Media library

Innovations in hop cultivation in Spain, incorporating improvements in processes, technologies and sustainable management of water resources, fertilizers and pest control, promoting the organization and profitability of agricultural farms.

Eradication of bitter almond from marketing channels by implementing actions from production to industry and involving all links in the supply chain and all administrations.

Design and evaluation of a systematized mechanism for promoting the cultivation and use of legumes adapted to the needs of all agents in the animal feed chain.

Measuring GHG emissions from individual cows on dairy farms and their relationship to animal production, functionality and genetics will allow for the selection of animals that are more efficient in their use of feed and with lower GHG emissions.

Promote an innovative soil management model for extensive rainfed production systems aimed at improving organic matter and reducing greenhouse gas emissions in line with the 4 per thousand strategy.

Achieve more sustainable horticulture by implementing agro-environmental measures that maximize crop productivity through the intensification of ecological processes through functional biodiversity.

A system for monitoring, diagnosing and managing health and well-being information and its relationship with production, functionality and genetics in dairy cattle to obtain disease-resistant animals and reduce the use of antibiotics.

Significantly increase avocado productivity by promoting the proper expansion of cultivation into new areas and the transfer of technology related to cultivation techniques, plant material, and biological control.

Citrus identification is the main basis for varietal management and planning and is a problem for the industry. An authentication system is to be promoted and is associated with the development of a DSS for varietal selection.

Increase efficiency in irrigation and fertilization of citrus trees by implementing a comprehensive management service that captures data through ground and aerial sensors and processes them using Artificial Intelligence to improve fruit quality.

Project aimed at digitalization and innovation in order to improve reproduction and fertility through the processing and digitalization of data processing with artificial intelligence.

The project aims to develop strategies, in the pre-harvest and post-harvest stages, for certain active ingredients that are candidates for substitution in stone fruit, red berries and table grapes.

To combine innovation in the rural world through technological transfer and the use of silvopastoral systems for the production of native Celtic pigs that give rise to products of differentiating quality through the use of own resources that allow sustainable and environmentally friendly practices within the agricultural and forestry sectors, carrying out activities that mitigate climate change

Establish a dynamic network composed of an APP and 3 Living Labs (pilot projects) that facilitates and promotes the use of plant genetic resources for the entire agri-food sector, so that knowledge and needs are exchanged through collaboration in obtaining quality, sustainable and profitable products.

Creation of a marketing structure that analyses the current situation, develops a strategic internationalisation plan and that stimulates and facilitates the export of genetic material from select breeds.

Innovative application of an economical medium-density (MD) chip for the PRE that simultaneously allows for parentage control, early diagnosis of hereditary diseases (including those particular and specific to the PRE breed, such as cat neck among others) and chromosomal diseases, the detection of molecular markers related to economically important traits and the development of genomic selectio

The project addresses the hydrological, agronomic, environmental, climatic, social and economic challenges of these crops through the transfer of technology in three pilot areas.

Develop a quality standard for production processes and the minimum characteristics that must be met by the doses produced by artificial insemination centres for pigs in Spain.

Digitalisation, capture and use of the information available in dairy cattle farms with robotic milking in Spain to reinforce their sustainability. Capture the daily information collected by the milking robot at the level of each animal and relate it with data on foot health and udder health to select the animals that best adapt to robotic milking.

Project focused on the development of an advanced decision support system and the issuance of recommendations in the agricultural field for the dosage of biostimulants based on microalgae, fertilizers and soil correctors incorporated in microalgae and in water from irrigation channels, wells, etc., with their particular characteristics.