2022HortScienceOpen access

Nondestructive Measurement Method of Leaf Area Index Using Near-infrared Radiation and Photosynthetically Active Radiation Transmitted through a Leafy Vegetable Canopy

Hiromu Yamaguchi, Daisuke Yasutake, Tomoyoshi Hirota, Koichi Nomura

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Abstract

Because the leaf area index (LAI) is an essential parameter for understanding the structure and growth status of plant canopies, nondestructive and continuous estimation methods have been required. Recently, an LAI estimation method using the ratio of near-infrared radiation (NIR; 700–1000 nm) to photosynthetically active radiation (PAR; 400–700 nm) (NIR in /PAR in ) transmitted through a canopy has been proposed. However, because previous studies on this NIR in /PAR in -based LAI estimation method are limited to tall plants (e.g., forest and rice canopies), in this study, we applied this method to a short canopy (i.e., spinach) and investigated its validity. NIR in /PAR in and three other traditional indices for indirect LAI estimation—relative PPF density (rPPFD), normalized difference vegetation index (NDVI), and simple ratio (SR)—were measured in 25 canopies with different LAI. NIR in /PAR in showed better estimation sensitivity ( R 2 = 0.88) to the observed LAI than the other three indices, particularly when LAI was greater than 3 m 2 ·m −2 . In addition, the LAI estimated from NIR in /PAR in measured at 10-min intervals in the entire growth period could capture an increasing trend in the measured LAI throughout the entire growth stage (mean absolute error = 0.87 m 2 ·m −2 ). Errors in long-term LAI estimations may be caused by the sensor location and insufficient data due to unsuitable weather conditions for measuring NIR in /PAR in . The current study demonstrates the merits and limitations of the NIR in /PAR in -based LAI estimation method applied to low height canopies, thereby contributing to its practical use in horticultural crops.

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Because the leaf area index (LAI) is an essential parameter for understanding the structure and growth status of plant canopies, nondestructive and continuous estimation methods have been required. Recently, an LAI estimation method using the ratio of near-infrared radiation (NIR; 700–1000 nm) to photosynthetically active radiation (PAR; 400–700 nm) (NIR in /PAR in ) transmitted through a canopy has been proposed. However, because previous studies on this NIR in /PAR in -based LAI estimation method are limited to tall plants (e.g., forest and rice canopies), in this study, we applied this method to a short canopy (i.e., spinach) and investigated its validity. NIR in /PAR in and three other traditional indices for indirect LAI estimation—relative PPF density (rPPFD), normalized difference vegetation index (NDVI), and simple ratio (SR)—were measured in 25 canopies with different LAI. NIR in /PAR in showed better estimation sensitivity ( R 2 = 0.88) to the observed LAI than the other three indices, particularly when LAI was greater than 3 m 2 ·m −2 . In addition, the LAI estimated from NIR in /PAR in measured at 10-min intervals in the entire growth period could capture an increasing trend in the measured LAI throughout the entire growth stage (mean absolute error = 0.87 m 2 ·m −2 ). Errors in long-term LAI estimations may be caused by the sensor location and insufficient data due to unsuitable weather conditions for measuring NIR in /PAR in . The current study demonstrates the merits and limitations of the NIR in /PAR in -based LAI estimation method applied to low height canopies, thereby contributing to its practical use in horticultural crops.

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Available abstract

Because the leaf area index (LAI) is an essential parameter for understanding the structure and growth status of plant canopies, nondestructive and continuous estimation methods have been required. Recently, an LAI estimation method using the ratio of near-infrared radiation (NIR; 700–1000 nm) to photosynthetically active radiation (PAR; 400–700 nm) (NIR in /PAR in ) transmitted through a canopy has been proposed. However, because previous studies on this NIR in /PAR in -based LAI estimation method are limited to tall plants (e.g., forest and rice canopies), in this study, we applied this method to a short canopy (i.e., spinach) and investigated its validity. NIR in /PAR in and three other traditional indices for indirect LAI estimation—relative PPF density (rPPFD), normalized difference vegetation index (NDVI), and simple ratio (SR)—were measured in 25 canopies with different LAI. NIR in /PAR in showed better estimation sensitivity ( R 2 = 0.88) to the observed LAI than the other three indices, particularly when LAI was greater than 3 m 2 ·m −2 . In addition, the LAI estimated from NIR in /PAR in measured at 10-min intervals in the entire growth period could capture an increasing trend in the measured LAI throughout the entire growth stage (mean absolute error = 0.87 m 2 ·m −2 ). Errors in long-term LAI estimations may be caused by the sensor location and insufficient data due to unsuitable weather conditions for measuring NIR in /PAR in . The current study demonstrates the merits and limitations of the NIR in /PAR in -based LAI estimation method applied to low height canopies, thereby contributing to its practical use in horticultural crops.

Key concepts: Leaf area index, Photosynthetically active radiation, Canopy, Environmental science, Remote sensing, Near-infrared spectroscopy, Growing season, Mathematics

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Nondestructive Measurement Method of Leaf Area Index Using Near-infrared Radiation and Photosynthetically Active Radiation Transmitted through a Leafy Vegetable Canopy — Research Paper | ScholarLens