Impact of Climate Change on Global Food Supply using Machine learning Algorithms

Human life is significantly impacted by both agriculture and climate change. These effects of climatic variability, like severity of droughts, fires, storms, floods, have gradually come into view. Environmental resources and agricultural practices, on which we strongly rely, are altering as part of the whole ecosystem. As a result, one of the biggest problems faced by mankind today is climate change. Climate change poses a serious threat to global food supply, impacting crop yields and food security. Increasing temperatures, altered precipitation distributions, and extreme weather events disrupt agricultural systems. Urgent mitigation and adaptation strategies are essential to guarantee the sustainability of food production and address the evolving challenges induced by climate change. Machine learning may help society adjust to these changes while also reducing the negative impacts of changes in weather. Understanding how the climate is altering and, predicting how it will affect the world’s food supply/production in the long run is the main objective of this project.