Generation of weather windows to develop agro advisories for Tamil Nadu under automated weather forecast system

Abstract

With the objective of providing weather windows at block level of Tamil Nadu for developing agro advisories in respect of dominant crops, an exploratory research was conducted with four levels of rainfall, three levels of maximum temperature, three levels of minimum temperature, three levels of mean day relative humidity and three levels of wind speed. Adopting the permutation and combination methodology a total of 324 combinations from the identified levels of five weather elements were developed. Out of these combinations, 54 weather windows each with range of values for the identified weather elements were selected based on the validation of real-time weather data collected covering both temporal and spatial weather dimensions of the state.