Image de couverture de livre

Deep learning‐based high‐throughput detection of flowered maize ( Zea mays L.) plots from UAS imagery across environments

Fuente: Wiley Open Access

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Nicholas R. Shepard, Aaron J. DeSalvio, Mustafa Arik, Alper Adak, Seth C. Murray, Jose Ignacio Varela
Format:	Artículo Open Access
Publié:	Wiley 2025
Sujets:	The Plant Phenome Journal
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

High temporal resolution unoccupied aerial systems phenotyping provides unique information between flight dates
par: Jacob D. Washburn, et autres
Publié: (2024)

Utilizing QGIS for open‐source UAS imagery plant classification and plot segmentation
par: Erik Z. Killian, et autres
Publié: (2025)

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane
par: Paulo H. da Silva Santos, et autres
Publié: (2026)

Hyperspectral sensing for high‐throughput chloride detection in grapevines
par: Sadikshya Sharma, et autres
Publié: (2024)

Soybean maturity prediction using two‐dimensional contour plots from drone‐based time series imagery
par: Bitgoeul Kim, et autres
Publié: (2025)

High‐throughput classification and quantification of skinning phenotype in sweet potatoes
par: Zachary A. Bloom, et autres
Publié: (2025)

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat
par: Melinda Zubrod, et autres
Publié: (2026)

Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat
par: Sehijpreet Kaur, et autres
Publié: (2024)

UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs
par: Ocident Bongomin, et autres
Publié: (2024)

A novel high‐throughput digital morphological phenotyping method for evaluating growth traits in rice
par: Sorawich Pongpiyapaiboon, et autres
Publié: (2025)

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
par: Sanju Shrestha, et autres
Publié: (2026)

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry
par: Eva Coindre, et autres
Publié: (2026)

Fourier‐transform mid‐infrared spectroscopy for high‐throughput phenotyping of total dietary fiber in pulse crops
par: Amod Madurapperumage, et autres
Publié: (2025)

Improving estimation of days to maturity in field pea using RGB aerial imagery and machine learning
par: Harry Navasca, et autres
Publié: (2025)

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans
par: Lovepreet Singh, et autres
Publié: (2026)

Phenotype imputation using high‐throughput phenotyping produces a new secondary trait for further selection modeling
par: Raysa Gevartosky, et autres
Publié: (2026)

High‐throughput phenotyping of stay‐green in a sorghum breeding program using unmanned aerial vehicles and machine learning
par: N. Ace Pugh, et autres
Publié: (2025)

UAV‐based high‐throughput phenotyping for crop growth analysis and seed yield prediction in a nested association mapping population of lentils
par: Sandesh Neupane, et autres
Publié: (2025)

Temporal genetic relationships between growth, development, and malting quality in winter barley ( Hordeum vulgare ) using aerial imagery
par: Amelia Loeb, et autres
Publié: (2025)

Optimizing wheat crop performance: Genomic and phenomic insights into yield and days to maturity prediction using multi‐temporal UAV imagery
par: Sahameh Shafiee, et autres
Publié: (2024)

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials
par: Danilo E. Moreta, et autres
Publié: (2026)

Plant height defined growth curves can predict end of season maize yield
par: Dorothy D. Sweet, et autres
Publié: (2025)

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery
par: Aliasghar Bazrafkan, et autres
Publié: (2026)

Temporal field phenomics of transgenic maize events subjected to drought stress: Cross‐validation scenarios and machine learning models
par: Helcio Duarte Pereira, et autres
Publié: (2025)

Zero‐shot insect detection via weak language supervision
par: Benjamin Feuer, et autres
Publié: (2024)

Leaf hyperspectral reflectance detects pre‐visual stress to Fusarium wilt in strawberries
par: Jessie Au, et autres
Publié: (2025)

Foliar and berry hyperspectral reflectance predicts winegrape berry composition across developmental stages and varieties
par: Christopher Y. S. Wong, et autres
Publié: (2025)

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability
par: Swas Kaushal, et autres
Publié: (2026)

Forward prediction of grain yield across early and advanced generations in winter wheat ( Triticum aestivum L.) using NIRS‐based models
par: Pranvera Berisha, et autres
Publié: (2025)

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress
par: Mohammad Anisur Rahaman, et autres
Publié: (2026)

Assessing robustness and transferability of image‐based semantic segmentation models for major field crops
par: Gustavo N. Santiago, et autres
Publié: (2026)

Comparison of PhenoCams and drones for lean phenotyping of phenology and senescence of wheat genotypes in variety testing
par: Simon Treier, et autres
Publié: (2025)

Class‐specific data augmentation for plant stress classification
par: Nasla Saleem, et autres
Publié: (2024)

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height
par: Malcolm J. Morrison, et autres
Publié: (2026)

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
par: Boubacar Gano, et autres
Publié: (2024)

Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture
par: Vaishali Swaminathan, et autres
Publié: (2024)

Drone‐based polarization imaging system for leaf spot severity determination in peanut plants
par: Joshua Larsen, et autres
Publié: (2025)

Issue Information
Publié: (2025)

Issue Information
Publié: (2025)

Estimating Fusarium head blight severity in winter wheat using deep learning and a spectral index
par: Riley McConachie, et autres
Publié: (2024)