Results 141 to 150 of about 7,210 (250)

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta   +7 more
wiley   +1 more source

AGIcam: An open‐source Internet of Things–based camera system for automated in‐field phenotyping and yield prediction

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan   +5 more
wiley   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham   +10 more
wiley   +1 more source

Bayesian optimized color filter: A fast method for segmentation of plant phenotypes from 3D point cloud images

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Multispectral three‐dimensional (3D) imaging offers substantial potential for plant phenotyping, yet manual segmentation of plant organs remains a bottleneck in breeding programs. We developed a color‐based filtering workflow for faba bean (Vicia faba L.) point clouds that optimizes lower and upper thresholds of spectral indices and broadband ...
Lennart Scheer   +6 more
wiley   +1 more source

Evaluating early‐season hail damage in corn and its interaction with Goss's wilt

open access: yesAgrosystems, Geosciences &Environment, Volume 9, Issue 3, September 2026.
Abstract Hailstorm losses are associated with plant defoliation, stand losses, and reduced crop canopy capacity to compete with weeds. Additionally, hail wounds in plants might favor disease development, potentially further reducing corn yields. Corn yield losses due to hailstorms early in the growing season are considered minor due to an expected ...
I. P. Lisboa   +4 more
wiley   +1 more source

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