Leaf Image

Leaf image analysis is a rapidly developing field focused on extracting meaningful information from images of leaves for various agricultural applications, primarily disease detection and phenotyping. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs) like AlexNet, ResNet, and VGG, as well as vision transformers, to analyze leaf features for tasks such as disease classification, leaf angle estimation, and root segmentation. These advancements enable automated, high-throughput analysis of plant health and morphology, offering significant potential for improving crop yields, optimizing resource management, and accelerating plant breeding efforts.

Papers

October 1, 2024

A Novel Feature Extraction Model for the Detection of Plant Disease from Leaf Images in Low Computational Devices
Rikathi Pal, Anik Basu Bhaumik, Arpan Murmu, Sanoar Hossain, Biswajit Maity, Soumya Sen
Data Detection Resource Constrained Device Plant Disease Leaf Image

August 1, 2024

Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer
Venkat Margapuri, Prapti Thapaliya, Trevor Rife
Vision Transformer Mask R CNN Plant Growth Simulation High Throughput Phenotyping Leaf Image Leaf Size

May 28, 2024

Photorealistic Robotic Simulation using Unreal Engine 5 for Agricultural Applications
Xingjian Li, Lirong Xiang
Robot Simulation Crop Monitoring Leaf Image Agricultural Image

February 27, 2024

ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction
Abhishek Sebastian, Annis Fathima A, Pragna R, Madhan Kumar S, Yaswanth Kannan G, Vinay Murali
Vision Transformer Feature Extraction Image Processing Disease Classification Plant Disease Feature Reduction Accurate Disease Leaf Image Multi Dimensional Re Projection

November 4, 2023

Potato Leaf Disease Classification using Deep Learning: A Convolutional Neural Network Approach
Utkarsh Yashwant Tambe, A. Shobanadevi, A. Shanthini, Hsiu-Chun Hsu
Deep Learning Convolutional Neural Network Leaf Image Potato Disease

October 25, 2023

Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches
Jianping Yao, Son N. Tran, Saurabh Garg, Samantha Sawyer
Deep Learning Convolutional Neural Network Disease Classification Plant Identification CNN Backbone Leaf Image

August 3, 2023

IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep Learning
Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Jati Batoro
Deep Learning Convolutional Neural Network Transfer Learning Practice Mode Leaf Image

January 24, 2023

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa
John Lagergren, Mirko Pavicic, Hari B. Chhetri, Larry M. York, P. Doug Hyatt, David Kainer, Erica M. Rutter, Kevin Flores, Jack Bailey-Bale, Marie Klein, Gail Taylor, Daniel Jacobson, Jared Streich
Plant Phenotyping Population Level Leaf Image Plant Phenotype Vein Segmentation

May 22, 2022

Investigating classification learning curves for automatically generated and labelled plant images
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Manisha Ajmani
Supervised Learning Learning Rate Classification Task Classification Performance Learnable Parameter Learning Curve Leaf Image

April 1, 2022

GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER
Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney, Mariele Donoso Olave, Andreas Burkart, Hannah Jaenicke, Onno Muller, Uwe Rascher, Ribana Roscher
Time Series Unmanned Aerial Vehicle Leaf Image Leaf Instance Segmentation

January 20, 2022

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study
Weihuang Xu, Guohao Yu, Yiming Cui, Romain Gloaguen, Alina Zare, Jason Bonnette, Joel Reyes-Cabrera, Ashish Rajurkar, Diane Rowland, Roser Matamala, Julie D. Jastrow, Thomas E. Juenger, Felix B. Fritschi
Data Set Plant Monitoring Tree Structure SHUSS Root Exploration Term Leaf Image Plant Segmentation

November 5, 2021

A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
Alessandro Benfenati, Davide Bolzi, Paola Causin, Roberto Oberti
Synthetic Image Image Synthesis Plant Leaf Leaf Image Generative Deep Learning Approach

Leaf Image

Papers

A Novel Feature Extraction Model for the Detection of Plant Disease from Leaf Images in Low Computational Devices

Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer

Photorealistic Robotic Simulation using Unreal Engine 5 for Agricultural Applications

ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction

Potato Leaf Disease Classification using Deep Learning: A Convolutional Neural Network Approach

Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches

IndoHerb: Indonesia Medicinal Plants Recognition using Transfer Learning and Deep Learning

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa

Investigating classification learning curves for automatically generated and labelled plant images

GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER

PRMI: A Dataset of Minirhizotron Images for Diverse Plant Root Study

A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves