Results 131 to 140 of about 49,483 (287)
New Phytologist, EarlyView.Summary The last decade has marked a period of rapid innovation in high‐throughput phenotyping (HTP) of plants. This includes the establishment of robotic phenotyping infrastructure, development of new sensors, and improvements in computation for downstream analysis.
To‐Chia Ting +5 more
wiley +1 more source
Plant Breeding, EarlyView.ABSTRACT Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness.
Marcos Bruno da Costa Santos +7 more
wiley +1 more source
Restoration Ecology, EarlyView.Abstract Introduction By focusing on the specific functional traits of species, we can better understand how ecosystems function and respond to environmental change. However, field measurements of functional traits can be time‐consuming and costly, whereas remote sensing data can serve as viable alternatives for studying biodiversity at larger scales ...
Júlia Ayres de Oliveira +8 more
wiley +1 more source
Viable but Nonculturable State, a Survival Strategy for Salmonella in Aquatic Environments
Water and Environment Journal, EarlyView.Transition of Salmonella from a culturable state to a viable but nonculturable state under various environmental stresses and current methods for detecting viable Salmonella in environmental samples. ABSTRACT In the relentless battle for survival, Salmonella has evolved mechanisms to withstand harsh conditions such as extreme temperatures, fluctuating ...
Sanelisiwe Thinasonke Duze +3 more
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source
OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification
Scientific DataIn the context of the increasing popularity of Big Data paradigms and deep learning techniques, we introduce a novel large-scale hyperspectral imagery dataset, termed Orbita Hyperspectral Images Dataset-1 (OHID-1).
Ashish Mani +14 more
doaj +1 more source
PlantCV v4: Image analysis software for high‐throughput plant phenotyping
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl +61 more
wiley +1 more source
A systematic color correction pipeline for controlled‐environment imaging
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source