Proceedings :: International Society of Precision Agriculture

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Cambouris, A

Levi, A

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Authors

Cohen, Y

Alchanatis, V

Heuer, B

Lemcoff, H

Sprintsin, M

Rosen, C

Mulla, D

Nigon, T

Dar, Z

Cohen, A

Levi, A

Brikman, R

Markovits, T

Rud, R

Agili, H

Chokmani, K

Cambouris, A

Perron, I

Poulin, J

Topics

Remote Sensing Applications in Precision Agriculture

Applications of Unmanned Aerial Systems

Type

Poster

Oral

Year

2012

2018

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Filter results2 paper(s) found.
1. Evaluating Water Status in Potato Fields Using Combined Information from RGB and Thermal Aerial Images Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to evaluate... Y. Cohen, V. Alchanatis, B. Heuer, H. Lemcoff, M. Sprintsin, C. Rosen, D. Mulla, T. Nigon, Z. Dar, A. Cohen, A. Levi, R. Brikman, T. Markovits, R. Rud Download paper
2. 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 Download paper

Filter results2 paper(s) found.

1. Evaluating Water Status in Potato Fields Using Combined Information from RGB and Thermal Aerial Images

Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to evaluate... Y. Cohen, V. Alchanatis, B. Heuer, H. Lemcoff, M. Sprintsin, C. Rosen, D. Mulla, T. Nigon, Z. Dar, A. Cohen, A. Levi, R. Brikman, T. Markovits, R. Rud

Download paper

2. 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

Download paper