ArticleSensors (Basel, Switzerland)2017
Artificial Neural Network to Predict Vine Water Status Spatial Variability Using Multispectral Information Obtained from an Unmanned Aerial Vehicle (UAV).
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 15 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
15 citing papers in PubMed, 128 citations in OpenAlex.
- Frost damage segmentation in grapevine organs using YOLOv11s with ASPP and dynamic confidence thresholding.Scientific reports · 2026Article
- K-means clustering applied to vegetation indices for mapping cultivated areas using high-resolution Moroccan Mohammed VI satellite imagery.Scientific reports · 2026Article
- Estimating soil profile salinity under vegetation cover based on UAV multi-source remote sensing.Scientific reports · 2025Article
- Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of Grapevines.Sensors (Basel, Switzerland) · 2025Article
- Recent Methods for Evaluating Crop Water Stress Using AI Techniques: A Review.Sensors (Basel, Switzerland) · 2024Review
- Can Grapevine Leaf Water Potential Be Modelled from Physiological and Meteorological Variables? A Machine Learning Approach.Plants (Basel, Switzerland) · 2023Article
- Estimation of tomato water status with photochemical reflectance index and machine learning: Assessment from proximal sensors and UAV imagery.Frontiers in plant science · 2023Article
- Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing.Sensors (Basel, Switzerland) · 2022Article
- Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms.Scientific reports · 2022Article
- Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms.Scientific reports · 2022Article
- Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture.Sensors (Basel, Switzerland) · 2021Review
- Evapotranspiration Estimation with Small UAVs in Precision Agriculture.Sensors (Basel, Switzerland) · 2020Review
- Fusion of Spectroscopy and Cobalt Electrochemistry Data for Estimating Phosphate Concentration in Hydroponic Solution.Sensors (Basel, Switzerland) · 2019Article
- A Holistic Approach to the Evaluation of the Montado Ecosystem Using Proximal Sensors.Sensors (Basel, Switzerland) · 2018Article
- Automatic Coregistration Algorithm to Remove Canopy Shaded Pixels in UAV-Borne Thermal Images to Improve the Estimation of Crop Water Stress Index of a Drip-Irrigated Cabernet Sauvignon Vineyard.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
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Water stress, which affects yield and wine quality, is often evaluated using the midday stem water potential (Ψ
Indexed as
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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.