Media library

Improving the added value of extensive beef through environmental labelling and marketing on a blockchain platform.

Implementation of innovative measures to improve and standardise the quality of wool, allowing for its revaluation and easier classification by quality, giving the farmer negotiating power over third parties, shortening the marketing channels for wool, reducing the carbon footprint and attracting young rural people and wool artisans attracted by the local industry.

Increase productivity, profitability, sustainability and adaptation to climate change in sunflower cultivation by developing a predictive model incorporated into an intuitive and freely accessible decision-making APP.

Development of new feeds enriched with fungi and algae with antimicrobial, immunomodulatory and anti-inflammatory capacity.

Creation of a Veterinary Syndromic Surveillance Platform that provides information on the health status of the Spanish livestock population almost in real time.

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.

Increase the production of grain legumes in Spain through the implementation, transfer and dissemination of innovative cultivation systems and techniques that allow for increased profitability of 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.

Proposal to improve the efficiency of water and energy use at the plot scale by defining a system of management indicators and applying a comparative analysis to extract value from shared macro-data.

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.

Improving the sustainability and profitability of corn cultivation in Spain by using digital technologies and tools and its environmental certification throughout the value chain.

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.

Build a technological platform for the digitalization and complete control of greenhouse production related to productivity, sustainability, optimal performance and traceability.

Comprehensive management of animal tuberculosis from a "One Health" perspective with innovative biosecurity measures for livestock farms, wildlife management, advanced environmental diagnosis and transfer of available knowledge.

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.

Innovation project for the remote monitoring of beehives and apiaries with the aim of increasing the competitiveness and efficiency of beekeeping farms and improving the sanitation, traceability and quality of honey.

Development of the growth curve, understanding consumer perception regarding horse meat, defining a system for classifying carcasses, understanding carcass and cutting yields, and developing and validating processed products.

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.