Marcelo Rodrigues Barbosa Júnior

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Research Professional

University of Georgia

United States

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About

Marcelo Rodrigues Barbosa Júnior is a Research Professional at the University of Georgia, USA. His research interests focus on the integration of robotics, machine learning, and agricultural technologies. Recent articles include studies on robotic systems for crop management, neural network applications for plant classification, and the use of UAVs in yield forecasting for specialty crops.

Recent Grants

Grant: Close

Multispectral Drone Sensor Approach to Predict Pecan Yield

Open Date: 2024-02-01

Close Date: 2025-01-01

Grant: Close

Exploring the next level of automation in Pecan production: A study about drone spraying and robotic applications on spraying and mowing

Open Date: 2024-02-01

Close Date: 2025-01-01

Grant: Close

Multi-Resolution Remote Sensing Platforms to Determine Blueberry Fruit Quality

Open Date: 2024-01-01

Close Date: 2024-12-01

Grant: Close

Evaluating Autonomous Robotic and Drone Spraying Systems in Vegetable Production: A Comparative Analysis with Conventional Platforms

Open Date: 2024-01-01

Close Date: 2024-12-01

Grant: Close

UAV imagery and machine learning: a driving merger for biophysical modeling of saccharine and bioenergy feedstocks in sugarcane

Open Date: 2023-04-01

Close Date: 2024-03-01

Articles (16)

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2023

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2023

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2023

Collaborators (1)

Angelos Deltsidis

Assistant Professor

University of Georgia

UNITED STATES

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Marcelo Rodrigues Barbosa Júnior

Research Interests

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About

Recent Grants

Articles (16)

Designing and Implementing a Ground-Based Robotic System to Support Spraying Drone Operations: A Step Toward Collaborative Robotics

A neural network approach employed to classify soybean plants using multi-sensor images

Forecasting yield and market classes of Vidalia sweet onions: A UAV-based multispectral and texture data-driven approach

Image-based and ML-driven analysis for assessing blueberry fruit quality

Deep convolutional networks based on lightweight YOLOv8 to detect and estimate peanut losses from images in post-harvesting environments

Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane

AI-Driven Prediction of Sugarcane Quality Attributes Using Satellite Imagery

Fuel-flexible biomass off-gassing: The impact of antioxidant spent coffee grains on emissions of CO2, CO, CH4, and VOCs, physical deposits, and combustion in wood pellets

Advancements in peanut mechanization: Implications for sustainable agriculture

Monitoring coffee fruit maturity using an enhanced convolutional neural network under different image acquisition settings

Monitoring coffee fruit maturity using an enhanced convolutional neural network under different image acquisition settings

Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption

Advancements in Agricultural Ground Robots for Specialty Crops: An Overview of Innovations, Challenges, and Prospects

Fuel-flexible biomass off-gassing: antioxidant potential of agricultural residues for biogenic additives to low-emission wood pellets

Sustainable management of sweet potatoes: A review on practices, strategies, and opportunities in nutrition-sensitive agriculture, energy security, and quality of life

Mapping Gaps in Sugarcane Fields Using UAV-RTK Platform

Collaborators (1)

Angelos Deltsidis

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