Soybean leaf estimation based on RGB images and machine learning methods

被引:0
|
作者
Xiuni Li
Xiangyao Xu
Shuai Xiang
Menggen Chen
Shuyuan He
Wenyan Wang
Mei Xu
Chunyan Liu
Liang Yu
Weiguo Liu
Wenyu Yang
机构
[1] Sichuan Agricultural University,College of Agronomy
[2] Sichuan Engineering Research Center for Crop Strip Intercropping System,undefined
[3] Key Laboratory of Crop Ecophysiology and Farming System in Southwest,undefined
[4] Ministry of Agriculture,undefined
来源
Plant Methods | / 19卷
关键词
Soybean; Leaf parameters; Estimation; RGB; Machine learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Estimation of Fv/Fm in Spring Wheat Using UAV-Based Multispectral and RGB Imagery with Multiple Machine Learning Methods
    Wu, Qiang
    Zhang, Yongping
    Xie, Min
    Zhao, Zhiwei
    Yang, Lei
    Liu, Jie
    Hou, Dingyi
    [J]. AGRONOMY-BASEL, 2023, 13 (04):
  • [22] Ramie Yield Estimation Based on UAV RGB Images
    Fu, Hongyu
    Wang, Chufeng
    Cui, Guoxian
    She, Wei
    Zhao, Liang
    [J]. SENSORS, 2021, 21 (02)
  • [23] Precise Estimation of NDVI with a Simple NIR Sensitive RGB Camera and Machine Learning Methods for Corn Plants
    Wang, Liangju
    Duan, Yunhong
    Zhang, Libo
    Rehman, Tanzeel U.
    Ma, Dongdong
    Jin, Jian
    [J]. SENSORS, 2020, 20 (11) : 1 - 15
  • [24] A Feasibility Study on Translation of RGB Images to Thermal Images: Development of a Machine Learning Algorithm
    Li Y.
    Ko Y.
    Lee W.
    [J]. SN Computer Science, 4 (5)
  • [25] Estimation of Chronic Illness Severity Based on Machine Learning Methods
    Chang, Yue
    Chen, Xudong
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [26] Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in Rice
    Yamaguchi, Tomoaki
    Tanaka, Yukie
    Imachi, Yuto
    Yamashita, Megumi
    Katsura, Keisuke
    [J]. REMOTE SENSING, 2021, 13 (01)
  • [27] 3D Pose Estimation of Robot Arm with RGB Images Based on Deep Learning
    Zhou, Fan
    Chi, Zijing
    Zhuang, Chungang
    Ding, Han
    [J]. INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT IV, 2019, 11743 : 541 - 553
  • [28] Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV
    Randelovic, Predrag
    Dordevic, Vuk
    Milic, Stanko
    Balesevic-Tubic, Svetlana
    Petrovic, Kristina
    Miladinovic, Jegor
    Dukic, Vojin
    [J]. AGRONOMY-BASEL, 2020, 10 (08):
  • [29] Estimation of soybean yield based on high-throughput phenotyping and machine learning
    Li, Xiuni
    Chen, Menggen
    He, Shuyuan
    Xu, Xiangyao
    He, Lingxiao
    Wang, Li
    Gao, Yang
    Tang, Fenda
    Gong, Tao
    Wang, Wenyan
    Xu, Mei
    Liu, Chunyan
    Yu, Liang
    Liu, Weiguo
    Yang, Wenyu
    [J]. FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [30] Machine Learning Methods for Demand Estimation
    Bajari, Patrick
    Nekipelov, Denis
    Ryan, Stephen P.
    Yang, Miaoyu
    [J]. AMERICAN ECONOMIC REVIEW, 2015, 105 (05): : 481 - 485