About
Contact & Profiles
A5050588112
Research Areas
- Smart Agriculture and AI
- Remote Sensing in Agriculture
- Nuclear and radioactivity studies
- Graphite, nuclear technology, radiation studies
- Nuclear reactor physics and engineering
- Date Palm Research Studies
- Remote Sensing and LiDAR Applications
- Advanced Vision and Imaging
- Spectroscopy and Chemometric Analyses
Software (Spain)
2016
Universidad Complutense de Madrid
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);...
10.3390/jimaging2040034
article
EN
cc-by
Journal of Imaging
2016-11-22
10.1016/j.asoc.2016.03.016
article
EN
Applied Soft Computing
2016-04-30
10.1007/s11119-016-9483-4
article
EN
Precision Agriculture
2016-12-27
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