Leaf area growth determines the light interception capacity of a crop and is often used as a
surrogate for plant growth in high-throughput phenotyping systems. The relationship …

Crop models can aid the synthesis and application of knowledge, planning of experiments
and forecasting in agricultural systems. Few studies have reviewed the uses and …

The sugarcane crop has great socioeconomic relevance because of its use in the production
of sugar, bioelectricity, and ethanol. Mainly cultivated in tropical and subtropical countries …

Crop yield models can assist decision makers within any agro-industrial supply chain, even
with regard to decisions that are unrelated to the crop production. Considering the …

The ability to estimate sugarcane yield is an important factor to improving the planning
capacity of public and private sectors, and so food and energy security. One way of …

Crop models can be used for predicting climate change impacts and exploring adaptation
strategies, but their suitability for such tasks needs to be assessed. Although the DSSAT …

The algorithms for determining sugarcane harvest dates are proposed; the algorithms allow
the ability to monitor large areas and are based on the publicly available Synthetic Aperture …

Brazil is the largest producer of sugarcane (Saccharum spp.) in the world, and this crop's
response to climate and soil water storage is essential for optimal management and …

Irrigation is necessary to help meet the high demand for water by sugarcane in several
countries including Brazil and Australia. The crop irrigation requirements are typically …

Core Ideas We propose an approach for simulating effects of parameter and input variable
uncertainties in crop models. The GLUE was useful for estimating the parameter correlation …