The estimation of wheat tiller number based on UAV images and gradual change features (GCFs)
文献类型: 外文期刊
第一作者: Liu, Tao
作者: Liu, Tao;Zhao, Yuanyuan;Wu, Fei;Zhou, Yuzhuang;Ju, Chengxin;Huo, Zhongyang;Sun, Chengming;Liu, Tao;Zhao, Yuanyuan;Wu, Fei;Zhou, Yuzhuang;Ju, Chengxin;Huo, Zhongyang;Sun, Chengming;Wang, Junchan;Chen, Chen;Zhong, Xiaochun;Liu, Shengping
作者机构:
关键词: Wheat; Tiller number; Multispectral; Gradual change feature
期刊名称:PRECISION AGRICULTURE ( 影响因子:5.767; 五年影响因子:5.875 )
ISSN: 1385-2256
年卷期:
页码:
收录情况: SCI
摘要: Wheat (Triticum aestivum L.) is an essential crop that is widely consumed globally. The tiller density is an important factor affecting wheat yield. Therefore, it is necessary to measure the number of tillers during wheat cultivation and breeding, which requires considerable labor and material resources. At present, there is no effective high-throughput measurement method for tiller number estimation, and the conventional tiller survey method cannot accurately reflect the spatial variation of wheat tiller density within the whole field. Therefore, in order to meet the demand for the thematic map of wheat tiller density at the field scale for the variable operation of nitrogen fertilizer, the multispectral images of wheat in Feekes growth stages 2-3 were obtained by unmanned aerial vehicle (UAV), and the characteristic parameters of the number of tillers were used to construct a model that could accurately estimate the number of tillers. Based on the vegetation index (VIs), this work proposed a gradual change features (GCFs) approach, which can greatly improve the disadvantages of using VIs to estimate tiller number, better reflect the tiller status of the wheat population, and have good results on the estimation of tiller in common models. A Lasso + VIs + GCFs method was constructed for accurate estimation of tiller number in multiple growth periods and fertilizer-treated wheat, with an average RMSE of fewer than 9 tillers per square meter, average MAE less than 8 tillers per square meter, and R-2 above 0.7. The results of the study not only proposed a high-throughput measurement method for the number of tillers but also provided a reference for the estimation of tiller number and other agronomic parameters.
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