Taking a strawberry harvesting process is tedious and requires a lot of time for dedication, because small periods of time must be followed for the strawberry harvesting process and these times go hand in hand with revisions of the fruit in its entirety. Situation that falls on the need for a system that helps the collector as the main entity to keep track of said process, that is, software that can differentiate and select between colors and characteristics to be able to collect the strawberry. This problem leads to the development of a system that complies by means of algorithm the whole process to choose the strawberry at its exact point of maturation. The implementation of the algorithm contains a methodology based on a sequence of subprocesses such as: Pre-Processed, Segmentation and Extraction of Characteristics to be able to decide by means of an algorithm that strawberry is minutes for its subsequent collection. The elaboration of the system was used in MATLAB because it has more familiar functions to image processing and many projects derived in this area are made or carried out in this tool. It will have data collection in MySQL and finally, the data will be displayed in an Android application for the internal interested party.

Transaction processing systems (SPT) are the union of software, network equipment, servers, among others, that are used to work with large volumes of data. The inadecuated design of an SPT in one of its processes or the malfunction in one of its components or elements, it can directly impact the performance of an application and the company operation environment or product depending on the system objective, it could cause waste of time in process responses, it could have an impact on the total failure of the service. Failure to provide this service properly could cause economic losses in a company or organization.

The SIG allows us to make an exhaustive analysis of the territory in the most diverse areas. The SIG allows us to make an exhaustive analysis of the territory in the most diverse areas. They are versatile tools, with a wide field of application in any activity that entails a spatial component. The objective of this scientific resource is to perform an analysis of the use of technology for the data collection of geo-referenced points the effect that causes load and visualization time indexes for users under the comparison of two specific technologies, one of them Php and Ajax resulting in the recognition of the best technology and possible failure causes that make the processes much faster and when this does not happen.

In our world, the increase of vehicles in each city has been a constant problem causing an misnamed "vehicular congestion", the same that has been fought for each administrative sector, in this article, noting that they are the best tools for creating software that enables recommend solutions in vehicle descongestion, which is vital to a centralized approach fulfilling tasks, optimizing time resources are used to analyze the parameters that influence the vehicular congestion.

In the following article, we seek to analyze parameters that have an impact on vehicular congestion, such as density, speed and intensity, which allow finding certain indicators that may be related to problems raised on roads or avenues, such as: traffic slowness due to failure in synchronization of the traffic lights, the inconveniences caused during peak hours, etc. Using, information collected from media communication (newspaper), and data displayed by INEC, an analysis will be carried out applying formulas related to the mentioned parameters with certain characteristics found in transit, at a national level, including the most important cities how are Quito and Guayaquil.

At present where there are large volumes of information, recommendation systems are needed to help users find and evaluate articles of preference or interest. A number of investigations in this domain suggest that “best” recommendations, according to objective metrics, are sometimes not the ones that are most satisfying or useful to users. However, if the system assumes that user preferences are not in line with the recommendation made, mechanisms should be provided to put the user in control of the recommendations. The article investigates how to give control to the users in the systems of recommendation and the quality of these from a perspective centered on the user. We discuss a study that involved 4 scientific investigations related to the subject and consider parameters such as the type of recommendation system, the method used, the application area and the results obtained in those investigations. Which focuses on the accuracy and novelty of the recommended articles, and on the general satisfaction of the users. We have classified the recommendations considered with respect to these attributes and compared these results with measures of statistical quality of the algorithms considered. It is intended to generate new recommendations based on new preferences that could lead to greater user satisfaction and confidence in the system.