Abstract
The high cost and soil mobility of Nitrogen (N) raise financial and environmental concerns, calling for its increased efficiency use. Nitrogen use efficiency (NUE) can be improved in maize production through the GreenSeeker proximal sensor. However, the optimal utilization of sensors requires a site specific algorithm in order to control factors interfering with sensors’ readings. These factors include the sensor specificities, anatomy and morphology of the crop canopy, soil properties and environmental conditions. The design of such an algorithm to improve the NUE in the Lockyer Valley will require four N rates (0, 40, 80 and 120 Kg.ha-1), in-season sensing of the canopy reflectance using the GreenSeeker sensor as well as N analysis of grains and leaves. The built algorithm will enable farmers using the GreenSeeker sensor to better manage maize N fertilization with positive outcomes for their financial returns and environmental contamination.
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