<i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning
Traditional identification methods for <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> (PSPR) consume much time and labor, require strict experimental conditions, and usually cause damage to the plant. This work presents a novel method for fast, accurate, and nondestructi...
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MDPI AG
2023-03-01
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Online Access: | https://www.mdpi.com/1099-4300/25/3/447 |
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author | Jin Zhu Chuanhui Zhang Changjiang Zhang |
author_facet | Jin Zhu Chuanhui Zhang Changjiang Zhang |
author_sort | Jin Zhu |
collection | DOAJ |
description | Traditional identification methods for <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> (PSPR) consume much time and labor, require strict experimental conditions, and usually cause damage to the plant. This work presents a novel method for fast, accurate, and nondestructive identification of PSPR. First, to fill the gap in the PSPR dataset, we construct a PSPR visible capsule image dataset. Second, we propose a modified MobileNetV3-Small network with transfer learning, and we solve the problem of low classification accuracy and slow model convergence due to the small number of PSPR capsule image samples. Experimental results demonstrate that the modified MobileNetV3-Small is effective for fast, accurate, and nondestructive PSPR classification. |
first_indexed | 2024-03-11T06:35:02Z |
format | Article |
id | doaj.art-7927ecf8d7c94218a05990bdf5fc5b2f |
institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-03-11T06:35:02Z |
publishDate | 2023-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-7927ecf8d7c94218a05990bdf5fc5b2f2023-11-17T10:56:20ZengMDPI AGEntropy1099-43002023-03-0125344710.3390/e25030447<i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer LearningJin Zhu0Chuanhui Zhang1Changjiang Zhang2College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321000, ChinaCollege of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua 321000, ChinaSchool of Electronics and Information Engineering (School of Big Data Science), Taizhou University, Taizhou 318000, ChinaTraditional identification methods for <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> (PSPR) consume much time and labor, require strict experimental conditions, and usually cause damage to the plant. This work presents a novel method for fast, accurate, and nondestructive identification of PSPR. First, to fill the gap in the PSPR dataset, we construct a PSPR visible capsule image dataset. Second, we propose a modified MobileNetV3-Small network with transfer learning, and we solve the problem of low classification accuracy and slow model convergence due to the small number of PSPR capsule image samples. Experimental results demonstrate that the modified MobileNetV3-Small is effective for fast, accurate, and nondestructive PSPR classification.https://www.mdpi.com/1099-4300/25/3/447identificationpoppy capsule image datasetMobileNetV3-Smalltransfer learning<i>Papaver somniferum</i><i>Papaver rhoeas</i> |
spellingShingle | Jin Zhu Chuanhui Zhang Changjiang Zhang <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning Entropy identification poppy capsule image dataset MobileNetV3-Small transfer learning <i>Papaver somniferum</i> <i>Papaver rhoeas</i> |
title | <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning |
title_full | <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning |
title_fullStr | <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning |
title_full_unstemmed | <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning |
title_short | <i>Papaver somniferum</i> and <i>Papaver rhoeas</i> Classification Based on Visible Capsule Images Using a Modified MobileNetV3-Small Network with Transfer Learning |
title_sort | i papaver somniferum i and i papaver rhoeas i classification based on visible capsule images using a modified mobilenetv3 small network with transfer learning |
topic | identification poppy capsule image dataset MobileNetV3-Small transfer learning <i>Papaver somniferum</i> <i>Papaver rhoeas</i> |
url | https://www.mdpi.com/1099-4300/25/3/447 |
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