基于大数据分析的农业气候与农作物产量变化研究

发布时间：2019-01-30 13:40

【摘要】：[目的]作为农业大国,我国农业产量直接影响着我国未来发展进度,而气候的变化直接牵动着农业产量的变化。[方法]文章基于农业气候对农作物产量的影响,借鉴已有研究从农业气候变化的角度入手,介绍气候变化对农作物产量等方面的影响,并以华北、华东及东北水稻产区为例,通过主成分因素分析设定降水量、气温、光照及太阳辐射度等指标因素,并建立C-D-A模型,[结果]降水量、气温及光照等气候因素对农作物产量的影响明显,其中干旱天气的影响最大。[结论]通过实证分析验证了该模型具有较高的可信度,以期为各种天气条件下保障与提高农作物产量提供理论依据。
[Abstract]:[objective] as a large agricultural country, China's agricultural output directly affects the future development of our country, and climate change directly affects the change of agricultural output. [methods] based on the effect of agricultural climate on crop yield, this paper introduces the effects of climate change on crop yield from the perspective of agricultural climate change, and takes the rice growing areas in North, East and Northeast China as examples. Through the principal component factor analysis, the index factors such as precipitation, temperature, illumination and solar radiance were set up, and C-D-A model was established. [results] precipitation, temperature and light had obvious effects on crop yield. Among them, arid weather has the greatest influence. [conclusion] the model is proved to be reliable by empirical analysis in order to provide theoretical basis for the protection and improvement of crop yield under various weather conditions.
【作者单位】：天津职业大学基础课部;
【基金】：国家自然科学基金“可重图、赋权图和随机图中的拓扑指标”(11001196) 天津市哲学社会科学研究规划项目“天津市高职院校不同生源学生的学习差异与行为的多维比较研究”(TJJXWT11-040) 天津职业大学科研基金项目“前向型神经网络权值和结构的确定方法研究”(20122108)
【分类号】：S162

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