A5014413349- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Business, Innovation, and Economy
- Greenhouse Technology and Climate Control
- Spectroscopy and Chemometric Analyses
- Anomaly Detection Techniques and Applications
- Remote Sensing and LiDAR Applications
- Online Learning and Analytics
- Digital Transformation in Industry
- Educational and Organizational Development
- Mobile and Web Applications
- Educational Research and Science Teaching
- Forecasting Techniques and Applications
- Medical Imaging and Analysis
- Education and Teacher Training
- Technology in Education and Healthcare
- Impact of Technology on Adolescents
- Higher Education and Sustainability
- Cloud Data Security Solutions
- Scoliosis diagnosis and treatment
- Advanced Software Engineering Methodologies
- Advanced Technologies and Applied Computing
- Educational Outcomes and Influences
- Education in Rural Contexts
Universidad Técnica del Norte
2017-2024
Universidad Politécnica Estatal del Carchi
2017-2018
Universidad Complutense de Madrid
2016-2017
Software (Spain)
2016
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);...
Identifying and quantifying weeds is a crucial aspect of agriculture for efficiently controlling them. Weeds compete with the crop nutrients, minerals, physical space, sunlight, water, causing problems in crops ranging from low production to economic losses environmental deterioration land. Weed quantification generally manual process requiring significant time precision. Convolutional Neural Networks (CNN) are very common weed quantification. Thus, purpose this research adaptation ResNeXt50...
Students' academic performance is a key factor for educational institutions and society, which an important indicator of the quality teaching-learning process appropriation knowledge. Its analysis allows understanding behavior students teachers, generating valuable knowledge making timely decisions. In this study, following phases were carried out: (i) identification factors that influence engineering university students, (ii) early prediction success, (iii) use patterns in virtual learning...
Today, cars are an indispensable element in the society, as well vehicle diagnosis of minor and serious mechanical failures. This process is carried out through two methods: (i) manually, inspecting possible common causes; (ii) automatically, using a failure identification scanner. In both cases assistance car expert required. However, how could user briefly diagnose failures? The objective this project has been to build system module for vehicular help user, identifying automotive failures...