A study by Research Fellow Dr Huajian Liu at APPF’s The Plant Accelerator has highlighted the challenges and considerations when using different hyperspec sensors for nitrogen prediction.
The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices. Among various plant phenotyping methods, hyperspectral sensing has shown promise in providing accurate measurements in a fast and non-destructive manner.
Dr Liu’s study demonstrated that hyperspectral imaging systems with satisfactory system setups can be used to conduct proximal sensing of N content in wheat accurately. The proposed approach could reduce the need for chemical analysis of leaf tissue and lead to high-throughput estimation of N in wheat.
His paper has been published in the journal Sensors https://bit.ly/3h1Hzra
