Today information technologies in the agricultural sector are widely used and this paper presents the development of a Web application that aims to manage the information generated by the application of biological traps that are installed in plots contaminated by the worm plague. armyworm (Spodoptera Frugiperda), these are developed by the Center for Innovation and Technological Development (CiDT) and distributed to corn producers in the Mezquital Valley to combat the plague. The Web application was developed with the agile development methodology called incremental, PHP technology, the MySQL Database Management System and the Here® WeGO API for manipulating georeferenced maps. To guarantee the functionality of the Web application, unit tests were implemented, defining use cases with information provided by CiDT. This Web application represents the first stage of a Hybrid Information System whose goal is to serve CiDT as a tool for monitoring and analyzing the behavior of the fall armyworm plague.
Nowadays, the generation of information through digital text documents has increased exponentially, so there is a need to store documents in mass storage devices such as high capacity hard discs, storage servers, the cloud and others. However, the storage that is carried out lacks a thematic organization, therefore, a search for information becomes complex. Given this problem, this publication describes the development of a system that has the purpose of classifying a digital text document based on the thematic content. This system implements ontologies to achieve a better classification by taking advantage of its characteristics. The system is divided into five tasks: the first is the implementation of a word count to create a frequency vector; The second task performs a refinement on the frequency vector to eliminate the sentence connectors and prepositions; the third task orders the vector from the highest to the lowest frequency; the fourth task takes the most significant set of frequencies vector, in which the ontology of a domain is applied and the relation that the words have to determine the thematic of the document is sought; and the fifth task is to organize the documents in a folder structure based on the identified domains. The system was developed with the incremental development methodology. To validate the operation of the system, a set of tests was carried out in a controlled scenario in order to verify the correct classification of the documents.
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