Timely monitoring of crop lands is important in order to make agricultural activities more
sustainable, as well as ensuring food security. The use of Earth Observation (EO) data …

Timely and accurate estimation of crop yield before harvest to allow crop yields
management decision-making at a regional scale is crucial for national food policy and …

Reliable and timely crop-yield prediction and crop mapping are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …

CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …

Crop growth models simulate the relationship between plants and the environment to predict
the expected yield for applications such as crop management and agronomic decision …

To effectively meet growing food demands, the global agronomic community will require a
better understanding of factors that are currently limiting crop yields and where production …

Field experiments and simulation models are useful tools for understanding crop yield gaps,
but scaling up these approaches to understand entire regions over time has remained a …

Remote sensing is becoming an increasingly important tool for agriculturalists, ecologists,
and land managers for the study of Earth's agricultural and natural vegetation, and can be …

The scale mismatch between remote sensing observations and state variables simulated by
crop growth models decreases the reliability of crop yield estimates. To overcome this …

With advances in satellite, airborne and ground based remote sensing, reflectance data are
increasingly being used in agriculture. This paper reviews various remote sensing methods …