Detecting nitrogen content in lettuce leaves based on hyperspectral imaging and multiple regression analysis

被引：3
|
作者：
Jun, Sun [1 ,2 ]
Xiaming, Jin [3 ]
Hanping, Mao [3 ]
Xiaohong, Wu [2 ]
Hongyan, Gao [3 ]
Wenjing, Zhu [3 ]
Xiao, Liu [2 ]
机构：
[1] Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing, 100081, China
[2] School of Electrical and Information Engineering, Jiangsu University, China
[3] Laboratory Venlo of Modern Agricultural Equipment, Jiangsu University, Zhenjiang, 212013, China
来源：
Information Technology Journal | 2013年 / 12卷 / 19期
关键词：
Lettuce;
D O I：
10.3923/itj.2013.4845.4851
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：4845 / 4851
相关论文
共 50 条
  • [31] Hyperspectral estimation for nitrogen and phosphorus content in Camellia oleifera leaves based on machine learning algorithms
    Tang, Xuehai
    Kuang, Fan
    Fu, Genshen
    Yan, Lipeng
    Huang, Qingfeng
    Wang, Xinwen
    Wang, Bin
    Ou, Qiangxin
    JOURNAL OF APPLIED REMOTE SENSING, 2024, 18 (03)
  • [32] Estimation of Nitrogen Content in Hevea Rubber Leaves Based on Hyperspectral Data Deep Feature Fusion
    Hu, Wenfeng
    Zhang, Longfei
    Chen, Zhouyang
    Luo, Xiaochuan
    Qian, Cheng
    SUSTAINABILITY, 2025, 17 (05)
  • [33] Hyperspectral Prediction Model of Nitrogen Content in Citrus Leaves Based on the CEEMDAN-SR Algorithm
    Gao, Changlun
    Tang, Ting
    Wu, Weibin
    Zhang, Fangren
    Luo, Yuanqiang
    Wu, Weihao
    Yao, Beihuo
    Li, Jiehao
    REMOTE SENSING, 2023, 15 (20)
  • [34] Hyperspectral Inversion of Nitrogen Content in Phyllostachys Pubescens Based on Partial Least Squares Regression Model
    Wang, Ming Ming
    Chen, Yun Zhi
    Li, Kai
    INTERNATIONAL CONFERENCE ON ENVIRONMENTAL REMOTE SENSING AND BIG DATA (ERSBD 2021), 2021, 12129
  • [35] Simultaneously predicting SPAD and water content in rice leaves using hyperspectral imaging with deep multi-task regression and transfer component analysis
    Zhai, Yuanning
    Wang, Jun
    Zhou, Lei
    Zhang, Xincheng
    Ren, Yun
    Qi, Hengnian
    Zhang, Chu
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2025, 105 (01) : 554 - 568
  • [36] Quantified Estimation of Anthocyanin Content in Mosaic Virus Infected Apple Leaves Based on Hyperspectral Imaging
    Tian Ming-lu
    Ban Song-tao
    Chang Qing-rui
    Zhang Zhuo-ran
    Wu Xu-mei
    Wang Qi
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (10) : 3187 - 3192
  • [37] Development of Prediction Models for Determining N Content in Citrus Leaves Based on Hyperspectral Imaging Technology
    Li Jin-meng
    Ye Xu-jun
    Wang Qiao-nan
    Zhang Chu
    He Yong
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (01) : 212 - 216
  • [38] Quantitative detection of mixed pesticide residue of lettuce leaves based on hyperspectral technique
    Sun, Jun
    Cong, Sunli
    Mao, Hanping
    Wu, Xiaohong
    Yang, Ning
    JOURNAL OF FOOD PROCESS ENGINEERING, 2018, 41 (02)
  • [39] Visual detection of the moisture content of tea leaves with hyperspectral imaging technology
    Wei, Yuzhen
    Wu, Feiyue
    Xu, Jie
    Sha, Junjing
    Zhao, Zhangfeng
    He, Yong
    Li, Xiaoli
    JOURNAL OF FOOD ENGINEERING, 2019, 248 : 89 - 96
  • [40] UAV-borne hyperspectral estimation of nitrogen content in tobacco leaves based on ensemble learning methods
    Zhang, Mingzheng
    Chen, Tian'en
    Gu, Xiaohe
    Kuai, Yan
    Wang, Cong
    Chen, Dong
    Zhao, Chunjiang
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 211
12345