Projects
Projects
Main Projects
POSHMyCo
(Project in progress)
Potential of selective harvest based on mycotoxins content assessment in cereal crops. An ICT-AGRI-FOOD Project looking for establish a novel solution to reduce the risk of mycotoxin contamination in food products originated from barley and wheat grains by adopting smart farming technologies.
Dronfruit
2018 – 2020
Dronfruit (Drilling and integrated management in fruit trees using drones and artificial vision) aims to develop and validate an orange detection system using RGB images obtained by flight from a UAV in combination with a Machine Learning model.
RHEA Project
2011-2014
RHEA (Robot Fleets for Highly Effective Agriculture and Forestry Management) were focused on the design, development, and testing of a new generation of automatic and robotic systems for both chemical and physical effective weed management, covering a large variety of European products including wide row crops, close row crops and forestry woody perennials.
VAROS
The general objective of VAROS (Variable Rate Operations for Orchards) is the development of an innovative solution based on the use of multiple sensors and devices to evaluate the spatial variability that may exist in crop plots, create prescription maps and devices capable of performing variable input applications.
Other Projects
- Within Row Weed Control System for Transplanted Processing Tomatoes (2009-2013). Funded by California Tomato Research Institute (CTRI)
- Decision Support for Optimized Site-Specific Fertilization based on Multi-source Data Standardized Tools (2019-2021). Funded by ICT AGRI call 2018-European Commission
- Riego deficitario controlado del olivar de alta densidad: programación automática basada en la fisiología de la planta y en la economía de manejo del cultivo. (2013-2015). AGL2012-34544. Funded by Spanish Government.
- Non-chemical precision weed management based on air-propelled abrasive agricultural residues (2014-2017). AGL2013-46343-R. Funded by Spanish Government.
- Caracterización de la respuesta fenotípica del trigo y el maiz al deficit hídrico mediante tecnologías de detección remota y análisis de datos (2017-2020). AGL2019-78964-R. Funded by Spanish Government
- LiDAR and hyperspectral measurements for the determination of wheat rust severity and its impact on crop yield (US-1263678)
- Smart ag Services (Serv. Avanzado de Agricultura de Precisión Ent. Asoc. Agrarias de Andalucía. Grupo Operativo (Funcionamiento) (GOP2I-SE-16-0042)
- Aforamiento y manejo integrado en frutales mediante drones y visión artificial (GOP21-SE-16-0048)