Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
Fruit quality drops significantly due to physical impacts and contact forces. Stress on the fruit surface during harvesting, transportation and storage operations causes bruising in its tissue and eventually result in fruit failure. Therefore, prediction of the bruise volume caused by impacts can be...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-09-01
|
| Series: | Acta Technologica Agriculturae |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ata-2020-0019 |
| _version_ | 1798017085093183488 |
|---|---|
| author | Fazel Farhad Golmohammadi Abdollah Shahgholi Gholamhossein Ahmadi Ebrahim |
| author_facet | Fazel Farhad Golmohammadi Abdollah Shahgholi Gholamhossein Ahmadi Ebrahim |
| author_sort | Fazel Farhad |
| collection | DOAJ |
| description | Fruit quality drops significantly due to physical impacts and contact forces. Stress on the fruit surface during harvesting, transportation and storage operations causes bruising in its tissue and eventually result in fruit failure. Therefore, prediction of the bruise volume caused by impacts can be very important. In this research, adaptive neuro fuzzy inference system (ANFIS) was used to predict the bruise volume caused by the impacts on apples. The input parameters were the maximum contact force or impact energy; curvature radius at the contact point; temperature; and fruit mass. Its response was the bruise volume. The results show that the ANFIS models operated better in the bruise volume prediction than regression models. Between different available ANFIS models, the model based on the grid partitioning showed the best results with a mean squared error of MSE = 0.00015941, which was less than value showed by the sub-clustering mode. However, its implementation time to reach a fixed error was longer. Eventually, impact energy-based models, in contrast to maximum contact force-based models, were more capable in terms of the apple bruising prediction. |
| first_indexed | 2024-04-11T15:59:56Z |
| format | Article |
| id | doaj.art-1ed81ca03e5a4e869a9c3c766abb477d |
| institution | Directory Open Access Journal |
| issn | 1338-5267 |
| language | English |
| last_indexed | 2024-04-11T15:59:56Z |
| publishDate | 2020-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Acta Technologica Agriculturae |
| spelling | doaj.art-1ed81ca03e5a4e869a9c3c766abb477d2022-12-22T04:15:02ZengSciendoActa Technologica Agriculturae1338-52672020-09-0123311812510.2478/ata-2020-0019ata-2020-0019Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS)Fazel Farhad0Golmohammadi Abdollah1Shahgholi Gholamhossein2Ahmadi Ebrahim3University of Mohaghegh Ardabili, Ardabil, IranUniversity of Mohaghegh Ardabili, Ardabil, IranUniversity of Mohaghegh Ardabili, Ardabil, IranBu-Ali Sina University, Hamedan, IranFruit quality drops significantly due to physical impacts and contact forces. Stress on the fruit surface during harvesting, transportation and storage operations causes bruising in its tissue and eventually result in fruit failure. Therefore, prediction of the bruise volume caused by impacts can be very important. In this research, adaptive neuro fuzzy inference system (ANFIS) was used to predict the bruise volume caused by the impacts on apples. The input parameters were the maximum contact force or impact energy; curvature radius at the contact point; temperature; and fruit mass. Its response was the bruise volume. The results show that the ANFIS models operated better in the bruise volume prediction than regression models. Between different available ANFIS models, the model based on the grid partitioning showed the best results with a mean squared error of MSE = 0.00015941, which was less than value showed by the sub-clustering mode. However, its implementation time to reach a fixed error was longer. Eventually, impact energy-based models, in contrast to maximum contact force-based models, were more capable in terms of the apple bruising prediction.https://doi.org/10.2478/ata-2020-0019stresstransportcontact pointcurvature radius |
| spellingShingle | Fazel Farhad Golmohammadi Abdollah Shahgholi Gholamhossein Ahmadi Ebrahim Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Acta Technologica Agriculturae stress transport contact point curvature radius |
| title | Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS) |
| title_full | Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS) |
| title_fullStr | Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS) |
| title_full_unstemmed | Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS) |
| title_short | Predictions of the Apple Bruise Volume on the Basis of Impact Energy or Maximum Contact Force Using Adaptive Neuro-Fuzzy Inference System (ANFIS) |
| title_sort | predictions of the apple bruise volume on the basis of impact energy or maximum contact force using adaptive neuro fuzzy inference system anfis |
| topic | stress transport contact point curvature radius |
| url | https://doi.org/10.2478/ata-2020-0019 |
| work_keys_str_mv | AT fazelfarhad predictionsoftheapplebruisevolumeonthebasisofimpactenergyormaximumcontactforceusingadaptiveneurofuzzyinferencesystemanfis AT golmohammadiabdollah predictionsoftheapplebruisevolumeonthebasisofimpactenergyormaximumcontactforceusingadaptiveneurofuzzyinferencesystemanfis AT shahgholigholamhossein predictionsoftheapplebruisevolumeonthebasisofimpactenergyormaximumcontactforceusingadaptiveneurofuzzyinferencesystemanfis AT ahmadiebrahim predictionsoftheapplebruisevolumeonthebasisofimpactenergyormaximumcontactforceusingadaptiveneurofuzzyinferencesystemanfis |