Accurate, historical, and continuous global crop yield data are essential for assessing risks to the global food system. However, existing datasets often have limited spatial and temporal resolution.

Before yield monitors, farmers knew where to find the best- and worst-yielding areas of each field. After yield monitors came along, farmers knew the yield from pass to pass, but didn’t have a map of ...

Agricultural research increasingly relies on data-driven approaches for crop yield prediction that complement more established crop growth models, including machine learning techniques. However, these ...

Trimble has introduced yield monitoring and mapping capabilities, allowing combines equipped with a Trimble AgGPS FmX integrated display to accurately monitor and map harvested crop yield and moisture ...