Climate Change and Its Impact on Agriculture

Abstract

Changes in weather patterns are currently the greatest global challenge. Climate change has a detrimental impact on agriculture. The decline in yield and nutritional quality of crops is owing to several factors causing climate change. It has created a negative impact on some food crops, which could lead to food shortages shortly. Climate change, precipitation, greenhouse gas emissions, and natural disasters are all to blame for the effects. All of these negative effects harm the environment, which is the root source of environmental problems. Climate change is having a major impact on all life forms on earth, especially in agriculture. IoT devices built using machine learning algorithms have accelerated smart farming in different climates. Machine learning has made a significant contribution to data prediction and analysis in a variety of fields. It is a field of science where machines can acquire knowledge without being programmed. It has emerged in unison with big data technologies and high-performance machines to generate new avenues for unwinding, analyzing, and comprehending data-intensive farming activities. Machine learning is used in agro at all stages, from planting to reaping. The procedure includes land preparation, seed prognosis, weather forecasting, irrigation feed monitoring, and assisting robots in appraising the growth or ripening result. This chapter describes a global scenario for how climate change would affect agriculture, as well as a number of IoT tools used for 260smart farming including its challenges. The chapter also briefly explains how machine learning can be implemented to increase the production level in agriculture to changes in weather conditions.

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