Journal ArticleDOI
New method to assess barley nitrogen nutrition status based on image colour analysis
Miguel Pagola,Rubén Ortiz,Ignacio Irigoyen,Humberto Bustince,Edurne Barrenechea,Pedro M. Aparicio-Tejo,Carmen Lamsfus,Berta Lasa +7 more
Reads0
Chats0
TLDR
In this article, a low-cost method to estimate the nitrogen nutrition status of plants using digital color image analysis was proposed and evaluated, and the performance of the proposed index is better than that of others previously investigated.About:
This article is published in Computers and Electronics in Agriculture.The article was published on 2009-03-01. It has received 138 citations till now. The article focuses on the topics: Hordeum vulgare.read more
Citations
More filters
Journal ArticleDOI
A review on the main challenges in automatic plant disease identification based on visible range images
TL;DR: An analysis of the challenges faced by automatic plant disease identification using visible range images, emphasizing both the problems that they may cause and how they may have potentially affected the techniques proposed in the past.
Journal ArticleDOI
Digital image processing techniques for detecting, quantifying and classifying plant diseases.
TL;DR: A survey on methods that use digital image processing techniques to detect, quantify and classify plant diseases from digital images in the visible spectrum, providing a comprehensive and accessible overview of this important field of research.
Journal ArticleDOI
Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index
TL;DR: The triangular greenness index (TGI) as discussed by the authors was proposed to measure the area of a triangle with vertices, where the vertices are divided into three bands: (λr, Rr), (λg, Rg), and (λb, Rb), where R is the wavelength and B is the reflectance.
Journal ArticleDOI
Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light.
TL;DR: This study showed that digital color image analysis could be a simple method of assessing rice N status under natural light conditions for different cultivars and different developmental stages.
Journal ArticleDOI
Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale
Mohammadmehdi Saberioon,M. S. M. Amin,A. R. Anuar,Asa Gholizadeh,Aimrun Wayayok,Siti Khairunniza-Bejo +5 more
TL;DR: Results confirmed that a low cost LARS system would be well suited for high spatial and temporal resolution images and data analysis for proper assessment of key nutrients in rice farming in a fast, inexpensive and non-destructive way.
References
More filters
Journal ArticleDOI
Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions
TL;DR: In this article, color slide images of weeds among various soils and residues were digitized and analyzed for red, green, and blue (RGB) color content, and several indices of chromatic coordinates were studied, tested, and were successful in identifying weeds.
Journal ArticleDOI
Automatic watershed segmentation of randomly textured color images
TL;DR: The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion.
Journal ArticleDOI
Identification of citrus disease using color texture features and discriminant analysis
TL;DR: In this article, the color co-occurrence method (CCM) was used to determine whether texture based hue, saturation, and intensity (HSI) color features in conjunction with statistical classification algorithms could be used to identify diseased and normal citrus leaves under laboratory conditions.
Journal ArticleDOI
An Algorithm for Estimating Chlorophyll Content in Leaves Using a Video Camera
TL;DR: It is shown that, for practical purposes, the chlorophyll content of leaves can be estimated with sufficient accuracy using a portable video camera and a personal computer.