Evaluation of Water Potentials of Leafy Vegetables Using Hyperspectral Imaging

被引:9
|
作者
Tung, Kuo-Chih [1 ]
Tsai, Chao-Yin [1 ]
Hsu, Han-Chun [1 ]
Chang, Yung-Huei [1 ]
Chang, Cheng-Hou [1 ]
Chen, Suming [1 ]
机构
[1] Natl Taiwan Univ, Dept Bioind Mechatron Engn, 1,Sec 4,Roosevelt Rd, Taipei, Taiwan
来源
IFAC PAPERSONLINE | 2018年 / 51卷 / 17期
关键词
Hyperspectral Imaging; Water Stress; Water Potential; Leafy Vegetable; Precision Irrigation; FLUORESCENCE;
D O I
10.1016/j.ifacol.2018.08.052
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To effectively and precisely manage crop production is important to meet increasing demands of high quality and safe agricultural products. In this study, evaluation of water stress in terms of water potentials of leafy vegetables using hyperspectral imaging technology was conducted for the future development of an agri-robotic system in greenhouses. The leafy vegetable Fengjing Pakchoi was cultivated under water stress treatments in a phytotron; both water potential and hyperspectral images were measured. The Modified Partial Least Squares Regression (MPLSR) with a correlation coefficient of 0.826 was successfully developed to determine the water potentials of leaves using hyperspectral imaging. Uneven distribution of water potentials on leaves was illustrated and discussed. Water stress which reflected irrigation status was visualized and compared by pseudocolor contour figures. This study had established a basis for the subsequent development of an agri-robotic system for automation and precision irrigation in greenhouses. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:5 / 9
页数:5
相关论文
共 50 条
  • [21] Recent Progress of Hyperspectral Imaging on Quality and Safety Inspection of Fruits and Vegetables: A Review
    Pu, Yuan-Yuan
    Feng, Yao-Ze
    Sun, Da-Wen
    COMPREHENSIVE REVIEWS IN FOOD SCIENCE AND FOOD SAFETY, 2015, 14 (02): : 176 - 188
  • [22] Principles and Applications of Hyperspectral Imaging Technique in Quality and Safety Inspection of Fruits and Vegetables
    Zhang Bao-hua
    Li Jiang-bo
    Fan Shu-xiang
    Huang Wen-qian
    Zhang Chi
    Wang Qing-yan
    Xiao Guang-dong
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (10) : 2743 - 2751
  • [23] Detecting Field Cancerization Using a Hyperspectral Imaging System
    Neittaanmaki-Perttu, Noora
    Gronroos, Mari
    Tani, Taneli
    Polonen, Ilkka
    Ranki, Annamari
    Saksela, Olli
    Snellman, Erna
    LASERS IN SURGERY AND MEDICINE, 2013, 45 (07) : 410 - 417
  • [24] Water quality monitoring in an estuary using UAV hyperspectral imaging and satellite algorithms
    Kvesic, Marija
    Divic, Morena Galesic
    Kisevic, Mak
    Kekez, Toni
    Miletic, Marin
    Andricevic, Roko
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XXIV, 2022, 12262
  • [25] Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning
    Loggenberg, Kyle
    Strever, Albert
    Greyling, Berno
    Poona, Nitesh
    REMOTE SENSING, 2018, 10 (02)
  • [26] DETECTION OF CROP WATER STRESS IN MAIZE USING DRONE BASED HYPERSPECTRAL IMAGING
    Mohite, Jayantrao
    Sawant, Suryakant
    Agarwal, Rishabh
    Pandit, Ankur
    Pappula, Srinivasu
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 5957 - 5960
  • [27] Development of Non-destructive Discrimination Model for Water Stress in Chinese Cabbage Seedlings using Hyperspectral Imaging
    Im, Seung Hyun
    Kwon, Kyung-Do
    Cho, Byoung-Kwan
    Kim, Geonwoo
    Lee, Hoonsoo
    JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING, 2023, 43 (05) : 386 - 397
  • [28] Nondestructive evaluation of Zn content in rape leaves using MSSAE and hyperspectral imaging
    Fu, Lvhui
    Sun, Jun
    Wang, Simin
    Xu, Min
    Yao, Kunshan
    Zhou, Xin
    SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2022, 281
  • [29] Mapping of Leaf Water Content Using Near-Infrared Hyperspectral Imaging
    Higa, Sakura
    Kobori, Hikaru
    Tsuchikawa, Satoru
    APPLIED SPECTROSCOPY, 2013, 67 (11) : 1302 - 1307
  • [30] Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging
    Ariana, Diwan P.
    Lu, Renfu
    JOURNAL OF FOOD ENGINEERING, 2010, 96 (04) : 583 - 590