A5074242922- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Spectroscopy and Chemometric Analyses
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
- Leaf Properties and Growth Measurement
- Face and Expression Recognition
- Greenhouse Technology and Climate Control
- Cognitive Computing and Networks
- Neural Networks and Applications
- Cognitive Science and Mapping
- Advanced Image and Video Retrieval Techniques
- Energy Efficient Wireless Sensor Networks
- Image and Video Quality Assessment
- Innovative Teaching and Learning Methods
- Color Science and Applications
- Image Enhancement Techniques
- Robotic Path Planning Algorithms
- Guidance and Control Systems
- Wind Energy Research and Development
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Robotics and Sensor-Based Localization
- Advanced Optical Imaging Technologies
Universidad Complutense de Madrid
2010-2024
ESIC Business & Marketing School
2019-2020
EAE Business School
2019-2020
Software (Spain)
2011-2015
Centre for Automation and Robotics
2010-2015
Técnicas y Servicios de Ingeniería (Spain)
2008-2010
This paper proposes a new method, oriented to image real-time processing, for identifying crop rows in maize fields the images. The vision system is designed be installed onboard mobile agricultural vehicle, that is, submitted gyros, vibrations, and undesired movements. images are captured under perspective, being affected by above effects. processing consists of two main processes: segmentation row detection. first one applies threshold separate green plants or pixels (crops weeds) from...
Machine vision systems are becoming increasingly common onboard agricultural vehicles (autonomous and non-autonomous) for different tasks. This paper provides guidelines selecting machine-vision optimum performance, considering the adverse conditions on these outdoor environments with high variability illumination, irregular terrain or plant growth states, among others. In this regard, three main topics have been conveniently addressed best selection: (a) spectral bands (visible infrared);...
This paper presents a mapping method for wide row crop fields. The resulting map shows the rows and weeds present in inter-row spacing. Because field videos are acquired with camera mounted on top of an agricultural vehicle, image sequence stabilization was needed consequently designed developed. proposed uses centers some as features to be tracked, which compensates lateral movement (sway) leaves pitch unchanged. A region interest is selected using tracked features, inverse perspective...
The objective of this study is to analyze the main factors influencing research on concept ‘circular economy’ (CE) by focusing authors, institutions, and countries emphasizing documents that deal both with CE SMEs. Web Science (WoS) includes 1711 related CE, first publication dated 2006. graphical analyses use WoS Core Collection database visualization similarities (VOS) viewer software. We also employ several bibliometric techniques including co-citation bibliographic coupling. results...
The design of the control systems for sensor networks presents important challenges. Besides traditional problems about how to process data obtain target information, engineers need consider additional aspects such as heterogeneity and high number sensors, flexibility these regarding topologies sensors in them. Although there are partial approaches resolving issues, their integration relies on ad hoc solutions requiring development efforts. In order provide an effective approach this...
In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or vehicle guidance purposes. Accuracy of detection is an important issue be addressed in image processing. There two main types parameters affecting the accuracy images, namely: (a) extrinsic, related sensor's positioning tractor; (b) intrinsic, sensor specifications, such as CCD resolution, focal length iris aperture, among...
We present a novel strategy for computing disparity maps from hemispherical stereo images obtained with fish-eye lenses in forest environments. At first segmentation stage, the method identifies textures of interest to be either matched or discarded. This is achieved by applying pattern recognition based on combination two classifiers: Fuzzy Clustering and Bayesian. second stereovision matching process performed application four constraints: epipolar, similarity, uniqueness smoothness. The...
This paper describes a novel feature-based stereovision matching process based on pair of omnidirectional images in forest stands acquired with sensor equipped fish-eye lenses. The stereo analysis problem consists the following steps: image acquisition, camera modelling, feature extraction, and depth determination. Once depths significant points trees are obtained, growing stock volume can be estimated by considering geometrical which is final goal. key steps extraction matching. devoted...
A regression discontinuity design was applied to measure the short- and long-term policy effects of air quality improvement plan implemented for G20 Hangzhou summit. The analysis considered across 11 prefecture-level cities in Zhejiang, China. Five meteorological indicators (temperature, humidity, pressure, wind speed rainfall) were employed as control variables. Using these variables, measured terms changes index (AQI) pollutant concentrations (PM2.5, PM10, CO, SO2, NO2 O3) 1 year 2.5 years...
Currently, there is an increasing interest in educational data mining. E-learning systems have become pervasive contexts, and they are more necessary than ever order to get relevant information on students learning activities. However, the amount of raw produced makes unf easible its manual processing, so (semi-)automated solutions required. In this context, paradigms mining artificial intelligence offer multiple techniques provide these solutions. Among techniques, work a review published...
This paper describes a new automatic image segmentation strategy for segmenting green plants. The final goal is its application in Precision Agriculture. to identify several classes of greenness coming from the We exploit performance existing approaches so that conveniently combined allow us design approach based on non methods. First we apply well known index-based accentuates spectral band remainder, giving gray image. From resulting well-known thresholding Otsu's method obtaining binary...