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Laursen, M.S
Poulin, J
Gonzalez, J
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Authors
Midtiby, H.S
Jørgensen, R.N
Krüger, N
Laursen, M.S
Zhao, T
Chen, Y
Franzen, J
Gonzalez, J
Yang, Q
Agili, H
Chokmani, K
Cambouris, A
Perron, I
Poulin, J
Topics
Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture
Remote Sensing Applications in Precision Agriculture
Applications of Unmanned Aerial Systems
Type
Poster
Oral
Year
2012
2016
2018
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Authors

Filter results3 paper(s) found.

1. Validation of Modicovi - Monocot and Dicot Coverage Ratio Vision Based Method for Real Time Estimation Canopy Coverage Ratio between Cereal Crops and Dicotyledon Weeds

... H.S. Midtiby, R.N. Jørgensen, N. Krüger, M.S. Laursen

2. Melon Classification and Segementation Using Low Cost Remote Sensing Data Drones

Object recognition represents currently one of the most developing and challenging areas of the Computer Vision. This work presents a systematic study of various relevant parameters and approaches allowing semi-automatic or automatic object detection, applied onto a study case of melons on the field to be counted. In addition it is of a cardinal interest to obtain the quantitative information about performance of the algorithm in terms of metrics the suitability whereof is determined by the final... T. Zhao, Y. Chen, J. Franzen, J. Gonzalez, Q. Yang

3. Site-Specific Management Zones Delineation Using Drone-Based Hyperspectral Imagery

Conventional techniques (e.g., intensive soil sampling) for site-specific management zones (MZ) delineation are often laborious and time-consuming. Using drones equipped with hyperspectral system can overcome some of the disadvantages of these techniques. The present work aimed to develop a drone-based hyperspectral imagery method to characterize the spatial variability of soil physical properties in order to delineate site-specific MZ. Canonical correlation analysis (CCA) was used to extract... H. Agili, K. Chokmani, A. Cambouris, I. Perron, J. Poulin