Aporta Challenge 2019

A predictive model which offers the market an objective assessment of the prices of fish caught. The publication of this short-term information makes it possible to know how supply is going to change over time, which may help to rationalise the exploitation fishing grounds by allowing the fleet to know in advance what demand is like in the fish market. Moreover, fishermen can use the results to find out what the price of products is in the different fish markets and redistribute the sale of those products in whatever way they think appropriate.

This proposal combines economic analysis relating to automated prediction with machine learning techniques, based on raw data from three sources which influence the catch rate in the fishing grounds: the characteristics of the fleet which operates in the fishing grounds, the meteorological factor in the geographical area of the fishing grounds and other socio-demographic factors associated with consumers.

A mobile application which allows users to programme irrigation and fertilisation, in an optimal manner, using recycled water, that is, from treated waste water. In this case, it has been designed specifically for olive groves, given their social and economic importance to the country.

Managing waste water is complicated because of the need to control certain parameters, such as the nutrient content. The application makes it possible to manage irrigation and fertilisation together, taking into account those particular features, with the aim of increasing the yield from agricultural production and reducing its environmental impact. To that end, it uses specific data from the plantation and open data from SiAR (Sistema de Información Agroclimática para el Regadío (agricultural weather information system for irrigation) from the Ministry of Agriculture, Fisheries and Food), the Andalusian network of agricultural weather stations (Red de Estaciones Agroclimáticas de Andalucía), the Spanish national meteorological agency (Agencia Estatal de Meteorología: AEMET) and eltiempo.es.

A mobile application which allows users to programme irrigation and fertilisation, in an optimal manner, using recycled water, that is, from treated waste water. In this case, it has been designed specifically for olive groves, given their social and economic importance to the country.

Managing waste water is complicated because of the need to control certain parameters, such as the nutrient content. The application makes it possible to manage irrigation and fertilisation together, taking into account those particular features, with the aim of increasing the yield from agricultural production and reducing its environmental impact. To that end, it uses specific data from the plantation and open data from SiAR (Sistema de Información Agroclimática para el Regadío (agricultural weather information system for irrigation) from the Ministry of Agriculture, Fisheries and Food), the Andalusian network of agricultural weather stations (Red de Estaciones Agroclimáticas de Andalucía), the Spanish national meteorological agency (Agencia Estatal de Meteorología: AEMET) and eltiempo.es.

A website which facilitates access to and the use of data from the National Forestry Inventory (Inventario Forestal Nacional: IFN), by creating a five-star Linked Open Data (LOD) source using the IFN itself and the GeoNames geographical database. This new five-star data source facilitates advanced queries, integration with other data sources and the enrichment of data by third parties.

Specifically, the web application consists of an interactive map on which areas of the map can be selected easily to show the inventory data. Its possible benefits include the monitoring and analysis of forest risks such as plagues and fires, the development of the forest bioeconomy and the conservation of biodiversity.

An application to promote the initiation, development and maintenance of viable business models in the rural sector. The aim is to bring together, on a single platform, relevant data which make it possible to see what opportunities there are, as well as facilitating interaction and cooperation between different actors interested in the progress of the rural sector: workers, associations, companies and public authorities.

To develop the pilot project, the autonomous region of Aragon has been used as a reference, using demographic indices and other data, such as the distribution of municipalities by areas and the aid and subsidies general database. Among other things, the tool makes it possible to prepare socio-demographic profiles of the population of a specific area, in order to find out whether the product to be offered would have commercial prospects. It also makes it possible to see the possible means of financing, support and/or collaboration, and also to find out what companies are hiring certain profiles of workers.

A web application which helps with finding the best location for setting up and/or developing a business in the rural world. It includes a list of predefined criteria for describing the qualities, characteristics and services of a particular rural area, such as, for example, the climate, the services in the area, the infrastructure and the support available.

The application includes a chatbot which, using natural language, converses with users to obtain the list of criteria which the town they are looking for must fulfil. It then displays a map of all of the localities which fulfil the criteria of interest to the user. Along with the map, it offers a series of filters to allow the user to refine the search.

For the first version of the web application, the autonomous region of Castile-León has been chosen, using data such as support for young people and female entrepreneurs, the number of schools, the rail network map and the number of people seeking work.

Web-based system for estimating the cubic capacity of poplar groves at local level in La Rioja, although it could be exported to the Ebro and Duero basins. The main aim is to offer poplar growers a prototype capable of providing information on the forest stock of their plots with a view to addressing when to sell the wood.

The system is capable of providing forestry information in real time to any owner requesting it, highlighting the information generated in the Forest LidaRioja operating group. The tool builds on the lessons learnt with regard to forestry applications from LiDAR PNOA in the last 10 years in Spain and applies them to a sector where, currently, all of the trees are still being measured foot by foot.

A web application with an open licence which makes it possible to display a map of the more than 36,000 organic agri-food operators and access their detailed information. The aim is to provide those operators with greater visibility and to facilitate direct contact both between producers and consumers and between the organic businesses themselves. The end consumer will then be able to purchase products directly at their source, removing the intermediaries from the marketing chain. That leads to greater financial gains for the producer and reduces the environmental impact.

The application uses open data sets, such as the register of manufacturers and producers of organic foods in Castile-La Mancha and information from the certification bodies authorised by each autonomous region.

A mobile application making it possible to locate the plots were fertilisation, fumigation or watering is required; the system detects the nearest weather stations of the Murcia Institute for Agriculture and Food Research and Development (Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario: IMIDA) and, in real time, provides the meteorological variables needed for the action to be carried out.

The system, which uses a series of algorithms to personalise the variables according to the type of crop, makes it possible to store plots by user so that users can view the variables without having to re-enter details. It also allows users to set alerts for weather incidents of any kind, such as frosts, heatwaves, strong winds, etc.

Web search engine for locating sustainable destinations, based not only on the hotel but also on the surroundings. Its aim is to promote responsible and sustainable tourism and so help to preserve the planet. The application takes various factors into account in order to establish whether a trip is sustainable: the means of transport to be used, the CO2 which it will produce, noise pollution at the location, etc.

The search engine uses open data from datos.gob.es (air quality, noise pollution, environmental inspection reports, municipal sustainability indicators and others) and other open data sources (wikipedia, LOD cloud, etc.).