ArticleSensors (Basel, Switzerland)2017
Phenoliner: A New Field Phenotyping Platform for Grapevine Research.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Machine Learning Analysis of Hyperspectral Images of Damaged Wheat Kernels.Sensors (Basel, Switzerland) · 2023Article
- Designing a Proximal Sensing Camera Acquisition System for Vineyard Applications: Results and Feedback on 8 Years of Experiments.Sensors (Basel, Switzerland) · 2023Article
- LiDAR Is Effective in Characterizing Vine Growth and Detecting Associated Genetic Loci.Plant phenomics (Washington, D.C.) · 2023Article
- Detection of Anomalous Grapevine Berries Using Variational Autoencoders.Frontiers in plant science · 2022Article
- Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks.Frontiers in artificial intelligence · 2022Article
- A Review of High-Throughput Field Phenotyping Systems: Focusing on Ground Robots.Plant phenomics (Washington, D.C.) · 2022Review
- High-Throughput Phenotyping: A Platform to Accelerate Crop Improvement.Phenomics (Cham, Switzerland) · 2021Review
- Candidate genes and SNPs associated with stomatal conductance under drought stress in Vitis.BMC plant biology · 2021Article
- Potential Phenotyping Methodologies to Assess Inter- and Intravarietal Variability and to Select Grapevine Genotypes Tolerant to Abiotic Stress.Frontiers in plant science · 2021Review
- Evaluating the suitability of hyper- and multispectral imaging to detect foliar symptoms of the grapevine trunk disease Esca in vineyards.Plant methods · 2020Article
- Opportunities and Limitations of Crop Phenotyping in Southern European Countries.Frontiers in plant science · 2019Review
- Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection.Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In grapevine research the acquisition of phenotypic data is largely restricted to the field due to its perennial nature and size. The methodologies used to assess morphological traits and phenology are mainly limited to visual scoring. Some measurements for biotic and abiotic stress, as well as for quality assessments, are done by invasive measures. The new evolving sensor technologies provide the opportunity to perform non-destructive evaluations of phenotypic traits using different field phenotyping platforms. One of the biggest technical challenges for field phenotyping of grapevines are the varying light conditions and the background. In the present study the Phenoliner is presented, which represents a novel type of a robust field phenotyping platform. The vehicle is based on a grape harvester following the concept of a moveable tunnel. The tunnel it is equipped with different sensor systems (RGB and NIR camera system, hyperspectral camera, RTK-GPS, orientation sensor) and an artificial broadband light source. It is independent from external light conditions and in combination with artificial background, the Phenoliner enables standardised acquisition of high-quality, geo-referenced sensor data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.