Proceedings :: International Society of Precision Agriculture

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Ben-Halevi, I

Borůvka, L

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Authors

Edan, Y

Berenstein, R

Ben-Halevi, I

Gholizadeh, A

Saberioon, M

Borůvka, L

Topics

Guidance, Robotics, Automation, and GPS Systems

Proximal Sensing in Precision Agriculture

Type

Poster

Oral

Year

2012

2016

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Filter results2 paper(s) found.
1. A Remote Interface for a Human-Robot Cooperative Vineyard Sprayer ... Y. Edan, R. Berenstein, I. Ben-halevi Download paper
2. Memory Based Learning: A New Data Mining Approach to Model and Interpret Soil Texture Diffuse Reflectance Spectra Successful estimation of spectrally active soil texture with Visible and Near-Infrared (VNIR, 400-1200 nm) and Short-Wave-Infrared (SWIR, 1200-2500 nm) spectroscopy depends mostly on the selection of an appropriate data mining algorithm. The aims of this paper were: to compare different data mining algorithms including Partial Least Squares Regression (PLSR), which is the most common technique in soil spectroscopy, Support Vector Machine Regression (SVMR), Boosted Regression Trees (BRT), and Memory... A. Gholizadeh, M. Saberioon, L. Borůvka Download paper

Filter results2 paper(s) found.

1. A Remote Interface for a Human-Robot Cooperative Vineyard Sprayer

... Y. Edan, R. Berenstein, I. Ben-halevi

Download paper

2. Memory Based Learning: A New Data Mining Approach to Model and Interpret Soil Texture Diffuse Reflectance Spectra

Successful estimation of spectrally active soil texture with Visible and Near-Infrared (VNIR, 400-1200 nm) and Short-Wave-Infrared (SWIR, 1200-2500 nm) spectroscopy depends mostly on the selection of an appropriate data mining algorithm. The aims of this paper were: to compare different data mining algorithms including Partial Least Squares Regression (PLSR), which is the most common technique in soil spectroscopy, Support Vector Machine Regression (SVMR), Boosted Regression Trees (BRT), and Memory... A. Gholizadeh, M. Saberioon, L. Borůvka

Download paper