Abstract
Total green leaf area (GLA) is an important trait for agronomic studies. However, existing methods for estimating the GLA of individual rice plants are destructive and labor-intensive. A nondestructive method for estimating the total GLA of individual rice plants based on multi-angle color images is presented. Using projected areas of the plant in images, linear, quadratic, exponential and power regression models for estimating total GLA were evaluated. Tests demonstrated that the side-view projected area had a stronger relationship with the actual total leaf area than the top-projected area. And power models fit better than other models. In addition, the use of multiple side-view images was an efficient method for reducing the estimation error. The inclusion of the top-view projected area as a second predictor provided only a slight improvement of the total leaf area estimation. When the projected areas from multi-angle images were used, the estimated leaf area (ELA) using the power model and the actual leaf area had a high correlation coefficient (R2 > 0.98), and the mean absolute percentage error (MAPE) was about 6%. The method was capable of estimating the total leaf area in a nondestructive, accurate and efficient manner, and it may be used for monitoring rice plant growth.
Highlights
Rice is a staple food for approximately half the world's population and is one of the most widely grown crops.[1]
The gravimetric technique is based on the leaf mass per area (LMA) determined from a sub sample, and the total leaf area is calculated based on the sub sample LMA and the dry weight of all leaves.[8]
It can be observed that both top-view projected area (TA) and SAave have a close relationship with Green leaf area (GLA)
Summary
Rice is a staple food for approximately half the world's population and is one of the most widely grown crops.[1]. The gravimetric technique is based on the leaf mass per area (LMA) determined from a sub sample, and the total leaf area is calculated based on the sub sample LMA and the dry weight of all leaves.[8] Commercialized scanning planimeters, such as LI-3100 (LI-COR Biosciences, NE, USA), can make rapid GLA measurements for individual plants in an automatic but destructive manner These destructive methods are accurate but labor-intensive. For nondestructive GLA estimation, special instruments have been developed Plant canopy analyzers, such as LAI2000 (LI-COR, Inc., Nebraska, USA) and the DeltaT Devices SunScan (Delta-T Devices, Cambridge, UK), are used for estimating leaf area index ofeldgrown rice plants. A nondestructive and high-throughput method for GLA estimation of rice is needed
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