Non-destructive measurement for estimating leaf area of Bellis perennis

Indera Sakti Nasution

doi:10.17969/rtp.v10i1.7456

Abstract

Non-destructive measurement of approaches of modeling can be very convenient and useful for plant growth estimation. This study, digital image processing was evaluated as a non-destructive technique to estimate leaf area of Bellis perennis. The plant samples were growing in the greenhouse and the images were taken every day using Kinect camera. The proposed method used combination of L*a*b* color space, Otsu’s thresholding, morphological operations and connected component analysis to estimate leaf area of Bellis perennis. L* channel was used to distinguish the leaves and background. Calibration area uses a pot of known area in each image as a scale to calibrate the leaves area. The results show that the algorithm is able to separate leaf pixels from soil or pot backgrounds, and also allow it to be implemented in greenhouse automatically. This algorithm can be used for other plants in assumption that there is not too much leaf overlapped during measurement.

Highlights

Leaf area plays an important role in photosynthesis, water and nutrient use,light interception, yield potential and crop growth(Aase, 1978; Smart, 1985; Williams, 1987).Arapid, accurate and non-destructive method for the estimation of leaf area may be useful to predict the relationship between leaf area and plant growth rate (Gamiely et al, 1991; Montero et al, 2000)
Considering that leaf area and crop growth are both affected by nutritional conditions, more reliable results may be obtained through the addition of nutritional factors to the models
Materials and Methods Bellis perennisimages were taken every day in greenhouse with a Kinect camera (Xbox 360).The Kinect camera is an ultra-low cost vision sensor originally developed for Microsoft Xbox 360

Summary

Introduction

Leaf area plays an important role in photosynthesis, water and nutrient use,light interception, yield potential and crop growth(Aase, 1978; Smart, 1985; Williams, 1987).Arapid, accurate and non-destructive method for the estimation of leaf area may be useful to predict the relationship between leaf area and plant growth rate (Gamiely et al, 1991; Montero et al, 2000). In order to monitor continuous changes in leaf area and the subsequent growth, a modeling method is necessary. Simple regression models, related to leaf area and cropgrowth ratehave been applied to estimate crop yields (Montero et al, 2000). The objective of this study was to develop method that capable of accurately estimating leaf areaof Bellis perennis plant using digital image processing

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Conclusion