TrAgLor - Turkish Agricultural Learning Objects Repository


To browse objects by categories, please click on the concerned category link below. The number of objects located in each the categorie is shown between the parantheses follows category name. If you click on one of the categories you can display the subcategories under the clicked category. Clicking on a category links will also list the objects in that category. The objects belong to a certain category are shown below the list of categories. If you want to see an object's details please click one of the action links to the right side of the objects list.
All > Agricultural Research and Methodology


Designing Effective Questionnaires

This presentations shows how to design effective questionnaires and surveys

object summary view metadata metadata(xml)

GMO Risk Assessment Using Net Fitness Components Approach

This is an experimental program on GMO risk assessment using Net Fitness Components approach, created by Dr. William Muir and Dr. Rich Howard from Purdue University, and programmed by Doug King from Virginia Tech.. Its current model is for medaka and other fish that spawn daily.

object summary view metadata metadata(xml)


Hello world

object summary view metadata metadata(xml)

The Phosphorous Levels of Çukurova University Research Areas and Its Effect on Mycorrhiza Spore Development

The aim of this work is to determine the relationship between mycorrhiza and soil parameters affected from tillage practices which were employed at University Research Farm since the establishment of Departmental Research Sites. The type of mycorrhizal spores, organic matter, salt and available P, K...

object summary view metadata metadata(xml)

Computing Performance and Clustering Validity Comparison of Fuzzy C-means Algorithm for Different Cluster Volumes

Clustering is an unsupervised classification to assign similar data elements into certain groups, called clusters. Each cluster consists of elements that are more similar to each others when compared to elements in other groups. Although they can be categorized in several ways, clustering methods ca...

object summary view metadata metadata(xml)

A Programmatic Implementation of the Visual Assessment of Cluster Tendency Algorithm in R

In cluster analysis, the partitioning algorithms require a priori estimate of number of clusters (c) as an input parameter, and thus the success of partitioning depends mostly on this parameter. In order to find an optimal c, the obtained results are checked by the various cluster validity indices a...

object summary view metadata metadata(xml)