Predictions And Estimations In Agricultural Production Under A Changing Climate — Volume Ii

Predictive analytics is increasingly being used in agriculture to improve and refine the management of any agricultural activity. It is used to describe large-scale processes and at the scale of individual crop fields, allowing for decisions such as harvesting date and plant protection treatments. Forecasting is becoming increasingly important under climate change, and tools such as classical statistical models, machine learning, GIS tools, satellite and aerial remote sensing, the Internet of Things, and big data are being used to support decision makers in key decision-making processes.