Dear guest, welcome to this publication database. As an anonymous user, you will probably not have edit rights. Also, the collapse status of the topic tree will not be persistent. If you like to have these and other options enabled, you might ask Pascal Held for a login account.
| This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit www.aigaion.nl. |
|
Spatial Variable Importance Assessment for Yield Prediction in Precision Agriculture
| Type of publication: | Inproceedings |
| Citation: | russ2010ida |
| Booktitle: | Proceedings of IDA2010 |
| Series: | LNCS |
| Volume: | 6065 |
| Year: | 2010 |
| Pages: | 184--195 |
| Publisher: | Springer |
| Address: | Heidelberg |
| ISBN: | 978-3-642-13061-8 |
| URL: | http://www.springerlink.com/co... |
| DOI: | 10.1007/978-3-642-13062-5_18 |
| Abstract: | Precision Agriculture applies state-of-the-art GPS technology in connection with site-specific, sensor-based crop management. It can also be described as a data-driven approach to agriculture, which is strongly connected with a number of data mining problems. One of those is also an inherently important task in agriculture: yield prediction. Given a yield prediction model, which of the predictor variables are the important ones? In the past, a number of approaches have been proposed towards this problem. For yield prediction, a broad variety of regression models for non-spatial data can be adapted for spatial data using a novel spatial cross-validation technique. Since this procedure is at the core of variable importance assessment, it will be briefly introduced here. Given this spatial yield prediction model, a novel approach towards assessing a variable’s importance will be presented. It essentially consists of picking each of the predictor variables, one at a time, permutating its values in the test set and observing the deviation of the model’s RMSE. This article uses two real-world data sets from precision agriculture and evaluates the above procedure. |
| Keywords: | |
| Authors | |
| Editors | |
| Added by: | [GR] |
| Total mark: | 0 |
|
Attachments
|
|
|
|
|
Notes
|
|
|
|
|
|
Topics
|
|
