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 …

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 …

The monitoring of crop production and irrigation at a regional scale can be based on the use
of ecosystem process models and remote sensing data. The former simulate the time …

A broad scope of crop models with varying demands on data inputs is being used for several
purposes, such as possible adaptation strategies to control climate change impacts on future …

The application of crop simulation models to yield estimation on a regional scale is generally
constrained by the lack of spatially distributed information on major environmental and …

The use of crop models on large areas for diagnosing crop growing conditions or predicting
crop production is hampered by the lack of sufficient spatial information about model inputs …

In this study we investigated the perspective offered by coupling a simple vegetation growth
model and ground-based remotely-sensed data for the monitoring of wheat production. A …

The fast and accurate yield estimates with the increasing availability and variety of global
satellite products and the rapid development of new algorithms remain a goal for precision …

The derivation of leaf area index (LAI) from satellite optical data has been the subject of a
large amount of work. In contrast, few papers have addressed the effective model inversion …