Raul Morais

About

Raul Morais is a leading figure in agricultural robotics, renowned for pioneering autonomous systems tailored to the extreme conditions of steep-slope vineyards. His research focuses on robotic perception, localization, and precision viticulture, addressing the unique challenges of mountainous terrain where GPS signals are unreliable. Morais’s major contributions include developing a cost-effective, reliable monitoring robot for mountain vineyards (47 citations) and advancing localization systems that use natural features and vine trunk detection to replace unstable GPS (26 and 23 citations). His work on deep learning for grape plant species identification in natural images (93 citations) has been instrumental in enabling automated harvesting systems, particularly in the Douro Region’s mixed-variety vineyards. Morais has also explored path planning algorithms that minimize soil compaction (23 citations) and non-invasive radar techniques for assessing plant water content (15 citations), bridging robotics and agronomy. His 2025 comprehensive review of advanced controller methodologies for robotic manipulators (30 citations) underscores his ongoing influence. With over 350 total citations, Morais’s research directly supports sustainable, high-precision agriculture in challenging environments, making him a key innovator in field robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Deep Learning Techniques for Grape Plant Species Identification in Natural Images

   93 citations · 2019
2. 2
   Towards a Reliable Robot for Steep Slope Vineyards Monitoring

   53 citations · 2016
3. 3
   Towards a Reliable Monitoring Robot for Mountain Vineyards

   47 citations · 2015
4. 4
   A review of advanced controller methodologies for robotic manipulators

   30 citations · 2025
5. 5
   Localization Based on Natural Features Detector for Steep Slope Vineyards

   26 citations · 2018
6. 6
   Path Planning for Automatic Recharging System for Steep-Slope Vineyard Robots

   25 citations · 2017
7. 7
   Vine Trunk Detector for a Reliable Robot Localization System

   23 citations · 2016
8. 8
   Path planning aware of soil compaction for steep slope vineyards

   23 citations · 2018
9. 9
   Potential Non-Invasive Technique for Accessing Plant Water Contents Using a Radar System

   15 citations · 2021
10. 10
    Agricultural Wireless Sensor Mapping for Robot Localization

    15 citations · 2015

Key Collaborators

Contact & Links