Data management and decision-making in agriculture: Big Data and Artificial Intelligence
Description
This advanced training program is an initiative of the Cajamar Group Foundation and the Official College of Agricultural Technical Engineers of the Center (CITAC), designed for agricultural advisors : agricultural engineers, agricultural technical engineers, higher degrees, etc., with previous experience in digitization, interested in deepening their understanding of the application of advanced management tools and agricultural technology.
This 8-hour course delves into the application of Big Data and Artificial Intelligence for strategic decision-making in the agricultural sector, optimizing resource utilization and promoting more efficient management.
PROGRAM
Day 1 — Online: Focuses on the application of new technologies and data management systems in agriculture, showing their potential for strategic decision-making in the agricultural field.
- 4:30 PM - Module 1. Importance of New Technologies
Jesús Regodón Ruiz, Head of Digital Tools at Plataforma Tierra- Challenges in the sector. Benefits of new technologies. Big Data and AI. Success stories.
- 6:30 PM - Module 2. Big Data and Data Management
Emilio José Rodríguez Alises, Head of the agronomic area of Plantae- Challenges in the sector. Benefits of new technologies. Big Data and AI. Success stories.
- 8:30 p.m. - End of session
Day 2 — Hybrid (face-to-face and online): Focuses on the use of advanced models for resource optimization, precision agriculture advice, and agricultural mechanization.
The face-to-face session will take place at the headquarters of the College of Agricultural Engineers of the Center 21, Calle de Cristóbal Bordiú, 19-21 3º Dcha. 2, 28003 Madrid.
- 4:30 PM - Module 3. AI Applied to Agriculture
Jesús Regodón Ruiz, Head of Digital Tools at Plataforma Tierra- Yield and pest prediction. Optimization algorithms. Use cases.
- 6:30 PM - Module 4. Practical Data Workshop
Juan Esteban Ortiz Correa, Technical Manager at Plantae- Use of real data. Application of analysis. Discussion of strategies.
- 8:30 p.m. - End of the day