Project-SmartProduce – MORECoLAB – Montanhas de Investigação

Identification & Background

Project title: SmartProduce – Smart System for Producers

Operation code: COMPETE2030-FEDER-01204700, LISBOA2030-FEDER-01204700

Operation Sheet

Main objective: The SmartProduce project arises from the need for an intelligent system to support agricultural decision and management. This system should be simple, efficient, integrated and functional. The solutions currently available on the market do not offer many of the necessary requirements, namely:
Automated collection of agroclimatic data in the field.
Automated collection of general climate data.
Identification of trends.
Production forecast.
Sending automatic alerts.

Region of intervention: Portugal

Leader: Skillent Lda.
Partners:
Avipe;
Instituto Politécnico de Bragança;
Laboratório Colaborativo Montanhas de Investigação – Associação;
Universidade de Coimbra;

Date of approval: 17/04/2023
Start date: 01/01/2025
Date of completion: 31/12/2027

Total eligible investment: 831,000.00
Financial support from the European Union: €632,536.86
EU co-financing: 76.12%

Development and improvement of models and algorithms for agricultural management.
Optimization and construction of algorithms for colheita.
Development of models for market forecasting.
Characterization of strategies in agricultural systems.
Development of the modules (Agricultural Management, Production Forecasting and Precision Agriculture) that will compose the intelligent farm decision support system.

The activities to be carried out are described as follows:

Activity 1: Definition of technical and functional requirements and technological benchmarking.
Activity 2: Definition and implementation of the supporting infrastructure.
Activity 3: Artificial intelligence algorithms for agricultural management.
Activity 4: Interfaces, integration and testing.
Activity 5: Demonstration and validation.
Activity 6: Dissemination, communication and business plan.
Activity 7: Project management

Solid benchmarking associated with technologies applied in precision agriculture.
Artificial intelligence algorithms for forecasting and agricultural management assistance.
Development of the intuitive and functional platform.
Solid business plan for exploitation of the results obtained in the project.

Identification & Background

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