Proceedings

Find matching any: Reset
Salvaggio, C
Luker, E
Sisák, I
Levi, O
Add filter to result:
Authors
Cohen, Y
Alchanatis, V
Levi, O
Cohen, S
Lum, C
Dunbabin, M
Shaw-Feather, C
Mackenzie, M
Luker, E
Sisák, I
Benő, A
Szabó, K
Kocsis, M
Abonyi, J
Hughes, E.W
Pethybridge, S.J
Salvaggio, C
van Aardt, J
Kikkert, J.R
Topics
Machine Vision / Multispectral & Hyperspectral Imaging Applications to Precision Agriculture
Unmanned Aerial Systems
Decision Support Systems
Applications of Unmanned Aerial Systems
Type
Poster
Oral
Year
2012
2016
2018
Home » Authors » Results

Authors

Filter results4 paper(s) found.

1. A Method for Combining Spatial and Hyperspectral Information for Delineation of Homogenous Management Zones

Hyperspectral (HS) remote sensing is a constantly developing field. New remote sensing applications of different fields constantly appear. The possibility of acquisition information about an object without physical contact is spanning new opportunities in many fields and for precision agricultural in particular. These opportunities demand constant improvement and development of new analysis approaches and algorithms,... Y. Cohen, V. Alchanatis, O. Levi, S. Cohen

2. Multispectral Imaging and Elevation Mapping from an Unmanned Aerial System for Precision Agriculture Applications

As the world population continues to grow, the need for efficient agricultural production becomes more pressing.  The majority of farmers still use manual techniques (e.g. visual inspection) to assess the status of their crops, which is tedious and subjective.  This paper examines an operational and analytical workflow to incorporate unmanned aerial systems (UAS) into the process of surveying and assessing crop health.  The proposed system has the potential to significantly reduce... C. Lum, M. Dunbabin, C. Shaw-feather, M. Mackenzie, E. Luker

3. Reverse Modelling of Yield-Influencing Soil Variables in Case of Few Soil Data

Our hypothesis was that simple models can be applied to predict yield by using only those yield data which spatially coincide with the soil data and the remaining yield data and the models can be used to test different sampling and interpolation approaches commonly applied in precision agriculture and to better predict soil variables at not observed locations. Three strategies for composite sample collection were compared in our study. Point samples were taken 1.) along lines within homogenous... I. Sisák, A. Benő, K. Szabó, M. Kocsis, J. Abonyi

4. Snap Bean Flowering Detection from UAS Imaging Spectroscopy

Sclerotinia sclerotiorum (white mold) is a fungus that infects the flowers of snap beans and causes a reduction in the number of pods, and subsequent yields, due to premature pod abscission. Snap bean fields typically are treated with prophylactic fungicide applications to control white mold, once 10% of the plants have at least one flower. The holistic goal of this research is to develop spatially-explicit white mold risk models, based on inputs from remote sensing systems aboard unmanned... E.W. Hughes, S.J. Pethybridge, C. Salvaggio, J. Van aardt, J.R. Kikkert