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变量施肥技术作为精准农业一个新的发展方向,如果能以适时获得的高光谱数据代替传统繁琐的实验室土壤养分测定数据来指导变量施肥实践,那将对我国精准农业的发展具有重要的实践意义。研究根据冬小麦起身拔节期冠层光谱数据,选用反映冬小麦长势信息的优化土壤调节植被指数(OSAVI)进行变量施肥,对光谱指数(OSAVI)指导变量施肥实践的可行性进行了探讨,结果表明起身拔节期的冠层光谱特征值与产量之间表现出很好的线性相关关系,可以根据起身期的冠层光谱特征值预测当季作物目标产量。对变量施肥效益也做了研究,结果显示通过变量施肥能够改善冬小麦的长势差异状况,显著提高了冬小麦籽粒产量,降低各处理产量之间的变异,但各处理籽粒品质之间的差异却略有增加。
As a new developing direction of precision agriculture, variable fertilization technology can guide the practice of variable fertilization by replacing hyperspectral data acquired in time with traditional tedious laboratory soil nutrient measurement data, which will have important practical significance for the development of precision agriculture in China . Based on the canopy spectral data of winter wheat at jointing stage and OSAVI (variable soil fertility index), which reflects the growth of winter wheat, the feasibility of applying fertilizing with OSAVI guidance variable was discussed. The results showed that uplift The seasonal canopy spectral eigenvalues showed a good linear relationship with the yield, and the crop yield could be predicted based on the eigenvalues of canopy spectral period. The results also showed that variable fertilization could improve the growing status of winter wheat and increase the grain yield of winter wheat significantly and reduce the variation among the treatments. However, there was a slight difference between the quality of processed grain increase.