ArticleSensors (Basel, Switzerland)2015
Vineyard yield estimation based on the analysis of high resolution images obtained with artificial illumination at night.
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Detection method for munage grape clusters and abnormal berries under color-similar backgrounds.Frontiers in plant science · 2026Article
- Segment Anything for Comprehensive Analysis of Grapevine Cluster Architecture and Berry Properties.Plant phenomics (Washington, D.C.) · 2024Article
- In-Field Automatic Detection of Grape Bunches under a Totally Uncontrolled Environment.Sensors (Basel, Switzerland) · 2021Article
- Grape Cluster Detection Using UAV Photogrammetric Point Clouds as a Low-Cost Tool for Yield Forecasting in Vineyards.Sensors (Basel, Switzerland) · 2021Article
- Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment.Sensors (Basel, Switzerland) · 2019Article
- Investigating 2-D and 3-D Proximal Remote Sensing Techniques for Vineyard Yield Estimation.Sensors (Basel, Switzerland) · 2019Article
- Natural Inspired Intelligent Visual Computing and Its Application to Viticulture.Sensors (Basel, Switzerland) · 2017Article
- Towards Automated Large-Scale 3D Phenotyping of Vineyards under Field Conditions.Sensors (Basel, Switzerland) · 2016Article
- Robust Grape Cluster Detection in a Vineyard by Combining the AdaBoost Framework and Multiple Color Components.Sensors (Basel, Switzerland) · 2016Article
- Node Detection and Internode Length Estimation of Tomato Seedlings Based on Image Analysis and Machine Learning.Sensors (Basel, Switzerland) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a method for vineyard yield estimation based on the analysis of high-resolution images obtained with artificial illumination at night. First, this paper assesses different pixel-based segmentation methods in order to detect reddish grapes: threshold based, Mahalanobis distance, Bayesian classifier, linear color model segmentation and histogram segmentation, in order to obtain the best estimation of the area of the clusters of grapes in this illumination conditions. The color spaces tested were the original RGB and the Hue-Saturation-Value (HSV). The best segmentation method in the case of a non-occluded reddish table-grape variety was the threshold segmentation applied to the H layer, with an estimation error in the area of 13.55%, improved up to 10.01% by morphological filtering. Secondly, after segmentation, two procedures for yield estimation based on a previous calibration procedure have been proposed: (1) the number of pixels corresponding to a cluster of grapes is computed and converted directly into a yield estimate; and (2) the area of a cluster of grapes is converted into a volume by means of a solid of revolution, and this volume is converted into a yield estimate; the yield errors obtained were 16% and -17%, respectively.
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.