Predicting Yield and Water Use Efficiency in Saffron Using Models of Artificial Neural Network Based on Climate Factors and Water
The predicted models for crops yield are developing rapidly by the creation of new statistical techniques and neural networks. For this purpose, a research was carried out in the Torbat-e-Heydarieh region for predicting yield and water use efficiency of saffron by using an artificial neural network...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Torbat Heydarieh
2015-08-01
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| Series: | Zirā̒at va Fanāvarī-i Za̒farān |
| Subjects: | |
| Online Access: | http://saffron.torbath.ac.ir/article_10381_a80012a5c014ae2ae1915347188c7264.pdf |