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 Agricultural Production Systems Simulator (APSIM) is a modular modelling framework
that has been developed by the Agricultural Production Systems Research Unit in Australia …

Rice (Oryza sativa L.) is a staple cereal crop and its demand is substantially increasing with
the growth of the global population. Precisely predicting rice yields are of vital importance to …

Agricultural systems science generates knowledge that allows researchers to consider
complex problems or take informed agricultural decisions. The rich history of this science …

Agricultural systems models worldwide are increasingly being used to explore options and
solutions for the food security, climate change adaptation and mitigation and carbon trading …

Abstract From 1990, the Agricultural Production Systems sIMulator (APSIM) has grown from
a field-focused farming systems framework used by a small number of people, into a large …

The decision support system for agrotechnology transfer (DSSAT) has been in use for the
last 15 years by researchers worldwide. This package incorporates models of 16 different …

In this review, we present the recent developments and future prospects of improving
nitrogen use efficiency (NUE) in crops using various complementary approaches. These …

A substantial increase in grain yield potential is required, along with better use of water and
fertilizer, to ensure food security and environmental protection in future decades. For …

Agroforestry—the practice of growing trees and crops in interacting combinations—is
recognized worldwide as an integrated approach to sustainable land-use. It is estimated to …