We propose in this paper a new method for measuring a number of leaf dimension parameters including height, width, average width, perimeter and area. A digital scanner is utilized to acquire leaf images, which unlike digital cameras, requires no calibration in terms of size and angle of the acquired images. Edge detection, filtering and thresholding algorithms are applied to identify the leaf section of the image against the background. Forty leaves that differ in shape and size were used to validate the estimated parameters against the true values and parameters produced by the popular Li-Cor 3100. Data indicated that the proposed method achieved a constantly high accurac
Software supporting the measurements of leaf area using digital photographs requires a frame refere...
The study presents a plant recognition system that uses image and data processing techniques for rec...
ABSTRACT In farming the measurement of leaf coverage is considered as an exhaustive task for the res...
Increasingly emerging technologies in agriculture such as computer vision, artificial intelligence t...
Leaf geometric properties play an important role in plat study. This paper aims to propose a method ...
A nondestrive method of leaf area estimation was evakuated on two year old hazelnut plants cv. Tonda...
A scanner image methodology was used to determine plant dimensions, such as leaf area, length and wi...
Abstract-Several commercial softwares are available for plant leaf area measurement. But no freeware...
Measurement of leaf areas from digital photographs has traditionally required significant user input...
The effects of shape, size, and capture resolution on digital area measurement were investigated to ...
Several commercial softwares are available for plant leaf area measurement. But no freeware is avail...
In this study, an image-analysis-based method is proposed to estimate the length and width of plant ...
A measurement of leaf area is apparently simple and fundamental. Various methods are available to m...
Premise of the study: Measurement of leaf areas from digital photographs has traditionally required ...
We present an approach to leaf level segmentation of images of Arabidopsis thaliana plants based upo...
Software supporting the measurements of leaf area using digital photographs requires a frame refere...
The study presents a plant recognition system that uses image and data processing techniques for rec...
ABSTRACT In farming the measurement of leaf coverage is considered as an exhaustive task for the res...
Increasingly emerging technologies in agriculture such as computer vision, artificial intelligence t...
Leaf geometric properties play an important role in plat study. This paper aims to propose a method ...
A nondestrive method of leaf area estimation was evakuated on two year old hazelnut plants cv. Tonda...
A scanner image methodology was used to determine plant dimensions, such as leaf area, length and wi...
Abstract-Several commercial softwares are available for plant leaf area measurement. But no freeware...
Measurement of leaf areas from digital photographs has traditionally required significant user input...
The effects of shape, size, and capture resolution on digital area measurement were investigated to ...
Several commercial softwares are available for plant leaf area measurement. But no freeware is avail...
In this study, an image-analysis-based method is proposed to estimate the length and width of plant ...
A measurement of leaf area is apparently simple and fundamental. Various methods are available to m...
Premise of the study: Measurement of leaf areas from digital photographs has traditionally required ...
We present an approach to leaf level segmentation of images of Arabidopsis thaliana plants based upo...
Software supporting the measurements of leaf area using digital photographs requires a frame refere...
The study presents a plant recognition system that uses image and data processing techniques for rec...
ABSTRACT In farming the measurement of leaf coverage is considered as an exhaustive task for the res...