APP_TRI Operational Group: Development of a digital platform for monitoring and improving wheat crop productivity
- Type Operational group
- Status In progress
- Execution 2024 -2027
- Assigned Budget 507.255,00 €
- Scope Supraautonómico
- Autonomous community Aragón; Madrid, Comunidad de
- Main source of financing PEPAC 2023-2027
APP-TRI aims to determine the dynamics of the crop throughout the different phenological stages of the plant, based on the relationships between the absorbance values of the electromagnetic bands and the vegetation indices, obtained from the remote sensors installed in Sentinel-2.
In particular, the compilation of an extensive cereal (wheat) agronomic database will be carried out, which will allow the completion of the descriptive, predictive and prescriptive performance algorithms, developed by the members of this GO, which will give robustness to the predictive model of a computer application. These models have been built and designed with a database covering the period 2019-2023, on the performance of wheat crops in the autonomous communities of Andalusia, Valencia, Castilla y León, Castilla-La Mancha and Aragon. The results of the application of the model will be displayed in a digital application, and these will allow early decision-making in the management of wheat crops to improve farmers' practices (irrigation practices, fertilization, pest and disease control, etc.).
- 1. Detailed technical report on the history and evolution of wheat cultivation in Spain to date.
- 2. Database with productive parameters (yield maps), soil and climate, management and remote sensing of each plot in each year.
- 3. Wheat prediction model based on the developed algorithms.
- 4. Software application development
- 5. Selection and characterization of the "showcase" plots with wheat and their monitoring.
- 6. Evaluation of corrective measures on performance prediction.
- 7. Practical Guide for the correct use of the application. The Operational Group presents a predictive digital application for estimating wheat yield, suitable for various electronic devices (computer, tablet, or mobile phone), to determine, anticipate, and predict the wheat harvest up to 3 months in advance, in addition to accurately detecting possible deviations or anomalies in the agronomic management of wheat crops.
The ultimate goal is to provide the agri-food sector with a comprehensive, fast, and easy-to-use and interpret innovative tool tailored to the needs of the agricultural sector. It will also be accompanied by a practical user guide.
The project will promote the economic and sustainable development of the agricultural sector and the development of rural areas, thereby addressing the impact of the crisis affecting this crop and contributing to a resilient and sustainable economic recovery.
1. Historical analysis and current status of wheat cultivation in Spain.
2. Creation of a database of agronomic variables (yield) and physical variables (reflectance in electromagnetic bands) in wheat cultivation in the provinces studied.
3. Design of the models.
4. Development of the software application integrating the previous models.
5. Selection and monitoring of "showcase" plots with wheat.
6. Evaluation of corrective measures on performance prediction.
7. Writing a User Guide for the generated tool.
8. Activities to disseminate project results. Historical and current analysis of wheat cultivation in Spain.
To design a software application that allows for estimating wheat crop productivity by monitoring, processing, and interpreting data recorded in the yield maps generated, with a view to improving the economic benefits derived from agricultural operations, increasing efficiency, productivity, and environmental sustainability.
The project seeks to leverage Earth Observation technology within the EU's Copernicus program and improve its agronomic interpretation toward more efficient and sustainable precision agriculture.
- Detailed technical report on the history and current evolution of wheat cultivation in Spain.
- Database with productive parameters (yield maps), soil and climate maps, management and remote sensing data for each plot each year.
- Wheat prediction model based on the developed algorithms.
- Software application development.
- Selection and characterization of "showcase" wheat plots and their monitoring.
- Evaluation of corrective measures on performance prediction.
- Practical Guide for the correct use of the application.
- Coordinator/entity name: AGRARIAN ASSOCIATION OF YOUNG FARMERS
- Postal address: C/ Agustín de Betancourt 17, 2nd floor, Madrid, 28003
- Coordinator/entity email: innovacion@asaja.com
- Telephone: 915336764
- ASOCIACIÓN AGRARIA DE JÓVENES AGRICULTORES
- ASOCIACIÓN AGRARIA DE JÓVENES AGRICULTORES
- FERTINAGRO BIOTECH
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