K B Umesh’s scientific contributions

... Diagnostic checks on residuals were carried out using autocorrelation function (ACF) and partial autocorrelation function (PACF) plots to ensure that the residuals exhibited the characteristics of white noise, confirming the suitability of the models for forecasting. This diagnostic approach has been validated in various studies, including those by Ahmar et al. (2023), Umesh et al. (2023) and Kulkarni et al. (2018). Table 2 presents a comprehensive analysis of the , the average area was 305.11 thousand hectares, which increased to 322.14 thousand hectares in Period II (1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000), and further rose to 399.44 thousand hectares in Period III . ...

Reference:

Modelling and Forecasting of Sugarcane (Saccharum officinarum L.) Area, Production and Yield in Eastern Uttar Pradesh using ARIMA: A Data-Driven Approach to Sustainability

... A dynamic nonseparable household model which addresses the challenge of omitted production variables on diet quality regression equation was developed which uses planting and harvest season data to improve the determination of production-consumption elasticity estimates. This model differentiates between the timing of seasonal production decisions to understand the effect of planting period production decisions on post-harvest diet quality within a full agricultural season, t (Vijayalaxmi et al., 2020). Following the dynamic agricultural household model as presented by Dillon et al. (2015), households maximize expected utility given the production function Q t ð Þ, time endowment E L � � and intertemporal budget constraint (Equation 4). ...

Reference:

Linking farm production to household diets: Evidence from two low potential areas in Kenya