Cover Image

UAV‐based deep transfer learning to improve grain yield prediction in winter wheat across temporal and spatial variability

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Swas Kaushal, Mohammad Maruf Billah, Mandeep Singh, Dante Koupal, Pradeep Raj Sitaula, Jyotirmoy Halder, Jagdeep Sidhu, Maitiniyazi Maimaitijiang, Sunish K. Sehgal
Format:	Artículo Open Access
Published:	Wiley 2026
Subjects:	The Plant Phenome Journal
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rapid estimation of DON content in wheat flour using close‐range hyperspectral imaging and machine learning
by: Dinesh Kumar Saini, et al.
Published: (2024)

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

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

Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat
by: Melinda Zubrod, et al.
Published: (2026)

Hyperspectral imaging combined with machine learning for high‐throughput phenotyping in winter wheat
by: Sehijpreet Kaur, et al.
Published: (2024)

Estimating Fusarium head blight severity in winter wheat using deep learning and a spectral index
by: Riley McConachie, et al.
Published: (2024)

Spatial analysis with unoccupied aircraft systems data in wheat breeding yield trials
by: Andrew W. Herr, et al.
Published: (2024)

Limitations of phenomic prediction for evaluating wheat stem sawfly resistance in wheat breeding programs
by: Sydney E. Graham, et al.
Published: (2025)

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

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
by: Sanju Shrestha, et al.
Published: (2026)

Comparison of PhenoCams and drones for lean phenotyping of phenology and senescence of wheat genotypes in variety testing
by: Simon Treier, et al.
Published: (2025)

Temporal genetic relationships between growth, development, and malting quality in winter barley ( Hordeum vulgare ) using aerial imagery
by: Amelia Loeb, et al.
Published: (2025)

Deployment and analysis of instance segmentation algorithm for in‐field yield estimation of sweet potatoes
by: Hoang M. Nguyen, et al.
Published: (2025)

UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs
by: Ocident Bongomin, et al.
Published: (2024)

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield
by: Yuto Imachi, et al.
Published: (2026)

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

Plant height defined growth curves can predict end of season maize yield
by: Dorothy D. Sweet, et al.
Published: (2025)

Radiometric calibration of UAV multispectral images under changing illumination conditions with a downwelling light sensor
by: Vaishali Swaminathan, et al.
Published: (2024)

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

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment
by: Ved Parkash, et al.
Published: (2026)

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

Improving estimation of days to maturity in field pea using RGB aerial imagery and machine learning
by: Harry Navasca, et al.
Published: (2025)

Class‐specific data augmentation for plant stress classification
by: Nasla Saleem, et al.
Published: (2024)

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

Utilizing QGIS for open‐source UAS imagery plant classification and plot segmentation
by: Erik Z. Killian, et al.
Published: (2025)

Drone‐based imaging sensors, techniques, and applications in plant phenotyping for crop breeding: A comprehensive review
by: Boubacar Gano, et al.
Published: (2024)

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans
by: Lovepreet Singh, et al.
Published: (2026)

Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture
by: Vaishali Swaminathan, et al.
Published: (2024)

Drone‐based polarization imaging system for leaf spot severity determination in peanut plants
by: Joshua Larsen, et al.
Published: (2025)

Issue Information
Published: (2025)

Issue Information
Published: (2025)

Do not benchmark phenomic prediction against genomic prediction accuracy
by: Fangyi Wang, et al.
Published: (2025)

Recipients of 2023 The Plant Phenome Journal Editor's Citation for Excellence Named
Published: (2024)

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding
by: Nathaniel Burner, et al.
Published: (2026)

Three‐dimensional phenotyping of soybean roots under different water treatment conditions using fringe projection
by: Victoria MacDans, et al.
Published: (2025)

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
by: Daniel Kingsley Cudjoe, et al.
Published: (2026)

A root system architecture measurement pipeline for apple rootstocks
by: Jean Sabety, et al.
Published: (2024)

Foliar and berry hyperspectral reflectance predicts winegrape berry composition across developmental stages and varieties
by: Christopher Y. S. Wong, et al.
Published: (2025)

Prediction of symbiotic nitrogen fixation in common bean ( Phaseolus vulgaris L.) using unmanned aerial system remote sensing
by: Madison Whyte, et al.
Published: (2025)

Deep learning‐based high‐throughput detection of flowered maize ( Zea mays L.) plots from UAS imagery across environments
by: Nicholas R. Shepard, et al.
Published: (2025)