Base de dados orientada a grafos para armazenamento e manipulação de dados espaço-temporais de produção agrícola

Abstract

Agricultural production has tradition, and economic relevance for the State of Rio Grande do Sul, which has more than 7.5 million hectares for temporary crops. These numbers, however, can still be increased through the use of precision farming techniques. Precision agriculture aims to increase the production yield by dealing with spatial variability with differentiated management zones. Production maps are an effective tool to acquire knowledge regarding spatial variability. Production yield and other production-related variables have both spatial and temporal characteristics. An infrastructure that stores and manipulates this data can help small producers and researchers use these techniques by providing new and better ways of visualizing the information. This work aims to model a spatio-temporal database for storing data from agricultural production and build a web tool for manipulating the stored values. This work presents a data model created using a graph database, comparing its performance against a relational one, showing the graph database’s superiority regarding information retrieval operations. We also present the AGROGRAPH system: a web tool for inserting and consulting georeferenced data with different temporal gathers. AGROGRAPH also implements the kriging geostatistical technique for any stored variable, allowing a spatialized display of continuous variable values.