EFFECT OF VARIOUS INPUTS ON PADDY PRODUCTION - A COMPARISON OF ARTIFICIAL NEURAL NETWORKS AND LINEAR REGRESSION ANALYSIS
We analyzed the effect of chemical fertilizer, seed, biocide, farm machinery and labor hours on production of paddy (paddy rice) in the Khuzestan province in the South Western part of Iran. Here we test two methods (linear regression and neural network). We conclude that the results gotten by neural...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Agricultural Sciences and Veterinary Medicine, Bucharest
2015-06-01
|
| Series: | Scientific Papers Series : Management, Economic Engineering in Agriculture and Rural Development |
| Subjects: | |
| Online Access: | http://managementjournal.usamv.ro/pdf/vol15_2/Art22.pdf |