Integrated Monitoring and Prediction System for Multivariable Irrigation Using Deep Learning Techniques for Banana and Avocado Crops
Data
Acronym: REGADIA
Reference: PLEC2022-009444
Partners: University of La Laguna (ULL) Instituto Canario de Investigaciones Agrarias (ICIA), Instituto Tecnológico y de Energías Renovables (ITER).
Collaborating partner: Oficina del regante (Cabildo de Tenerife)
Duration: 2022-2025
Budget: 490,734.80 €
Co-financing: Strategic Lines Call 2022. State Plan for Scientific and Technical Research and Innovation 2021-2023. Ministry of Science and Innovation. Project PLEC2022-009444 funded by MCIN / AEI / 10.13039 / 501100011033 and by the European Union NextGenerationEU / PRTR.
Project overview
The main objective of the REGADIA project is to contribute to the optimization of water resource use on farms by implementing an integrated crop monitoring system and forecasting multivariate irrigation needs based on soil moisture parameters, water supply, crop stage, and climatic conditions.
A network of sensors will be deployed to measure soil moisture in different locations of banana and avocado plantations, the crops with the highest water consumption in the Canary Islands. A local communication system, self-sufficient in terms of energy thanks to the installation of photovoltaic cells, will be responsible for transmitting data in real-time to an IoT server instance in the cloud where a common data repository will be generated.
The crop stage and plant water needs will be measured using multi-spectral aerial data in combination with satellite imagery from the Copernicus system. Low-altitude multispectral images will be collected by UAVs equipped with state-of-the-art sensors in the different bands of interest for the characterization of vegetation indices.
Based on the data collected by soil moisture sensors and multispectral images, and their combination with water input data and related meteorological variables, the consortium will work on the development of deep learning predictive models to forecast crop irrigation needs, adapted to the characteristics of each farm, considering soil composition and geographical and meteorological conditions.
Graphic of the system to be designed in the REGADIA project.
The REGADIA project (PLEC2022-009444), coordinated by the Robotics Unit of ITER, will last 36 months and is funded by the Ministry of Science and Innovation and the State Research Agency (10.13039/501100011033) and by the European Union within the framework of the EU Next Generation EU Recovery Plan and the Spanish Recovery, Transformation and Resilience Plan (PRTR).
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