Table of Contents: 2025

LenRuler: a rice-centric method for automated radicle length measurement with multicrop validation

Exploring the depth of the maize canopy LAI detected by spectroscopy based on simulations and in situ measurements

Development of an automated phenotyping platform and identification of a novel QTL for drought tolerance in soybean

Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight

Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms

TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud

De-occlusion models and diffusion-based data augmentation for size estimation of on-plant oriental melons

KDOSS-net: Knowledge distillation-based outpainting and semantic segmentation network for crop and weed images

Volumetric Deep Learning-Based Precision Phenotyping of Gene-Edited Tomato for Vertical Farming

Analysis of Wheat Spike Morphological Traits by 2D Imaging

PhenoRob-F: An autonomous ground-based robot for high-throughput phenotyping of field crops

ChatLeafDisease: a chain-of-thought prompting approach for crop disease classification using large language models

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Multi-modal few-shot learning for anthesis prediction of individual wheat plants

RsegNet: An Advanced Methodology for Individual Rubber Tree Segmentation and Structural Parameter Extraction from UAV LiDAR Point Clouds

Predictive modeling, pattern recognition, and spatiotemporal representations of plant growth in simulated and controlled environments: A comprehensive review

Seeing the unseen: A novel approach to extract latent plant root traits from digital images

FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection

Panoptic segmentation for complete labeling of fruit microstructure in 3D micro-CT images with deep learning

CitrusGAN: sparse-view X-ray CT reconstruction for citrus based on generative adversarial networks

Field phenotyping for soybean density tolerance using time-series prediction and dynamic modeling

Bayesian adaptive sampling: A smart approach for affordable germination phenotyping

A keypoint-based method for detecting weed growth points in corn field environments

Generation of labeled leaf point clouds for plants trait estimation

Performance of stacking machine learning and volume model for improving corn above ground biomass prediction

Limit and enhancing potential of canopy photosynthesis for greenhouse tomato: a model analysis in different climatic environments

Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning

Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++

An unsupervised semantic segmentation network for wood–leaf separation in 3D point clouds

Near-infrared spectroscopy as a high-throughput phenotyping method for fusiform rust resistance in loblolly pine

A novel constrained spectral matching approach for extending UAV multispectral reflectance measurements and estimating nitrogen and phosphorus contents in wetland vegetation species

Influence of fertilization on the dynamics of energy use in wheat

Self-adaptive individual tree modeling based on skeleton graph optimization and fractal self-similarity

TPDNet: Triple phenotype deepen networks for monocular 3D object detection of melons and fruits in fields

FreezeNet: A Lightweight Model for Enhancing Freeze Tolerance Assessment and Genetic Analysis in Wheat

Determination of optimal sampling time of grape embryo rescue based on near infrared spectroscopy combined with machine learning

Assessment of Forest Loss Following Snow and Ice Storms Using the LiDAR Forest Structure Change Index

Location-guided lesions representation learning via image generation for assessing plant leaf diseases severity

SMICGS: A novel snapshot multispectral imaging sensor for quantitative monitoring of crop growth

A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds

PodNet: Pod real-time instance segmentation in pre-harvest soybean fields

Syndrome “basses richesses” disease induced structural deformations and sectorial distribution of photoassimilates in sugar beet taproot revealed by combined MRI-PET imaging

Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models

XFruitSeg—A general plant fruit segmentation model based on CT imaging

RGB imaging and computer vision-based approaches for identifying spike number loci for wheat

Monitoring and Risk Prediction of Low-Temperature Stress in Strawberries through Fusion of Multisource Phenotypic Spatial Variability Features

Automated 3D Segmentation of Plant Organs via the Plant-MAE: A Self-Supervised Learning Framework

Analysis of variance and its sources in UAV-based multi-view thermal imaging of wheat plots

PhenoGazer: A high-throughput phenotyping system to track plant stress responses using hyperspectral reflectance, nighttime chlorophyll fluorescence and RGB imaging in controlled environments

High-Throughput Field Phenotyping Using Unmanned Aerial Vehicles (UAVs) for Rapid Estimation of Photosynthetic Traits

SSP-MambaNet: An automated system for detection and counting of missing seedlings in glass greenhouse-grown virus-free strawberry

Insights of freshness phenotype detection for postharvest fruit and vegetables

Drought stress responses deconstructed: A comprehensive approach for Norway spruce seedlings using high-throughput phenotyping with integrated metabolomics and transcriptomics

MADI: A multispectral automated dynamic imager to monitor plant health

Winter wheat yield prediction using UAV-based multivariate time series data and variate-independent tokenization

VRoot: A VR-Based application for manual root system architecture reconstruction

Design and implementation of a high-throughput field phenotyping robot for acquiring multisensor data in wheat

Soybean yield estimation and lodging discrimination based on lightweight UAV and point cloud deep learning

Spotibot: Rapid scoring of Botrytis lesions on rose petals using deep learning and mobile computing

IMP²RIS, an automated plant root PET radiotracer gas delivery system for in-soil visualization of symbiotic N2 fixation in nodulated roots of soybean plants via PET imaging

3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy

Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery

RGB imaging-based evaluation of waterlogging tolerance in cultivated and wild chrysanthemums

Combining UAV multisensor field phenotyping and genome-wide association studies to reveal the genetic basis of plant height in cotton (Gossypium hirsutum)

Segmenting vegetation from UAV images via spectral reconstruction in complex field environments

CVRP: A rice image dataset with high-quality annotations for image segmentation and plant phenomics research

LKNet: Enhancing rice canopy panicle counting accuracy with an optimized point-based framework

Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping

Identification of phenotypic and transcriptomic signatures underpinning maize crown root systems

A hybrid method for water stress evaluation of rice with the radiative transfer model and multidimensional imaging

Fitting maximum crown width height of Chinese fir through ensemble learning combined with fine spatial competition

A deep learning-based micro-CT image analysis pipeline for nondestructive quantification of the maize kernel internal structure

PlantCaFo: An efficient few-shot plant disease recognition method based on foundation models

The blessing of Depth Anything: An almost unsupervised approach to crop segmentation with depth-informed pseudo labeling

Genetic resolution of multi-level plant height in common wheat using the 3D canopy model from ultra-low altitude unmanned aerial vehicle imagery

Integrating crop models, single nucleotide polymorphism, and climatic indices to develop genotype-environment interaction model: A case study on rice flowering time

In vivo tracing the trajectory of cell lignification in pear fruit during development using click chemistry imaging

Multi-granularity alignment for crop diseases detection

3D-NOD: 3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework

Integrating UAV remote sensing and semi-supervised learning for early-stage maize seedling monitoring and geolocation

Targeted integrating hyperspectral and metabolomic data with spectral indices and metabolite content models for efficient salt-tolerant phenotype discrimination in Medicago truncatula

Pre-symptomatic diagnosis of rice blast and brown spot diseases using chlorophyll fluorescence imaging

Integrating 3D Canopy Reconstruction to Assess Photosynthetic and Carbon Sequestration Responses of Larch Plantations to Drought Stress

From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use Efficiency in Wheat

Informed-Learning-Guided Visual Question Answering Model of Crop Disease

Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in Ginkgo from Bidirectional Reflectance Factor Spectra

A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks

PanicleNeRF: Low-Cost, High-Precision In-Field Phenotyping of Rice Panicles with Smartphone

Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat

Seasonal Fluctuations and Vertical Heterogeneity of Biochemical–Structural Parameters in Wetland Emergent Aquatic Vegetation

One to All: Toward a Unified Model for Counting Cereal Crop Heads Based on Few-Shot Learning