A5061345476- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Agricultural Engineering and Mechanization
- Robotics and Sensor-Based Localization
- Remote Sensing in Agriculture
- 3D Surveying and Cultural Heritage
- Horticultural and Viticultural Research
- Modular Robots and Swarm Intelligence
- Robotics and Automated Systems
- Advanced Manufacturing and Logistics Optimization
- Evolutionary Algorithms and Applications
- Greenhouse Technology and Climate Control
- Leaf Properties and Growth Measurement
- Agriculture and Rural Development Research
- Biofuel production and bioconversion
- Robotic Path Planning Algorithms
- Plant Surface Properties and Treatments
- Online Learning and Analytics
- Forest ecology and management
- Soil Mechanics and Vehicle Dynamics
- Business, Innovation, and Economy
- Vehicle Routing Optimization Methods
- Agricultural and Food Production Studies
- Plant and soil sciences
Centre for Automation and Robotics
2013-2023
Consejo Superior de Investigaciones Científicas
2017-2022
Universidad Politécnica de Madrid
2022
Pastures are botanically diverse and difficult to characterize. Digital modeling of pasture biomass quality by non-destructive methods can provide highly valuable support for decision-making. This study aimed evaluate aerial on-ground characterize grass ley fields, estimating plant height, volume, using digital models. Two fields were sampled, one timothy-dominant the other ryegrass-dominant. Both sensing systems allowed estimation biomass, volume which compared with ground truth, also...
The concept of precision agriculture, which proposes farming management adapted to crop variability, has emerged in recent years. To effectively implement data must be gathered from the field an automated manner at minimal cost. In this study, a small autonomous inspection vehicle was developed minimise impact scouting on and soil compaction. proposed approach integrates camera with GPS receiver obtain set basic behaviours required mobile robot inspect full coverage. A path planner...
Crop 3D modeling allows site-specific management at different crop stages. In recent years, light detection and ranging (LiDAR) sensors have been widely used for gathering information about plant architecture to extract biophysical parameters decision-making programs. The study reconstructed vineyard crops using technology. Its accuracy performance were assessed characterization distance measurements, aiming obtain a reconstruction. A LiDAR sensor was installed on-board mobile platform...
Plant modeling can provide a more detailed overview regarding the basis of plant development throughout life cycle. Three-dimensional processing algorithms are rapidly expanding in phenotyping programmes and decision-making for agronomic management. Several methods have already been tested, but practical implementations trade-off between equipment cost, computational resources needed fidelity accuracy reconstruction end-details needs to be assessed quantified. This study examined suitability...
The effective integration of generative artificial intelligence in education is a fundamental aspect to prepare future generations. This study proposes an accelerated learning methodology intelligence, focused on its capacity, as way achieve this goal. It recognizes the challenge getting teachers engage with new technologies and adapt their methods all subjects, not just those related AI. only promotes interest science, technology, engineering mathematics, but also facilitates student...
Determining the best path planning for an agricultural task is a very important issue in crop management because it directly affects distances travelled by machines and, accordingly, soil compaction that occurs and inputs are consumed (time fuel). However, determining optimal difficult problem of large number variables must be taken into account: vehicles, speeds, turning radii, geometry field, tank capacities, fuel consumption, etc. The becomes even more when vehicles heterogeneous, is,...
Weather conditions can affect sensors' readings when sampling outdoors. Although sensors are usually set up covering a wide range of conditions, their operational must be established. In recent years, depth cameras have been shown as promising tool for plant phenotyping and other related uses. However, the use these devices is still challenged by prevailing field conditions. influence lighting on performance has already established, effect wind unknown. This study establishes associated...
Crop monitoring is an essential practice within the field of precision agriculture since it based on observing, measuring and properly responding to inter- intra-field variability. In particular, "on ground crop inspection" potentially allows early detection certain problems or treatment be carried out simultaneously with pest detection. "On monitoring" also great interest for woody crops. This paper explores development a low-cost system that can automatically create accurate 3D models...
A non-destructive measuring technique was applied to test major vine geometric traits on measurements collected by a contactless sensor. Three-dimensional optical sensors have evolved over the past decade, and these advancements may be useful in improving phenomics technologies for other crops, such as woody perennials. Red, green blue-depth (RGB-D) cameras, namely Microsoft Kinect, significant influence recent computer vision robotics research. In this experiment an adaptable mobile...
In the field of computer vision, 3D reconstruction crops plays a crucially important role in agriculture. On-ground assessment geometrical features vineyards is vital importance to generate valuable information that enables producers take optimum actions terms agricultural management. A training system vines (Vitis vinifera L.), which involves pruning and trellis system, results particular vine architecture, throughout phenological stages. Pruning required maintain vine’s health keep its...
Autonomous small vehicles may be considered a promising option for collecting field information due to their onboard sensing elements and reduced size, which minimise the vehicles’ impact on crop soil compaction. However, mobile unit has very poor energy autonomy covering real fields with large extensions. A fleet of could solution obtaining shorter distances. Nevertheless, because these are usually electric, distances cover in too long will forced recharge batteries several times during...