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AGROALNEXT Project: Development of an integrated decision support model for water resource management in areas of intensive agriculture under the influence of climate change

  • Type Project
  • Scope Autonómico
  • Autonomous community Murcia, Región de
  • Main source of financing NextGenerationEU
  • Project website Web del Proyecto
Description
The project develops a decision support model for water management in intensive agriculture in the face of climate change. NVIDIA Tesla A100 GPUs were acquired, and viable data acquisition strategies and models for AI training were analyzed.
Contextual description
Addressing the growing need for efficient water management in intensive agriculture, especially in light of the impacts of climate change.
Results
Real-time soil moisture monitoring system at various depths. LLM model capable of interpreting technical data and generating understandable recommendations. Future validation of the application's potential for optimizing agricultural irrigation.
Contact information
  • Coordinator/Entity Name: Francisco Arcas Túnez|Javier Senent Aparicio
  • Mailing address: Not available
  • Email coordinator/entity: farcas@ucam.edu
  • Phone: Not available
Coordinators
  • UCAM