Projects supported by Government institutions
Development of a system for remote detection and microbiome analysis to obtain more resilient and healthy crops
The main objective of this project is to combine high spatio-temporal resolution remote sensing with state-of-the-art crop microbiome analysis and machine learning models to improve or reinforce some of our current procedures and create a predictive model of soil resilience to climate change impacts and management intensity in agricultural soils. To achieve this, the following specific objectives have been defined:
1. To develop a predictive model of soil resilience and soil health based on the characterization of the influence of environmental conditions and agricultural management intensity on soil abiotic properties and the structure, composition, diversity and functionality of the soil microbiome.
2. To develop a system of crop soil microbiome sampling strategies using high-resolution remote sensing techniques.
3. To understand the real effect of the presence of pathogenic microorganisms on crop productivity and design a pest risk mapping system combining remote sensing, microbiome sequencing, and Artificial Intelligence techniques.
Call for R&D Projects. Project funded by the European Regional Development Fund (ERDF) of the European Union and Junta de Castilla y León, through the Institute for Business Competitiveness of Castilla y León (ICE), with the aim of promoting research, technological development and innovation. File reference 04/18/VA/0173. Execution period from 03/06/2022 to 31/12/2025.
Automatized Data-driven recomendation engine
Soil microbiome modeling platform with Artificial Intelligence for a sustainable improvement of production
The main objective of this project is to enable precision agriculture with individualized treatments that improve the health and yield of crops and soil, through computational analysis of interventions in their microbiome. To achieve this, the following specific objectives have been defined:
1. Analyze the microbial composition of the soil using NGS (Next Generation Sequencing) techniques.
2. Identify changes in the microbiome as a consequence of treatment with agricultural inputs.
3. Use the information collected to design, develop and train a decision engine with Artificial Intelligence.
4. Demonstrate the predictive capacity of the recommendation engine in pilot field tests.
The final result will be a decision engine based on Artificial Intelligence for the recommendation of bio-products through the microbiome that will allow a further step towards precision agriculture.
2021 CALL OF AID FOR RESEARCH AND DEVELOPMENT PROJECTS IN ARTIFICIAL INTELLIGENCE AND OTHER DIGITAL TECHNOLOGIES AND THEIR INTEGRATION INTO VALUE CHAINS C005/21-ED. File 2021/C005/00149785. Execution time from 08/10/2021 to 22/05/2024.
Proyect funded by the European Union– NextGenerationEU, through the Recovery, Transformation and Resilience Plan for the Spanish economy.