Assessment of plant diseases using an unmanned aerial system with high resolution color and multispectral imagery

被引:0
|
作者
Mckinzie, L. [1 ]
Li, R. [1 ]
Bond, J. P. [1 ]
Fakhoury, A. M. [1 ]
机构
[1] Southern Illinois Univ, Carbondale, IL USA
关键词
D O I
暂无
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
引用
收藏
页码:189 / 189
页数:1
相关论文
共 50 条
  • [31] Unmanned aerial system and satellite-based high resolution imagery for high-throughput phenotyping in dry bean
    Sankaran, Sindhuja
    Quiros, Juan Jose
    Miklas, Phillip N.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 165
  • [32] Multispectral imaging and unmanned aerial systems for cotton plant phenotyping
    Xu, Rui
    Li, Changying
    Paterson, Andrew H.
    PLOS ONE, 2019, 14 (02):
  • [33] Glint Correction of Unmanned Aerial System Imagery
    Ford, Ryan T.
    Vodacek, Anthony
    2019 IEEE SYSTEMS AND TECHNOLOGIES FOR REMOTE SENSING APPLICATIONS THROUGH UNMANNED AERIAL SYSTEMS (STRATUS), 2019,
  • [34] BENTHIC MAPPING USING HIGH RESOLUTION MULTISPECTRAL AND HYPERSPECTRAL IMAGERY
    Marcello, J.
    Eugenio, F.
    Marques, F.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 1535 - 1538
  • [35] Deep Learning Method for Wetland Segmentation in Unmanned Aerial Vehicle Multispectral Imagery
    Nuradili, Pakezhamu
    Zhou, Ji
    Zhou, Guiyun
    Melgani, Farid
    REMOTE SENSING, 2024, 16 (24)
  • [36] Comparison of True-Color and Multispectral Unmanned Aerial Systems Imagery for Marine Habitat Mapping Using Object-Based Image Analysis
    Papakonstantinou, Apostolos
    Stamati, Chrysa
    Topouzelis, Konstantinos
    REMOTE SENSING, 2020, 12 (03)
  • [37] Rice biomass estimation based on multispectral imagery from unmanned aerial vehicles
    Wang, Di
    Sun, Rong
    Su, Yong
    Yang, Bo
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2024, 40 (17): : 161 - 170
  • [38] High-resolution hyperspectral imagery from pushbroom scanners on unmanned aerial systems
    Kim, Jae-In
    Chi, Junhwa
    Masjedi, Ali
    Flatt, John Evan
    Crawford, Melba M.
    Habib, Ayman F.
    Lee, Joohan
    Kim, Hyun-Cheol
    GEOSCIENCE DATA JOURNAL, 2022, 9 (02): : 221 - 234
  • [39] Low-Cost Unmanned Aerial Multispectral Imagery for Siltation Monitoring in Reservoirs
    Olivetti, Diogo
    Roig, Henrique
    Martinez, Jean-Michel
    Borges, Henrique
    Ferreira, Alexandre
    Casari, Raphael
    Salles, Leandro
    Malta, Edio
    REMOTE SENSING, 2020, 12 (11)
  • [40] Identification and Comprehensive Evaluation of Resistant Weeds Using Unmanned Aerial Vehicle-Based Multispectral Imagery
    Xia, Fulin
    Quan, Longzhe
    Lou, Zhaoxia
    Sun, Deng
    Li, Hailong
    Lv, Xiaolan
    FRONTIERS IN PLANT SCIENCE, 2022, 13