A plant based sensing method for nutrition stress monitoring

被引:36
|
作者
Tomkiewicz, Dariusz [1 ]
Piskier, Tomasz [2 ]
机构
[1] Koszalin Univ Technol, Div Control Engn, PL-75620 Koszalin, Poland
[2] Koszalin Univ Technol, Div Agr Engn, PL-75620 Koszalin, Poland
关键词
Plant electrical properties; Impedance spectroscopy; Impedance sensor; IMPEDANCE SPECTROSCOPY; SENSORS; STRATEGIES; GROWTH;
D O I
10.1007/s11119-011-9252-3
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Due to economical and ecological reasons it is important to provide the necessary flexibility in fertilizer management to respond to differences in plant nutrients requirements. Plant-based sensors have potential to provide more accurate and on-line information regarding crop bio-responses to environmental stress and could overcome limitations of traditional methods which focus only on monitoring parameters of soil. Current research regarding on-line plant stress sensing techniques concentrates on spectroscopic and image processing methods. These techniques have many limitations connected with their sensitivity to environmental interferences. In recent years, impedance spectroscopy has become a well-known non-invasive tool for describing the electrical properties of many systems. The research hypothesis tested was that information provided by Electrical Impedance Spectroscopy is correlated with tomato plant stress caused by lack of mineral nutrients in the growth medium. The experiment was conducted with two sets of hydroponically-grown tomato plants (Lycopersicon esculentum Mill., cv. 'Maliniak'). During the experiment the tomato plants were fed alternately with flow of necessary nutrients and with distilled water. The impedance spectra were measured by scanning frequencies from 100 Hz to 50 kHz to determine the most sensitive frequency. A Nutrition Index was proposed for indicating variability of mineral nutrition within plants, and its correlation with experimental plant data was tested. Data showed that the relation between the Nutrition Index and the stress caused by lack of mineral nutrients in the growing medium was a monotonic function in the case of study. The results presented in the paper support the concept that the electrical impedance spectroscopy is a non-destructive, economical and reliable measurement method, which can be utilised for plant nutrition stress monitoring.
引用
收藏
页码:370 / 383
页数:14
相关论文
共 50 条
  • [21] A Novel Force Sensing Method Based on Stress Imaging Analysis
    Bekhti, Rachid
    Duchaine, Vincent
    Cardou, Philippe
    IEEE SENSORS JOURNAL, 2016, 16 (07) : 1926 - 1936
  • [22] Method for monitoring the cotton plant vigor based on the WSN technology
    Zhang, Rongbiao
    Ren, Zuowei
    Sun, Jian
    Tang, Wenjing
    Ning, Dongmin
    Qian, Yang
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2017, 133 : 68 - 79
  • [23] METHOD FOR MONITORING PROCESS PLANT BASED ON A DECISION TABLE ANALYSIS
    BERENBLUT, BJ
    WHITEHOUSE, HB
    CHEMICAL ENGINEER-LONDON, 1977, (318): : 175 - 181
  • [24] Remote sensing for monitoring plant disease and insect
    Liu, Zhanyu
    Huang, Jingfeng
    Li, Bo
    PROGRESS OF INFORMATION TECHNOLOGY IN AGRICULTURE, 2007, : 721 - 731
  • [25] Sap Analysis: A Powerful Tool for Monitoring Plant Nutrition
    Esteves, Eduardo
    Locatelli, Guilherme
    Bou, Neus Alcon
    Ferrarezi, Rhuanito Soranz
    HORTICULTURAE, 2021, 7 (11)
  • [26] Research on the monitoring method for landslides by quasi-distributed fiber optic stress sensing
    Dai, ZY
    Tang, WG
    Liu, YZ
    ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 85 - 89
  • [27] Remote Sensing Monitoring of Volcanic Ash Clouds Based on PCA Method
    Chengfan Li
    Yangyang Dai
    Junjuan Zhao
    Shiqiang Zhou
    Jingyuan Yin
    Dan Xue
    Acta Geophysica, 2015, 63 : 432 - 450
  • [28] Remote Sensing Monitoring of Volcanic Ash Clouds Based on PCA Method
    Li, Chengfan
    Dai, Yangyang
    Zhao, Junjuan
    Zhou, Shiqiang
    Yin, Jingyuan
    Xue, Dan
    ACTA GEOPHYSICA, 2015, 63 (02) : 432 - 450
  • [29] Plant-based sensing to monitor water stress: Applicability to commercial orchards
    Fernandez, J. E.
    AGRICULTURAL WATER MANAGEMENT, 2014, 142 : 99 - 109
  • [30] METHOD OF DROUGHT MONITORING BY REMOTE SENSING BASED ON WATER AREA CHANGING
    Li, Rong
    Li, Xiaotao
    Su, Dongsheng
    Sun, Tao
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 2178 - 2181