. Dairy farmers expressed difficultly in the procurement of concentrate, shortage of wheat bran supply and elevated wheat bran cost (MWS 44.44) second important constraints. Dairy farmer’s made alterations in the concentrate feed composition, consulted veterinary doctors over the phone and direct selling of milk as management practices to manage the pandemic situation.
The changing dynamics of life and other activities has encouraged the human society to move or migrate between regions of any country. The population in different region and state of India gets increasing and it is necessary for the planning commission to monitor the migrations incur
in every year. Number of approaches available for the prediction and analysis of migrations to perform several decision making but suffer to achieve higher performance. In this paper, an efficient time variant multi feature census analysis algorithm is presented. The method keeps track of
migrations made in every time stamp. The reasons and purpose of migration also being recorded every year like study, business, work, marriage and others. Using these features the method performs analysis on the ratio of migration in different aspects and predicts the ratio of migration. The
result of analysis would be used to perform several planning activities by the government. The method introduces higher performance in migration prediction.
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