采用 RNCA-PSO-ELM 的水稻叶绿素光谱特征分析与反演.
- Published in:
- Transactions of the Chinese Society of Agricultural Engineering, 2022, v. 38, n. 8, p. 178, doi. 10.11975/j.issn.1002-6819.2022.08.021
- By:
- Publication type:
- Article
Works by 曹英丽
Results: 16
1
2
基于高光谱遥感处方图的寒地分蘖期水稻无人机精准施肥.
- Published in:
- Transactions of the Chinese Society of Agricultural Engineering, 2020, v. 36, n. 15, p. 103, doi. 10.11975/j.issn.1002-6819.2020.15.013
- By:
- Publication type:
- Article
3
基于多尺度信息融合的杂草语义分割方法.
- Published in:
- Journal of Shenyang Agricultural University, 2024, v. 55, n. 6, p. 743, doi. 10.3969/j.issn.1000-1700.2024.06.011
- By:
- Publication type:
- Article
4
基于无人机遥感的农作物病害监测研究进展.
- Published in:
- Journal of Shenyang Agricultural University, 2024, v. 55, n. 5, p. 616, doi. 10.3969/j.issn.1000-1700.2024.05.012
- By:
- Publication type:
- Article
5
基于极限学习机的玉米干燥系统出机 水分含量预测模型.
- Published in:
- Journal of Shenyang Agricultural University, 2023, v. 54, n. 5, p. 619, doi. 10.3969/j.issn.1000-1700.2023.05.015
- By:
- Publication type:
- Article
6
孔口尺寸和喷雾压力对典型扇形航空喷头雾化 特性的影响研究.
- Published in:
- Journal of Shenyang Agricultural University, 2022, v. 53, n. 5, p. 562, doi. 10.3969/j.issn.1000-1700.2022.05.006
- By:
- Publication type:
- Article
7
基于高光谱红边位置提取的水稻叶绿素反演研究.
- Published in:
- Journal of Shenyang Agricultural University, 2021, v. 52, n. 6, p. 718, doi. 10.3969/j.issn.1000-1700.2021.06.009
- By:
- Publication type:
- Article
8
高光谱数据降维与水稻氮素含量解析方法.
- Published in:
- Journal of Shenyang Agricultural University, 2021, v. 52, n. 1, p. 109, doi. 10.3969/j.issn.1000-1700.2021.01.015
- By:
- Publication type:
- Article
9
基于深度卷积神经网络的水稻纹枯病检测识别.
- Published in:
- Journal of Shenyang Agricultural University, 2020, v. 51, n. 5, p. 568, doi. 10.3969/j.issn.1000-1700.2020.05.007
- By:
- Publication type:
- Article
10
基于光谱特征参数的粳稻冠层氮素含量反演方法.
- Published in:
- Journal of Shenyang Agricultural University, 2020, v. 51, n. 2, p. 218, doi. 10.3969/j.issn.1000-1700.2020.02.013
- By:
- Publication type:
- Article
11
基于分窗Gram-Schmidt 高光谱降维的 水稻纹枯病检测.
- Published in:
- Journal of Shenyang Agricultural University, 2019, v. 50, n. 6, p. 713, doi. 10.3969/j.issn.1000-1700.2019.06.009
- By:
- Publication type:
- Article
12
水稻氮利用效率评价及其与产量性状的关系.
- Published in:
- Journal of Shenyang Agricultural University, 2019, v. 50, n. 6, p. 641, doi. 10.3969/j.issn.1000-1700.2019.06.001
- By:
- Publication type:
- Article
13
水稻叶片高光谱数据降维与叶绿素含量反演方法研究.
- Published in:
- Journal of Shenyang Agricultural University, 2019, v. 50, n. 1, p. 101, doi. 10.3969/j.issn.1000-1700.2019.01.013
- By:
- Publication type:
- Article
14
基于 GA-BP 神经网络高光谱反演模型分析玉米叶片叶绿素含量.
- Published in:
- Journal of Shenyang Agricultural University, 2018, v. 49, n. 5, p. 626, doi. 10.3969/j.issn.1000-1700.2018.05.016
- By:
- Publication type:
- Article
15
分布式光伏发电特性与气象影响因子诊断分析.
- Published in:
- Journal of Shenyang Agricultural University, 2018, v. 49, n. 3, p. 363, doi. 10.3969/j.issn.1000-1700.2018.03.016
- By:
- Publication type:
- Article
16
基于PROSPECT模型的植物叶片干物质估测建模研究.
- Published in:
- Journal of Shenyang Agricultural University, 2018, v. 49, n. 1, p. 121, doi. 10.3969/j.issn.1000-1700.2018.01.018
- By:
- Publication type:
- Article