Evidence map›Paper›PMID 33535445›Full record

ReviewSensors (Basel, Switzerland)2021

Advances in Unmanned Aerial System Remote Sensing for Precision Viticulture.

Alberto Sassu, Filippo Gambella, Luca Ghiani, Luca Mercenaro, Maria Caria, Antonio Luigi Pazzona

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Alberto SassuDepartment of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy.ORCID 0000-0003-1010-3495
Filippo GambellaDepartment of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy.ORCID 0000-0002-7536-3901
Luca GhianiDepartment of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy.ORCID 0000-0002-4636-8957
Luca MercenaroDepartment of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy.
Maria CariaDepartment of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy.ORCID 0000-0002-6393-958X
Antonio Luigi PazzonaDepartment of Agriculture, University of Sassari, Viale Italia 39, 07100 Sassari, Italy.

Funding

PRIN: PROGETTI DI RICERCA DI RILEVANTE INTERESSE NAZIONALE - Bando 2017 "New technical and operative solutions for the use of drones in Agriculture 4.0". Prot. 2017S559BB
6 · The paper itself

Abstract

New technologies for management, monitoring, and control of spatio-temporal crop variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors able to provide useful data for the improvement of management efficiency and the optimization of inputs. unmanned aerial systems (UASs) are the newest and most versatile tools, characterized by high precision and accuracy, flexibility, and low operating costs. The work aims at providing a complete overview of the application of UASs in precision viticulture, focusing on the different application purposes, the applied equipment, the potential of technologies combined with UASs for identifying vineyards' variability. The review discusses the potential of UASs in viticulture by distinguishing five areas of application: rows segmentation and crop features detection techniques; vineyard variability monitoring; estimation of row area and volume; disease detection; vigor and prescription maps creation. Technological innovation and low purchase costs make UASs the core tools for decision support in the customary use by winegrowers. The ability of the systems to respond to the current demands for the acquisition of digital technologies in agricultural fields makes UASs a candidate to play an increasingly important role in future scenarios of viticulture application.

Indexed as

3D vineyard characterizationcanopy height modelprecision farmingprecision viticultureremote sensingsustainability of resourcesUASvegetation indexvineyard detection and segmentation

Identifiers

PMID33535445
PMCPMC7867093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.