The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on 30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients and multiple linear regression applied for prediction and autocorrelation and autoregression have been used to improve the accuracy. The predicted number of cases shows a good agreement with 0.9992 R-squared score to the actual values. The finding suggests that lockdown and social distancing are two important factors that can help to suppress the increasing spread rate of COVID-19.
Agriculture is the backbone of any developing country for their sustainable development. So, it is our responsibility to educate the society regarding the sustainable development of agriculture. In the last 10-15 years, technology has been developing at a rapid speed. Various researchers are giving more emphasis to applying technology to agriculture. This is called smart farming. Smart farming uses computer technology and communication for greater yield and production of crops. This chapter studies the various technological developments in the field of smart farming. A few of them are related to internet of things (IOT), wireless communication, irrigation system, and agriculture automation. This chapter helps the new researchers in the field of smart farming to understand the current technological developments.
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