Frontiers in Plant Science | Technical Advances in Plant Science

Methods

Published on 26 Sep 2023

PMVT: a lightweight vision transformer for plant disease identification on mobile devices

in Technical Advances in Plant Science

Guoqiang Li
Yuchao Wang
Qing Zhao
Peiyan Yuan
Baofang Chang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1256773

14,667 views
93 citations

Original Research

Published on 26 Sep 2023

A novel method for maize leaf disease classification using the RGB-D post-segmentation image data

in Technical Advances in Plant Science

Fei Nan
Yang Song
Xun Yu
Chenwei Nie
Yadong Liu
Yali Bai
Dongxiao Zou
Chao Wang
Dameng Yin
Wude Yang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1268015

5,787 views
16 citations

Methods

Published on 22 Sep 2023

Preparing Arabidopsis thaliana root protoplasts for cryo electron tomography

in Technical Advances in Plant Science

Ingrid Berenice Sanchez Carrillo
Patrick C. Hoffmann
Teura Barff
Martin Beck
Hugo Germain

Frontiers in Plant Science

doi 10.3389/fpls.2023.1261180

9,660 views
14 citations

Original Research

Published on 20 Sep 2023

Quantifying physiological trait variation with automated hyperspectral imaging in rice

in Technical Advances in Plant Science

To-Chia Ting
Augusto C. M. Souza
Rachel K. Imel
Carmela R. Guadagno
Chris Hoagland
Yang Yang
Diane R. Wang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1229161

3,313 views
7 citations

Methods

Published on 18 Sep 2023

High-throughput and separating-free phenotyping method for on-panicle rice grains based on deep learning

in Technical Advances in Plant Science

Yuwei Lu
Jinhu Wang
Ling Fu
Lejun Yu
Qian Liu

Frontiers in Plant Science

doi 10.3389/fpls.2023.1219584

4,773 views
15 citations

Editorial

Published on 18 Sep 2023

Editorial: Advances in breeding for waterlogging tolerance in crops

in Technical Advances in Plant Science

Ayyagari Ramlal
S. K. Lal
Vidyasagar Sathuvalli

Frontiers in Plant Science

doi 10.3389/fpls.2023.1284730

1,891 views
6 citations

Methods

Published on 18 Sep 2023

Vigour testing for the rice seed with computer vision-based techniques

in Technical Advances in Plant Science

Juxiang Qiao
Yun Liao
Changsheng Yin
Xiaohong Yang
Hoàng Minh Tú
Wei Wang
Yanfang Liu

Frontiers in Plant Science

doi 10.3389/fpls.2023.1194701

6,214 views
12 citations

Original Research

Published on 12 Sep 2023

FOTCA: hybrid transformer-CNN architecture using AFNO for accurate plant leaf disease image recognition

in Technical Advances in Plant Science

Bo Hu
Wenqian Jiang
Juan Zeng
Chen Cheng
Laichang He

Frontiers in Plant Science

doi 10.3389/fpls.2023.1231903

4,256 views
20 citations

Original Research

Published on 11 Sep 2023

Deep learning for Chilean native flora classification: a comparative analysis

in Technical Advances in Plant Science

Carola Figueroa-Flores
Pablo San-Martin

Frontiers in Plant Science

doi 10.3389/fpls.2023.1211490

2,545 views
7 citations

Original Research

Published on 11 Sep 2023

Improved EfficientNet for corn disease identification

in Technical Advances in Plant Science

Jitong Cai
Renyong Pan
Jianwu Lin
Jiaming Liu
Licai Zhang
Xingtian Wen
Xiaoyulong Chen
Xin Zhang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1224385

6,368 views
24 citations

Original Research

Published on 08 Sep 2023

Hyperspectral imaging combined with CNN for maize variety identification

in Technical Advances in Plant Science

Fu Zhang
Fangyuan Zhang
Shunqing Wang
Lantao Li
Qiang Lv
Sanling Fu
Xinyue Wang
Qingfeng Lv
Yakun Zhang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1254548

4,080 views
28 citations

Original Research

Published on 08 Sep 2023

Efficient Agrobacterium-mediated transformation and genome editing of Fagopyrum tataricum

in Technical Advances in Plant Science

Artur Pinski
Alexander Betekhtin

Frontiers in Plant Science

doi 10.3389/fpls.2023.1270150

6,798 views
10 citations

Original Research

Published on 07 Sep 2023

A method for estimating yield of maize inbred lines by assimilating WOFOST model with Sentinel-2 satellite data

in Technical Advances in Plant Science

Junyi Liu
Xianpeng Hou
Shuaiming Chen
Yanhua Mu
Hai Huang
Hengbin Wang
Zhe Liu
Shaoming Li
Xiaodong Zhang
Yuanyuan Zhao

Frontiers in Plant Science

doi 10.3389/fpls.2023.1201179

4,362 views
10 citations

Original Research

Published on 05 Sep 2023

A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases

in Technical Advances in Plant Science

Shweta Lamba
Vinay Kukreja
Junaid Rashid
Thippa Reddy Gadekallu
Jungeun Kim
Anupam Baliyan
Deepali Gupta
Shilpa Saini

