Hugo Moreno
Papers
2
Total Citations
58
H-Index
2
About
Hugo Moreno is a leading researcher in precision agriculture and intelligent weed management, with a focus on leveraging computer vision and robotics to enhance crop productivity. His work centers on developing automated systems for weed detection and crop monitoring, particularly in high-value crops like tomatoes and vineyards. Moreno’s most cited paper, "Intelligent Weed Management Based on Object Detection Neural Networks in Tomato Crops" (2022, 35 citations), introduces a groundbreaking approach using deep learning to identify and selectively control aggressive weed species, addressing a critical bottleneck in sustainable tomato cultivation. This work demonstrates how neural networks can replace conventional, less efficient weed control methods, directly improving yield potential. In his other highly cited study, "Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception" (2020, 23 citations), Moreno pioneers the use of 3D optical sensors for non-destructive, real-time assessment of vine geometric traits. This innovation advances phenomics technologies, enabling precise monitoring of crop health and structure. With a growing citation impact, Moreno’s contributions are shaping the future of smart farming, offering scalable solutions for global food security.
Research Focus
Key Achievements
Top Papers
- 1
- 2Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception23 citations · 2020