Research Project

DEMETER 5.0: Sistema digitalizado para la producción sostenible de algodón hidropónico en invernadero

Type

National Project

Start Date

01/11/2022

End Date

31/10/2025

Project Code

PLEC2022-009289

Project illustration

Staff

Project Description

The overall goal of the DEMETER 5.0 project is the creation of an integral environmentally friendly production system supported by a multilayer digital platform, System of Systems (SoS), that allows the orchestration of heterogeneous data sources and the design of agricultural processes via its engines using DLT-based technologies and AI, Knowledge Bases, Decision Support Systems, modeling, tailored to real environments to tackle the needs of the stakeholders towards climate smart agriculture of high quality products (e.g., cotton).

The following stand out as main innovations:
● Disruptive hydroponic cultivation application for other non-food crops of key economic value worldwide, however unsustainable nowadays due to traditional cultivation methods, grown in the open field with scarce digitalization technology implementation
● The project introduces blockchain technology to ensure the traceability of the entire production process, an element that is being key in the textile industry to fight against falsification of guarantees in organic products, origin of raw materials and production methods.
● The digitization and robotization of the new cotton production system and the interoperable platform will facilitate shortening the supply chain for the textile industry, favoring the development of this type of crop in Spain and Europe compared to traditional producers in China and India, as well as the consequent flourishing of local industry in Spain.


Project PLEC2022-009289 funded by MCIN/ AEI /10.13039/501100011033 and by the "European Union NextGenerationEU/PRTR"

Consortium:
- Universidad de Murcia - Coordinator
- Institut de Robòtica i Informàtica Industrial (IRI), CSIC-UPC
- Riegos y Tecnologías, S.L.
- Nath 2004, S.L.
- Centro de Edafología y Biología Aplicada del Segura (CEBAS), CSIC

Project Publications

Conference Publications

  • A. Martínez and S. Foix. Continuous object orientation estimation of cotton crops using deep convolutional neural networks, 27th Catalan Conference on Artificial Intelligence, 2025, Valls, Vol 410 of Frontiers in Artificial Intelligence and Applications, pp. 270-274, IOS Press.

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  • G. González, S. Foix and G. Alenyà. An improved YOLO11 model for accurate cotton growth-stage detection, 27th Catalan Conference on Artificial Intelligence, 2025, Valls, Vol 410 of Frontiers in Artificial Intelligence and Applications, pp. 266-269, IOS Press.

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  • G. González, A. Martínez, V. Martínez, S. Foix and G. Alenyà. Fast ready-to-harvest cotton detection and classification with YOLOv8 in greenhouse crops, 7th Iberian Robotics Conference, 2024, Madrid, Spain, pp. 1-6.

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