The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Monitoring agricultural systems becomes increasingly important in the context of global
challenges like climate change, biodiversity loss, population growth, and the rising demand …

Remote sensing (RS) systems have been collecting massive volumes of datasets for
decades, managing and analyzing of which are not practical using common software …

Northeast China is one of the most major grain banks in China and has an overwhelming
influence on food security. To mitigate the challenges caused by increasing food demands …

Crop type map** at the field level is necessary for a variety of applications in agricultural
monitoring and food security. As remote sensing imagery continues to increase in spatial …

Closing the yield gap between actual and potential wheat yields in Australia is important to
meet the growing global demand for food. The identification of hotspots of the yield gap …

Land cover classification in remote sensing is often faced with the challenge of limited
ground truth labels. Incorporating historical ground information has the potential to …

Land use maps describe the spatial distribution of natural resources, cultural landscapes,
and human settlements, serving as an important planning tool for decision makers. In the …

Field-level monitoring of crop types in the United States via the Cropland Data Layer (CDL)
has played an important role in improving production forecasts and enabling large-scale …