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Optical monitoring of the plant growth status using polarimetry.

ABSTRACT: Polarimetry is a powerful characterization technique that uses a wealth of information from electromagnetic waves, including polarization. Using the rich information provided by polarimetry, it is being actively studied in biomedical fields such as cancer and tumor diagnosis. Despite its importance and potential in agriculture, polarimetry for living plants has not been well studied. A Stokes polarimetric imaging system was built to determine the correlation between the polarization states of the light passing through the leaf and the growth states of lettuce. The Stokes parameter s₃ associated with circular polarization increased over time and was strongly correlated with the growth of lettuce seedlings. In the statistical analysis, the distribution of s₃ followed the generalized extreme value (GEV) probability density function. Salt stress retarded plant growth, and the concentration of treated sodium chloride (NaCl) showed a negative correlation with the location parameter μ of GEV. The clear correlation reported here will open the possibility of polarization measurements on living plants, enabling real-time monitoring of plant health.

SUBMITTER: Kim J

PROVIDER: S-EPMC9759557 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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Optical monitoring of the plant growth status using polarimetry.

Kim Jongyoon J Shin Yu Kyeong YK Nam Yunsu Y Lee Jun Gu JG Lee Ji-Hoon JH

Scientific reports 20221217 1

Polarimetry is a powerful characterization technique that uses a wealth of information from electromagnetic waves, including polarization. Using the rich information provided by polarimetry, it is being actively studied in biomedical fields such as cancer and tumor diagnosis. Despite its importance and potential in agriculture, polarimetry for living plants has not been well studied. A Stokes polarimetric imaging system was built to determine the correlation between the polarization states of th ...[more]

PMID: 36528722

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Project description:Evaluation of crop N status will assist optimal N management of intensive vegetable production. Simple procedures for monitoring crop N status such as petiole sap [NO 3(-)-N], leaf N content and soil solution [NO 3(-)] were evaluated with indeterminate tomato and muskmelon. Their sensitivity to assess crop N status throughout each crop was evaluated using linear regression analysis against nitrogen nutrition index (NNI) and crop N content. NNI is the ratio between the actual and the critical crop N contents (critical N content is the minimum N content necessary to achieve maximum growth), and is an established indicator of crop N status. Nutrient solutions with four different N concentrations (treatments N1-N4) were applied throughout each crop. Average applied N concentrations were 1, 5, 13 and 22 mmol L(-1) in tomato, and 2, 7, 13 and 21 mmol L(-1) in muskmelon. Respective rates of N were 23, 147, 421 and 672 kg N ha(-1) in tomato, and 28, 124, 245 and 380 kg N ha(-1) in muskmelon. For each N treatment in each crop, petiole sap [NO 3(-)-N] was relatively constant throughout the crop. During both crops, there were very significant (P < 0.001) linear relationships between both petiole sap [NO 3(-)-N] and leaf N content with NNI and with crop N content. In indeterminate tomato, petiole sap [NO 3(-)-N] was very strongly linearly related to NNI (R(2) = 0.88-0.95, P < 0.001) with very similar slope and intercept values on all dates. Very similar relationships were obtained from published data of processing tomato. A single linear regression (R(2) = 0.77, P < 0.001) described the relationship between sap [NO 3(-)-N] and NNI for both indeterminate and processing tomato, each grown under very different conditions. A single sap [NO 3(-)-N] sufficiency value of 1050 mg N L(-1) was subsequently derived for optimal crop N nutrition (at NNI = 1) of tomato grown under different conditions. In muskmelon, petiole sap [NO 3(-)-N] was strongly linearly related to NNI (R(2) = 0.75 - 0.88, P < 0.001) with very similar slope and intercept values for much of the crop (44-72 DAT, days after transplanting). A single linear relationship between sap [NO 3(-)-N] and NNI (R(2) = 0.77, P < 0.001) was derived for this period, but sap sufficiency values could not be derived for muskmelon as NNI values were >1. Relationships between petiole sap [NO 3(-)-N] with crop N content, and leaf N content with both NNI and crop N content had variable slopes and intercept values during the indeterminate tomato and the muskmelon crops. Soil solution [NO 3(-)] in the root zone was not a sensitive indicator of crop N status. Of the three systems examined for monitoring crop/soil N status, petiole sap [NO 3(-)-N] is suggested to be the most useful because of its sensitivity to crop N status and because it can be rapidly analysed on the farm.

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Optical monitoring of the plant growth status using polarimetry.

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Optical monitoring of the plant growth status using polarimetry.

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