THE THERAPEUTIC APPLICATION OF FACULTATIVE ANAEROBE SALMONELLA IN ONCOLOGICAL ADVANCES

Abstract

Climate change has been identified as a major factor affecting agricultural production in many regions of the world. This study explores the impact of climate change on agricultural production in the Sangli district of Maharashtra, India, using geospatial technology, and analysis of climate data collected from 48 points across the study area for 35 years. The study uses spatial interpolation to calculate seven climate parameters, namely annual precipitation, average annual air temperature, UNEP aridity index, rain erosivity, rain seasonality, wind speed, and potential evapotranspiration. The results indicate that changing spatio-temporal variations in precipitation have impacted agricultural production, with decadal variations in annual precipitation and fewer rainy days, while precipitation intensity and extreme precipitation days and extreme rainfall intensity remained relatively stable. The analysis of annual precipitation intensity trends is consistent while overall average temperature has increased. Additionally, different dry spell areas were observed at different time scales exhibited in the last 35 years due to variations in the precipitation values during the period. The results underscore the importance of understanding the impact of climate change on agricultural production and using geospatial technology to study climatic patterns to improve planning and interventions to address the challenges arising from climate change.