Smartphone image based digital chlorophyll meter to estimate the value of citrus leaves chlorophyll using Linear Regression, LMBP-ANN and SCGBP-ANN

Evaluation of a portable chlorophyll meter to estimate chlorophyll and nitrogen contents in sugar maple (Acer saccharum Marsh.) leaves

Portable, non-destructive chlorophyll meters could be a valuable tool for forest managers and researchers. The ability of such meters to assess both chlorophyll and nitrogen content has been well established for many agricultural species, but not wellstudied for North American forest tree species. The objective of this study was to evaluate the ability of a portable chlorophyll meter to estimat...

Comparing The ANN And Linear Regression In Estimation Of The Growth Model (The Case Of MENA)

External Defect classification of Citrus Fruit Images using Linear Discriminant Analysis Clustering and ANN classifiers

Linear Discriminant Analysis (LDA) is one technique for transforming raw data into a new feature space in which classification can be carried out more robustly. It is useful where the within-class frequencies are unequal. This method maximizes the ratio of between-class variance to the within-class variance in any particular data set and the maximal separability is guaranteed. LDA clustering mo...

Method For Digital Watermarking Using ANN

Soft computing in the area of information security is a promising field for the creation of intelligent solutions. This paper discusses a method for digital watermarking using artificial neural networks to realize secure copyright protection of visual information without any damage. The discussed watermark extraction keys and feature extraction keys identify the secure and unique hidden pattern...

Higher Order Fitting based Image De-noising using ANN

The images usually contain different types of noises while processing, coding etc. Image usually contains noise because of poor transmission purposes. As a result, it produces bad image which is difficult for processing purposes. The currently available methods are usually based on wavelet transformation. Some of these methods still have problem in tackling with noise. This paper presents an ar...