Prediction of lateral surface, volume and sphericity of pomegranate using MLP artificial neural network
Introduction: Fast and accurate determination of geometrical properties of agricultural products has many applications in agricultural operations like planting, cultivating, harvesting and post-harvesting. Calculations related to storing, shipping and storage-coating materials as well as peeling tim...
Saved in:
Main Authors: | A Rohani, S. I Saedi, H Gerailue, M. H Aghkhani |
---|---|
Format: | article |
Language: | EN FA |
Published: |
Ferdowsi University of Mashhad
2015
|
Subjects: | |
Online Access: | https://doaj.org/article/e57c921fd5cd4f7eb7aa15a3ee1ce64c |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The effect of dropping impact on bruising pomegranate fruit
by: M Mohammad Shafie, et al.
Published: (2016) -
Prediction the inside variables of even-span glass greenhouse with special structure by artificial neural network (MLP-RBF) models
by: M Hamdani, et al.
Published: (2020) -
Analysis of the Coloring and Antibacterial Effects of Natural Dye: Pomegranate Peel
by: Aicha Bouaziz, et al.
Published: (2021) -
Dynamic Analysis of Thin CompositeCylindrical and Spherical Shells
by: Qusai H. Jebur
Published: (2008) -
Development and evaluation of a vibratory-pneumatic pomegranate arils extractor
by: S. M Nassiri, et al.
Published: (2017)