Project-SmartProduce – MORECoLAB – Montanhas de Investigação

Identification & Background

Project title: SmartProduce – Smart System for Producers

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

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Operation Sheet

Project Description: SmartProduce is a project that aims to develop an intelligent decision support platform for agricultural management, integrating agroclimate data collection, IoT technologies and advanced artificial intelligence algorithms. The solution will transform data collected in the field into useful information for producers, through the generation of automated alerts, production forecasts and recommendations for optimization of agricultural practices, contributing to a more efficient agriculture, sustainable and data-driven.

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

Total eligible investment: €831,000.00
Financial support: €632,536.86

Promoters: Skillent Lda.
Co-promoters: Associação de viticultores do concelho de Palmela, Instituto Politécnico de Bragança, Universidade de Coimbra, Laboratório Colaborativo Montanhas de Investigação – Associação.

Development and improvement of models and algorithms for agricultural management.
Optimization and construction of algorithms for harvest forecasting.
Development of models for market forecasting.
Characterization of strategies in agricultural systems.
Design of the intelligent platform to support agricultural decision.
Use vines as a real-world test environment to validate system performance and demonstrate its benefits for agricultural production.

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

Digital SmartProduce Platform: Development of an integrated digital platform that collects, processes and visualizes agricultural data to support data-driven crop management.
Intelligent Field Monitoring System: Implementation of a sensor-based monitoring infrastructure to collect real-time environmental and agronomic data from vineyards.
AI-Based Forecasting Models: Development of artificial intelligence models capable of predicting crop yields, quality and potential environmental risks.
Three integrated smart modules: Implementation of precision agriculture, forecasting and agricultural management modules in the SmartProduce platform.
Pilot demonstrations in vineyards: Validation of the SmartProduce system through implementation and real-world testing in vineyard environments.
Agricultural knowledge and database: Creation of an integrated database combining sensor data, environmental information and crop management records.
Best practices for digital agriculture: Development of technical guidelines that support the adoption of digital and precision farming solutions.
Dissemination and knowledge transfer: Production of scientific publications, technical reports, workshops and dissemination activities to share project results.

Identification & Background

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