GRS - Optimising crop predicted and produced yield through an intuitive and cost-effective decision support tool.

Abstract

This collection consists of datasets and scripts from three main components: (1) observations, (2) APSIM sensitivity analysis results and (3) APSIM ensemble steered simulation Data Assimilation outputs. The observations are collected field data on plant status ( Leaf Area Index (m3/m3), Aboveground Biomass (kg/m2) and leaf N (%)), soil moisture readings, yield data, and height and reflectance values from remote sensing of two wheat cropping experiments (2019 and 2020) at four key phenological stages of wheat growth (booting, pre-anthesis, post-anthesis and grain filling). The experiment was conducted at the Plant Breeding Institute-USyD at Narrabri, NSW.