José Boaventura-Cunha

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Associate Professor

Universidade de Trás-os-Montes e Alto Douro

Portugal

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About

José Boaventura-Cunha is an Associate Professor at Universidade de Trás-os-Montes e Alto Douro in Portugal (+351). His research areas encompass robotics in agricultural practices, precision fertilization technologies, and advanced sensing methods for hydroponics. Recent publications include works on robotic bin-picking frameworks, grapevine node detection automation, and dynamic modeling of thermal solar heating systems.

Recent Grants

Grant: Close

MetBots - Robots para metabolómica utilizando inteligência artificial com auto-aprendizagem em agricultura de precisão.

Open Date: 2018-07-01

Close Date: 2020-07-01

Grant: Close

AGRINUPES - INTEGRATED MONITORING AND CONTROL OF WATER, NUTRIENTS AND PLANT PROTECTION PRODUCTS TOWARDS A SU STAINABLE AGRICULTU RAL SECTOR

Open Date: 2017-04-01

Close Date: 2020-12-01

Grant: Close

FOCUS - ADVANCES IN FORESTRY CONTROL AND AUTOMATION SYSTEMS IN EUROPE

Open Date: 2014-01-01

Close Date: 2016-06-01

Grant: Close

O papel da mediação do professor usando simulações computacionais para melhorar a aprendizagem de Ciências Físicas e da Engenharia

Open Date: 2011-01-01

Close Date: 2014-03-01

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Invited Auxiliary Professor

Instituto Universitário de Ciências da Saúde

PORTUGAL

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José Boaventura-Cunha

Research Interests

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About

Recent Grants

Articles (20)

Object segmentation dataset generation framework for robotic bin-picking: Multi-metric analysis between results trained with real and synthetic data

Precision Fertilization: A critical review analysis on sensing technologies for nitrogen, phosphorous and potassium quantification

Enhancing Grapevine Node Detection to Support Pruning Automation: Leveraging State-of-the-Art YOLO Detection Models for 2D Image Analysis

Reagent-less spectroscopy towards NPK sensing for hydroponics nutrient solutions

2D LiDAR-Based System for Canopy Sensing in Smart Spraying Applications

Topological map-based approach for localization and mapping memory optimization

Topological map-based approach for localization and mapping memory optimization

Localization and Mapping on Agriculture Based on Point-Feature Extraction and Semiplanes Segmentation From 3D LiDAR Data

Dynamic Modelling of a Thermal Solar Heating System

State of the Art of Wind and Power Prediction for Wind Farms

State of the Art on Advanced Control of Electric Energy Transformation to Hydrogen

Localization and Mapping on Agriculture Based on Point-Feature Extraction and Semiplanes Segmentation From 3D LiDAR Data

Unimodal and Multimodal Perception for Forest Management: Review and Dataset

Robotic grasping: from wrench space heuristics to deep learning policies

Grape Bunch Detection at Different Growth Stages Using Deep Learning Quantized Models

Smarter Robotic Sprayer System for Precision Agriculture

Influence of Air Vents Management on Trombe Wall Temperature Fluctuations: An Experimental Analysis under Real Climate Conditions

Particle filter refinement based on clustering procedures for high-dimensional localization and mapping systems

Bringing Semantics to the Vineyard: An Approach on Deep Learning-Based Vine Trunk Detection

Reconfigurable Grasp Planning Pipeline with Grasp Synthesis and Selection Applied to Picking Operations in Aerospace Factories

Collaborators (10)

Judite Ferreira

Eduardo Solteiro Pires

João Valente

Sandro Magalhães

João Lanzinha

António Paulo Moreira

António Valente

Armando Sousa

Anabela Paiva

Teresa Barroso

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