A.F. Colaço1*, R.G.V. Bramley1
1 CSIRO – Agriculture and Food, Waite Campus, Locked Bag
2, Glen Osmond, SA 5064, Australia. *email@example.com
Classical small plot experimental designs are limited in the number of factors they can sensibly consider and so may not be the best experimental strategy for developing and validating multivariate sensor-based N decision models. In this paper, we present a spatially distributed on-farm experimental approach being implemented to develop a sensor-based N decision model for the Australian grains industry; this model will be used for targeted (site-specific) mid-season N application. The experimental design features N-rich and N-minus strips, the calibration of crop sensors with data collected from different zones of a paddock and the on-farm assessment of optimum N application rates. Such an approach may also support other sensor-based decision aids besides those aimed at N management.