Citation
Abstract
The present invention relates to a method for producing a soil nutrient map using reduced number of soil sample required to be taken in a geographical region, characterized by the steps of: obtaining a first database comprising data of a plurality of soil samples taken from the geographical region; supplying the first database to an artificial neural network for training, validating and testing said artificial neural network; providing an input of the plurality of soil samples to the trained artificial neural network, wherein said trained artificial neural network evaluates the input and outputs a second database of virtual soil samples representing non-sampled area of the geographical region; and forming the soil nutrient map from the first database and the second database.
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Additional Metadata
Item Type: | Patent |
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Application Number: | PI2012000684 |
Filing Date: | 2012-02-15 |
Divisions: | Faculty of Engineering |
Keywords: | Soil nutrient map; Soil sample; Database; Virtual soil samples |
Depositing User: | Suzila Mohamad Kasim |
Date Deposited: | 23 Dec 2014 06:09 |
Last Modified: | 23 Dec 2014 06:09 |
URI: | http://psasir.upm.edu.my/id/eprint/33059 |
Statistic Details: | View Download Statistic |
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