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LFW is closely related to grower income, as the marketable yields and prices of leafy vegetables are usually determined on a fresh-weight basis. LAI, defined as half the total leaf area per unit ground surface area ( Chen and Black, 1992), represents the amount of plant tissue available for photosynthesis and transpiration. In the horticultural crop production of leafy vegetables, it is of practical importance to monitor crop size indicators such as the leaf area index (LAI), leaf fresh weight (LFW), and leaf length (LL). Keywords: Beer–Lambert law gap fraction image analysis leaf area index semantic segmentation timelapse digital camera Our approach can replace time-consuming, labor-intensive manual measurements of these crop size indicators for Chinese chive and may be applicable to other crops with different parameter sets. By combining nadir timelapse photography with the allometric equations, changes in the LFW and LL of a Chinese chive canopy were estimated successfully for a 9-month cultivation period. A power function ( y = ax b) fit the observed LAI photo–LFW and LAI photo–LL relationships well ( R 2 = 0.89 and 0.74, respectively). LAI photo was then used as the input of allometric regression equations relating LAI photo with LFW and LL. This photographically estimated LAI (LAI photo) corresponded well with the destructively measured LAI (LAI dest) (LAI photo = 0.96LAI dest, R 2 = 0.87). LAI was estimated based on the gap fractions of nadir photographs (i.e., the fractions of nonleaf area), which were retrieved using the deep learning framework DeepLabv3+ with satisfactory accuracy (mean intersection over union, 0.71). The aim of this study was to develop a method that enables the continuous, automatic estimation of the LAI, LFW, and LL of a Chinese chive ( Allium tuberosum) canopy by combining timelapse photography with allometric equations.

In horticultural leafy vegetable production, continuously monitoring crop size indicators such as the leaf area index (LAI), leaf fresh weight (LFW), and leaf length (LL) is of practical value because these indicators are related to crop yields and harvest timing.

Download the last version for windows EndNote 21.2.17387