ESTIMATION OF PHYSICAL AND CHEMICAL SOIL PROPERTIES BY ARTIFICIAL NEURAL NETWORKS
Soil physical and chemical analyses are relatively high-cost and time-consuming procedures. In the search for alternatives to predict these properties from a reduced number of soil samples, the use of Artificial Neural Networks (ANN) has been pointed out as a great computational technique to solve t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidade Federal Rural do Semi-Árido
2018-01-01
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| Series: | Revista Caatinga |
| Online Access: | http://www.redalyc.org/articulo.oa?id=237158167020 |
