Journal ArticleDOI
Identification of citrus disease using color texture features and discriminant analysis
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TLDR
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.About:
This article is published in Computers and Electronics in Agriculture.The article was published on 2006-06-01. It has received 310 citations till now. The article focuses on the topics: Hue.read more
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Journal ArticleDOI
Deep learning for plant identification using vein morphological patterns
TL;DR: This work proposes using a deep convolutional neural network for the problem of plant identification from leaf vein patterns and considers classifying three different legume species: white bean, red bean and soybean, and shows that the reported accuracy is reached by increasing the model depth.
Journal ArticleDOI
Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
TL;DR: In this paper, a multivariate calibration technique was used for the determination of moisture content (MC), total soluble solids (TSS), and acidity (expressed as pH) in strawberry images.
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
Erratum to: Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables
TL;DR: This work presents the latest developments in the application of Hyperspectral technology to the inspection of the internal and external quality of fruits and vegetables.
References
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Journal ArticleDOI
Linear Statistical Inference and Its Applications.
Journal ArticleDOI
Remote Sensing for Crop Management
Paul J. Pinter,Jerry L. Hatfield,James S. Schepers,Edward M. Barnes,M. Susan Moran,Craig S. T. Daughtry,Dan R. Upchurch +6 more
TL;DR: With the development and use of various remote sensing methods for non-destructive monitor- ing of plant growth and development and for the detection of many environmental stresses which limit plant productivity, a great deal of fundamental information relating spectral reflectance and thermal emittance properties of soils and crops to their agronomic and biophysical characteristics has been provided as mentioned in this paper.
Book
Practical Handbook on Image Processing for Scientific Applications
Bernd Jähne,Bernd Jaehne +1 more
TL;DR: Carefully selected algorithms are described in detail and demonstrated with real-world applications that show the reader how to solve complex image processing tasks.