Abstract

Gamma-ray bursts (GRBs) are immensely energetic explosions that have been observed in distant galaxies. This signatures from distant stars helps in carrying out spatial mapping of physical parameters related to soil properties, such as soil temperature. In investigating the effect of gamma-ray burst on the agricultural soil temperature, we used gamma-ray bursts (GRBs) data collected for some period of time to carry out some estimations. Linear regression analysis was carried out using the soil temperature and the GRBs arrival time, . There is an exponential relationship between temperature and time as the soil is heated. This depicts an exponential curve that was fitted into a line; and the slope at any point on the line gives the rate of cooling, which is a determining factor for the time it takes for the soil to adjust between its high and low temperature. The thermal flux which relates to soil temperature is expected to decay at late times. The cooling rate reflects the degree of fall of temperature with time; and the higher the cooling rate, the shorter the time it takes for the soil to readjust its temperature between the upper and the lower ranges of thermal states. Thus the role of gamma-ray bursts in the management of agro-ecosystem is now becoming a reality.

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