Evaluation of growth and nutritive values of forage crop using hyperspectral sensor in the field level

研制了一套牧草收获期光谱信息采集系统。利用该系统，将高光谱传感器安装在拖拉机上，对饲料作物的化学成分进行了估测。据推测，估计模型的化学成分有足够的准确性，和营养价值的实地地图生成。此外，还以光合能力为指标，评价了杂草丛生地植物竞争的影响。

A system was developed to acquire spectral information of forage crop during harvest at the field level. Chemical compositions of forage crop were estimated using the system with a hyperspectral sensor mounted on a tractor. It was speculated that the estimation models for the chemical compositions had sufficient accuracy, and field maps of nutritive values were generated. In addition, the effect of plant competition at the field which was chokedup with weeds was evaluated by photosynthetic ability.