Frontiers in Plant Science

doi 10.3389/fpls.2023.1234067

5,732 views
29 citations

Methods

Published on 31 Aug 2023

A novel 3D insect detection and monitoring system in plants based on deep learning

in Technical Advances in Plant Science

Nak Jung Choi
Kibon Ku
Sheikh Mansoor
Yong Suk Chung
Thai Thanh Tuan

Frontiers in Plant Science

doi 10.3389/fpls.2023.1236154

5,384 views

Original Research

Published on 30 Aug 2023

Local refinement mechanism for improved plant leaf segmentation in cluttered backgrounds

in Technical Advances in Plant Science

Ruihan Ma
Alvaro Fuentes
Sook Yoon
Woon Yong Lee
Sang Cheol Kim
Hyongsuk Kim
Dong Sun Park

Frontiers in Plant Science

doi 10.3389/fpls.2023.1211075

3,694 views
10 citations

Original Research

Published on 30 Aug 2023

Genome-wide association study of cooking-caused grain expansion in rice (Oryza sativa L.)

in Technical Advances in Plant Science

Yan Zheng
Khin Mar Thi
Lihui Lin
Xiaofang Xie
Ei Ei Khine
Ei Ei Nyein
Min Htay Wai Lin
Win Win New
San San Aye
Weiren Wu

Frontiers in Plant Science

doi 10.3389/fpls.2023.1250854

3,258 views
1 citation

Original Research

Published on 29 Aug 2023

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

in Technical Advances in Plant Science

Yaoyao Fan
Ting An
Qingyan Wang
Guang Yang
Wenqian Huang
Zheli Wang
Chunjiang Zhao
Xi Tian

Frontiers in Plant Science

doi 10.3389/fpls.2023.1248598

6,297 views
22 citations

Methods

Published on 29 Aug 2023

A novel method for irrigating plants, tracking water use, and imposing water deficits in controlled environments

in Technical Advances in Plant Science

Alex Cichello
Austin Bruch
Hugh J. Earl

Frontiers in Plant Science

doi 10.3389/fpls.2023.1201102

3,875 views
1 citation

Original Research

Published on 25 Aug 2023

WheatSpikeNet: an improved wheat spike segmentation model for accurate estimation from field imaging

in Technical Advances in Plant Science

M. A. Batin
Muhaiminul Islam
Md Mehedi Hasan
AKM Azad
Salem A. Alyami
Md Azam Hossain
Stanley J. Miklavcic

Frontiers in Plant Science

doi 10.3389/fpls.2023.1226190

4,498 views
12 citations

Methods

Published on 25 Aug 2023

Development of effective model for non-destructive detection of defective kiwifruit based on graded lines

in Technical Advances in Plant Science

Feiyun Wang
Chengxu Lv
Lizhong Dong
Xilong Li
Pengfei Guo
Bo Zhao

Frontiers in Plant Science

doi 10.3389/fpls.2023.1170221

2,553 views
11 citations

Original Research

Published on 24 Aug 2023

Maize seed appearance quality assessment based on improved Inception-ResNet

in Technical Advances in Plant Science

Chang Song
Bo Peng
Huanyue Wang
Yuhong Zhou
Lei Sun
Xuesong Suo
Xiaofei Fan

Frontiers in Plant Science

doi 10.3389/fpls.2023.1249989

3,882 views
11 citations

Editorial

Published on 24 Aug 2023

Editorial: Harnessing autophagy to improve plant quality and resilience

in Technical Advances in Plant Science

Santiago Signorelli
Kaushal Kumar Bhati

Frontiers in Plant Science

doi 10.3389/fpls.2023.1266982

1,687 views

Original Research

Published on 21 Aug 2023

Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS

in Technical Advances in Plant Science

Bart Vandecasteele
Chris Van Waes

Frontiers in Plant Science

doi 10.3389/fpls.2023.1210791

3,469 views
2 citations

1,686 articles

articles

PMVT: a lightweight vision transformer for plant disease identification on mobile devices

A novel method for maize leaf disease classification using the RGB-D post-segmentation image data

Preparing Arabidopsis thaliana root protoplasts for cryo electron tomography

Quantifying physiological trait variation with automated hyperspectral imaging in rice

High-throughput and separating-free phenotyping method for on-panicle rice grains based on deep learning

Editorial: Advances in breeding for waterlogging tolerance in crops

Vigour testing for the rice seed with computer vision-based techniques

FOTCA: hybrid transformer-CNN architecture using AFNO for accurate plant leaf disease image recognition

Deep learning for Chilean native flora classification: a comparative analysis

Improved EfficientNet for corn disease identification

Hyperspectral imaging combined with CNN for maize variety identification

Efficient Agrobacterium-mediated transformation and genome editing of Fagopyrum tataricum

A method for estimating yield of maize inbred lines by assimilating WOFOST model with Sentinel-2 satellite data

A novel fine-tuned deep-learning-based multi-class classifier for severity of paddy leaf diseases

A novel 3D insect detection and monitoring system in plants based on deep learning

Local refinement mechanism for improved plant leaf segmentation in cluttered backgrounds

Genome-wide association study of cooking-caused grain expansion in rice (Oryza sativa L.)

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

A novel method for irrigating plants, tracking water use, and imposing water deficits in controlled environments

WheatSpikeNet: an improved wheat spike segmentation model for accurate estimation from field imaging

Development of effective model for non-destructive detection of defective kiwifruit based on graded lines

Maize seed appearance quality assessment based on improved Inception-ResNet

Editorial: Harnessing autophagy to improve plant quality and resilience

Fast screening of total nutrient contents in strawberry leaves and spent growing media using NIRS