<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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Main Authors: Jin Zhu, Chuanhui Zhang, Changjiang Zhang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Entropy
Subjects:
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.
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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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AT changjiangzhang ipapaversomniferumiandipapaverrhoeasiclassificationbasedonvisiblecapsuleimagesusingamodifiedmobilenetv3smallnetworkwithtransferlearning