Leaf Images | List of Frontiers open access articles

Original Research

Published on 26 May 2022

Automatic Plant Disease Detection Based on Tranvolution Detection Network With GAN Modules Using Leaf Images

in Technical Advances in Plant Science

Yan Zhang
Shiyun Wa
Longxiang Zhang
Chunli Lv

Frontiers in Plant Science

doi 10.3389/fpls.2022.875693

13,125 views
106 citations

Original Research

Published on 22 Dec 2020

Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism

in Technical Advances in Plant Science

Guofeng Yang
Yong He
Yong Yang
Beibei Xu

Frontiers in Plant Science

doi 10.3389/fpls.2020.600854

17,258 views
76 citations

Original Research

Published on 08 Jan 2024

PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning

in Technical Advances in Plant Science

Punam Bedi
Pushkar Gole
Sudeep Marwaha

Frontiers in Plant Science

doi 10.3389/fpls.2023.1319894

6,150 views
18 citations

Original Research

Published on 07 Oct 2022

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

in Plant Bioinformatics

Muhammad Shoaib
Tariq Hussain
Babar Shah
Ihsan Ullah
Sayyed Mudassar Shah
Farman Ali
Sang Hyun Park

Frontiers in Plant Science

doi 10.3389/fpls.2022.1031748

36,555 views
230 citations

Original Research

Published on 22 Oct 2025

Grading for grapevine downy mildew and feature extraction methods for predicting abaxial lesions from adaxial leaf images

in Sustainable and Intelligent Phytoprotection

Bohao Liu
Cuiling Li
Jianjun Hao
Jian Song
Haowei Liu
Hongwei Yan
Changyuan Zhai

Frontiers in Plant Science

doi 10.3389/fpls.2025.1688315

1,529 views
1 citation

Methods

Published on 03 May 2022

Apple Disease Recognition Based on Convolutional Neural Networks With Modified Softmax

in Technical Advances in Plant Science

Ping Li
Rongzhi Jing
Xiaoli Shi

Frontiers in Plant Science

doi 10.3389/fpls.2022.820146

3,753 views
22 citations

Original Research

Published on 29 Nov 2023

Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM

in Plant Nutrition

Kun Xu
Lin-Lin Sun
Jing Wang
Shuang-Xi Liu
Hua-Wei Yang
Ning Xu
Hong-Jian Zhang
Jin-Xing Wang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1271933

4,261 views
6 citations

Original Research

Published on 31 May 2017

LeafletAnalyzer, an Automated Software for Quantifying, Comparing and Classifying Blade and Serration Features of Compound Leaves during Development, and among Induced Mutants and Natural Variants in the Legume Medicago truncatula

in Technical Advances in Plant Science

Fuqi Liao
Jianling Peng
Rujin Chen

Frontiers in Plant Science

doi 10.3389/fpls.2017.00915

5,503 views
10 citations

Original Research

Published on 08 Sep 2022

DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification

in Sustainable and Intelligent Phytoprotection

Saleh Albahli
Marriam Nawaz

Frontiers in Plant Science

doi 10.3389/fpls.2022.957961

5,859 views
42 citations

Original Research

Published on 17 Mar 2017

Digital Morphometrics of Two North American Grapevines (Vitis: Vitaceae) Quantifies Leaf Variation between Species, within Species, and among Individuals

in Plant Biophysics and Modeling

Laura L. Klein
Madeleine Caito
Chad Chapnick
Cassandra Kitchen
Regan O’Hanlon
Dan H. Chitwood
Allison J. Miller

Frontiers in Plant Science

doi 10.3389/fpls.2017.00373

29,784 views
60 citations

Original Research

Published on 19 Jan 2026

Chat Demeter: a multi-agent system for plant disease diagnosis integrating CNN-transformer models

in Sustainable and Intelligent Phytoprotection

Sainan Zhang

Frontiers in Plant Science

doi 10.3389/fpls.2025.1695227

823 views

Original Research

Published on 27 Nov 2024

AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases

in Plant Bioinformatics

Muhammad Umair Ali
Majdi Khalid
Majed Farrash
Hassan Fareed M. Lahza
Amad Zafar
Seong-Han Kim

Frontiers in Plant Science

doi 10.3389/fpls.2024.1502314

4,145 views
12 citations

Original Research

Published on 13 Sep 2022

Leaf disease image retrieval with object detection and deep metric learning

in Technical Advances in Plant Science

Yingshu Peng
Yi Wang

Frontiers in Plant Science

doi 10.3389/fpls.2022.963302

9,053 views
37 citations

Review

Published on 25 Oct 2024

Deep learning networks-based tomato disease and pest detection: a first review of research studies using real field datasets

in Technical Advances in Plant Science

Mohieddine Jelali

Frontiers in Plant Science

doi 10.3389/fpls.2024.1493322

7,008 views
21 citations

Original Research

Published on 11 Dec 2023

Denoising Diffusion Probabilistic Models and Transfer Learning for citrus disease diagnosis

in Technical Advances in Plant Science

Yuchen Li
Jianwen Guo
Honghua Qiu
Fengyi Chen
Junqi Zhang

Frontiers in Plant Science

doi 10.3389/fpls.2023.1267810

4,789 views
12 citations

Methods

Published on 15 Feb 2019

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network

in Computational Genomics

Ke Lin
Liang Gong
Yixiang Huang
Chengliang Liu
Junsong Pan

Frontiers in Plant Science

doi 10.3389/fpls.2019.00155

20,755 views
233 citations

Articles

Automatic Plant Disease Detection Based on Tranvolution Detection Network With GAN Modules Using Leaf Images

Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism

PDSE-Lite: lightweight framework for plant disease severity estimation based on Convolutional Autoencoder and Few-Shot Learning

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

Grading for grapevine downy mildew and feature extraction methods for predicting abaxial lesions from adaxial leaf images

Apple Disease Recognition Based on Convolutional Neural Networks With Modified Softmax

Potassium deficiency diagnosis method of apple leaves based on MLR-LDA-SVM

LeafletAnalyzer, an Automated Software for Quantifying, Comparing and Classifying Blade and Serration Features of Compound Leaves during Development, and among Induced Mutants and Natural Variants in the Legume Medicago truncatula

DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification

Digital Morphometrics of Two North American Grapevines (Vitis: Vitaceae) Quantifies Leaf Variation between Species, within Species, and among Individuals

Chat Demeter: a multi-agent system for plant disease diagnosis integrating CNN-transformer models

AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases

Leaf disease image retrieval with object detection and deep metric learning

Deep learning networks-based tomato disease and pest detection: a first review of research studies using real field datasets

Denoising Diffusion Probabilistic Models and Transfer Learning for citrus disease diagnosis

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network