project - EIP-AGRI Operational Group
FRUIT FORECAST
FRUIT FORECAST
Objectives
The main objective of the FRUIT FORECAST Project is to develop a model that provides advance information on the two main variables affecting the harvest planning in the peach and cherry growing: volume and harvest ripening.
Improving the reliability of harvest planning is a critical factor for competitiveness of fruit producers, while reliable harvest planning allows farmers to:
1) Make strategic business decisions, such as the optimal time to harvest.
2) Negotiate sales contracts (prices, delivery dates and volumes) with potential customers.
3) Reduce production costs thanks to more efficient resource management.
4) Optimise cold storage and logistics capacity for fruit plants.
Objectives
El Objetivo del Proyecto FRUITFORECAST es desarrollar un modelo para conocer con antelación las dos principales variables que afectan a la planificación de cosecha en el cultivo de melocotonero y cerezo: volumen y maduración de cosecha.
Lograr mejorar la fiabilidad de la planificación de cosecha es un factor crítico para la competitividad de las empresas productoras frutícolas, que permite al agricultor:
1) Tomar decisiones comerciales estratégicas, sobre el momento óptimo de cosecha por ejemplo.
2) Negociar contratos de venta con potenciales clientes.
3) Reducir los costes de producción gracias a una mayor eficiencia.
4) Optimizar la capacidad de frío y logística de las centrales frutícolas.
Activities
This Pilot Project is scheduled to run from March 2020 to March 2023 and is based on big data technology
Throughout the three years of the project, the following actions will be carried out in different phases:
Phase A: Data recovery.
Phase B: Selecting the plots to be sampled using prediction models to identify the most representative ones for each variety.
Phase C: Field data collection.
Phase D: Creation and training of prediction models, results testing and interaction with beneficiary companies in order to make the models as reliable as possible.
Phase E: Creation of a tool to display the results provided by the models.
Activities
Este Proyecto Piloto está basado en la tecnología vinculada al Big Data.
A lo largo del tres años del proyecto se desarrollarán las siguientes acciones que se llevarán a cabo a través de las siguientes fases:
Fase A: Recuperación de datos.
Fase B: Seleccionar las parcelas a muestrear a través de modelos de predicción para identificar aquellas parcelas más representativas de cada variedad.
Fase C: Recogida datos de campo.
Fase D: Creación y entrenamiento de los modelos de predicción, testeo de resultados e interacción con empresas beneficiarias para ajustar los modelos a la mejor fiabilidad posible.
Fase E: Creación de una herramienta de visualización de los resultados proporcionados por modelos.
Contexte
Meteorological variability caused by climate change produces uncertainty in crop growth, which is an added difficulty in crop planning, fruit growing in particular. The increase in volume and quality variability in peach and cherry production requires more and more investment in resources and technical equipment to plan harvests without improving accuracy.
Technical teams use different techniques (such as sampling, ripening and capacity controls) to establish the above variables of volume and optimal harvest time beforehand, but there is much room for improvement in the reliability of the results provided by these systems.
The large number of variables affecting both quality and quantity of production (such as weather conditions, plot characteristics, production areas, etc.) make obtaining reliable predictions using traditional approaches highly complex.
The operational group formed by the cooperative group FRUITS DE PONENT, and the CERIMA CHERRIES fruit company specialising in the production, packaging and export of cherries worldwide, in conjunction with the Institute of Agrifood Research and Technology (IRTA) and the RAW DATA company specialising in big data technology, will develop a tool based on prediction models that anticipate information on changes to quality parameters and harvest volumes for the peach and cherry sectors to improve the reliability of harvest planning
Project details
- Main funding source
- Rural development 2014-2020 for Operational Groups
- Rural Development Programme
- 2014ES06RDRP009 Spain - Rural Development Programme (Regional) - Cataluña
Emplacement
- Main geographical location
- Lleida
- Other geographical location
- Tarragona
€ 148612
Total budget
Total contributions from EAFRD, national co-financing, additional national financing and other financing.
Ressources
Contacts
Project coordinator
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FEMAC
Project coordinator