Table of Contents: 2024

Evaluating Neural Radiance Fields for 3D Plant Geometry Reconstruction in Field Conditions

What to Choose for Estimating Leaf Water Status—Spectral Reflectance or In vivo Chlorophyll Fluorescence?

MTSC-Net: A Semi-Supervised Counting Network for Estimating the Number of Slash pine New Shoots

Deep Learning Methods Using Imagery from a Smartphone for Recognizing Sorghum Panicles and Counting Grains at a Plant Level

CSNet: A Count-Supervised Network via Multiscale MLP-Mixer for Wheat Ear Counting

Study on the Optimal Leaf Area-to-Fruit Ratio of Pear Trees on the Basis of Bearing Branch Girdling and Machine Learning

A Multi-Modal Open Object Detection Model for Tomato Leaf Diseases with Strong Generalization Performance Using PDC-VLD

PREPs: An Open-Source Software for High-Throughput Field Plant Phenotyping

AISOA-SSformer: An Effective Image Segmentation Method for Rice Leaf Disease Based on the Transformer Architecture

High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives against Sclerotinia sclerotiorum

A High-Throughput Method for Accurate Extraction of Intact Rice Panicle Traits

Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition

Maximizing the Radiation Use Efficiency by Matching the Leaf Area and Leaf Nitrogen Vertical Distributions in a Maize Canopy: A Simulation Study

High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth Dynamics

Phenotyping of Drought-Stressed Poplar Saplings Using Exemplar-Based Data Generation and Leaf-Level Structural Analysis

Phenomic Selection for Hybrid Rapeseed Breeding

Characterization and Identification of NPK Stress in Rice Using Terrestrial Hyperspectral Images

SCAG: A Stratified, Clustered, and Growing-Based Algorithm for Soybean Branch Angle Extraction and Ideal Plant Architecture Evaluation

StripeRust-Pocket: A Mobile-Based Deep Learning Application for Efficient Disease Severity Assessment of Wheat Stripe Rust

Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss

Visualization and Quantitative Evaluation of Functional Structures of Soybean Root Nodules via Synchrotron X-ray Imaging

Recognition and Localization of Maize Leaf and Stalk Trajectories in RGB Images Based on Point-Line Net

Grain Protein Content Phenotyping in Rice via Hyperspectral Imaging Technology and a Genome-Wide Association Study

SDC-DeepLabv3+: Lightweight and Precise Localization Algorithm for Safflower-Harvesting Robots

Segment Anything for Comprehensive Analysis of Grapevine Cluster Architecture and Berry Properties

DEKR-SPrior: An Efficient Bottom-Up Keypoint Detection Model for Accurate Pod Phenotyping in Soybean

CucumberAI: Cucumber Fruit Morphology Identification System Based on Artificial Intelligence

Detection and Identification of Tassel States at Different Maize Tasseling Stages Using UAV Imagery and Deep Learning

UAV-Assisted Dynamic Monitoring of Wheat Uniformity toward Yield and Biomass Estimation

From Neglecting to Including Cultivar-Specific Per Se Temperature Responses: Extending the Concept of Thermal Time in Field Crops

Simulation of Automatically Annotated Visible and Multi-/Hyperspectral Images Using the Helios 3D Plant and Radiative Transfer Modeling Framework

Noninvasive Abiotic Stress Phenotyping of Vascular Plant in Each Vegetative Organ View

IHUP: An Integrated High-Throughput Universal Phenotyping Software Platform to Accelerate Unmanned-Aerial-Vehicle-Based Field Plant Phenotypic Data Extraction and Analysis

Three-Dimensional Leaf Edge Reconstruction Combining Two- and Three-Dimensional Approaches

AppleQSM: Geometry-Based 3D Characterization of Apple Tree Architecture in Orchards

Using UAV-Based Temporal Spectral Indices to Dissect Changes in the Stay-Green Trait in Wheat

Out-of-Distribution Detection Algorithms for Robust Insect Classification

AAUConvNeXt: Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures

A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net

The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review

Toward Real Scenery: A Lightweight Tomato Growth Inspection Algorithm for Leaf Disease Detection and Fruit Counting

A Framework for Single-Panicle Litchi Flower Counting by Regression with Multitask Learning

Practical Considerations and Limitations of Using Leaf and Canopy Temperature Measurements as a Stomatal Conductance Proxy: Sensitivity across Environmental Conditions, Scale, and Sample Size

Improved Transformer for Time Series Senescence Root Recognition

Fast and Efficient Root Phenotyping via Pose Estimation

Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data

DC²Net: An Asian Soybean Rust Detection Model Based on Hyperspectral Imaging and Deep Learning

Geographic-Scale Coffee Cherry Counting with Smartphones and Deep Learning

Microfluidic Device for Simple Diagnosis of Plant Growth Condition by Detecting miRNAs from Filtered Plant Extracts

PAT (Periderm Assessment Toolkit): A Quantitative and Large-Scale Screening Method for Periderm Measurements

Channel Attention GAN-Based Synthetic Weed Generation for Precise Weed Identification

Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning

Mitigating Illumination-, Leaf-, and View-Angle Dependencies in Hyperspectral Imaging Using Polarimetry

Handling the Challenges of Small-Scale Labeled Data and Class Imbalances in Classifying the N and K Statuses of Rubber Leaves Using Hyperspectroscopy Techniques

Three-Dimensional Modeling of Maize Canopies Based on Computational Intelligence

Time-Series Field Phenotyping of Soybean Growth Analysis by Combining Multimodal Deep Learning and Dynamic Modeling

High-Throughput Spike Detection in Greenhouse Cultivated Grain Crops with Attention Mechanisms-Based Deep Learning Models

Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review

Dynamic Analysis of Chlorophyll a Fluorescence in Response to Time-Variant Excitations during Strong Actinic Illumination and Application in Probing Plant Water Loss

In Situ Root Dataset Expansion Strategy Based on an Improved CycleGAN Generator

Practical Identifiability of Plant Growth Models: A Unifying Framework and Its Specification for Three Local Indices

Identifying Regenerated Saplings by Stratifying Forest Overstory Using Airborne LiDAR Data

Functional–Structural Plant Model “GreenLab”: A State-of-the-Art Review

Establishing a Gross Primary Productivity Model by SIF and PRI on the Rice Canopy

A Multi-Target Regression Method to Predict Element Concentrations in Tomato Leaves Using Hyperspectral Imaging

DomAda-FruitDet: Domain-Adaptive Anchor-Free Fruit Detection Model for Auto Labeling

Automatic Root Length Estimation from Images Acquired In Situ without Segmentation

Genome-Wide Network Analysis of Above- and Below-Ground Co-growth in Populus euphratica

The Dissection of Nitrogen Response Traits Using Drone Phenotyping and Dynamic Phenotypic Analysis to Explore N Responsiveness and Associated Genetic Loci in Wheat

Exploring the Close-Range Detection of UAV-Based Images on Pine Wilt Disease by an Improved Deep Learning Method

Combinatorial Maps, a New Framework to Model Agroforestry Systems

Noninvasive Detection of Salt Stress in Cotton Seedlings by Combining Multicolor Fluorescence–Multispectral Reflectance Imaging with EfficientNet-OB2

Bio-Master: Design and Validation of a High-Throughput Biochemical Profiling Platform for Crop Canopies

Bridging Time-series Image Phenotyping and Functional–Structural Plant Modeling to Predict Adventitious Root System Architecture