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中国农机化学报

中国农机化学报 ›› 2022, Vol. 43 ›› Issue (4): 160-165.DOI: 10.13733/j.jcam.issn.20955553.2022.04.023

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基于GNDVI指数的土壤—水稻冠层变量施氮决策方案研究

李志博,李亚芹,赵浣旻,王俊发,葛宜元,邱新伟   

  1. 佳木斯大学,黑龙江佳木斯,154007
  • 出版日期:2022-04-15 发布日期:2022-04-24
  • 基金资助:
    黑龙江省教育厅基本科研业务费基础研究项目(2019—KYYWF—1381);国家自然科学基金项目(51875252)

Study on the decisionmaking scheme of soilrice canopy variable nitrogen application based on GNDVI index

Li Zhibo, Li Yaqin, Zhao Huanmin, Wang Junfa, Ge Yiyuan, Qiu Xinwei.   

  • Online:2022-04-15 Published:2022-04-24

摘要:
摘要:氮肥的合理施用是水稻增产增收的关键所在。氮肥施用不当不仅会导致水稻分蘖期植株过分生长、成熟期倒伏、产量降低,还将会对农田土壤及周边环境造成污染,破坏土壤养分结构,因此提出一种变量施加氮肥的决策方案精准投放氮肥。利用紫外分光光度法对土壤中氮素含量进行测量,分析土壤中氮元素含量;测量水稻叶片SPAD值映射冠层氮素含量,利用无人机搭载光谱相机采集冠层光谱图像信息,择优选取相关性最强的绿色归一化植被指数GNDVI,并构建其与SPAD关联模型,进而构建水稻冠层氮素含量模型,提出水稻变量施氮决策方案。试验分析发现该决策方案提高氮肥利用率,水稻产量同比提高7.2 t,经济效益提升8.39%。利用该决策方案对目标地块实施变量施氮,提高经济效益同时为农业的可持续发展提供有效保障。

关键词: 水稻, 氮素, 绿色归一化植被指数, 决策

Abstract: The rational application of nitrogen fertilizer is the key to increasing rice yield and income. Improper application of nitrogen fertilizer will not only lead to excessive growth of rice plants at tillering stage, lodging at maturity, and reduced yield but also pollute farmland soil and surrounding environment and destroy soil nutrient structure. Therefore, a decisionmaking scheme of variable application of nitrogen fertilizer is proposed to apply nitrogen fertilizer accurately.The content of nitrogen in the soil was measured by UV spectrophotometry, and the content of nitrogen in the soil was analyzed. The SPAD value of rice leaves was measured to map the canopy nitrogen content, the canopy spectral image information was collected by UAV equipped spectral camera, the green normalized vegetation GNDVI index with the strongest correlation was selected, and its correlation model with SPAD was constructed. Then the rice canopy nitrogen content model was constructed, and the decisionmaking scheme of variable nitrogen application in rice was put forward. It was found that the decisionmaking scheme improved the nitrogen use efficiency, increased the rice yield by 7.2 t, and the economic benefit by 8.39%.

Key words: rice, nitrogen, green normalized vegetation index, policy decision

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