Recognition of Maize Phenology in Sentinel Images with Machine Learning.

Alvaro Murguia-Cozar, Antonia Macedo-Cruz, Demetrio Salvador Fernandez-Reynoso, Jorge Arturo Salgado Transito

Open access · goldAbstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.5field-weighted citation impact, top 31% of its field

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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Alvaro Murguia-CozarColegio de Postgraduados, Campus Montecillo, Carretera Federal Mexico-Texcoco, km. 36.5, Montecillo, Texcoco 56230, State of Mexico, Mexico.ORCID 0000-0003-2102-0644

Antonia Macedo-CruzColegio de Postgraduados, Campus Montecillo, Carretera Federal Mexico-Texcoco, km. 36.5, Montecillo, Texcoco 56230, State of Mexico, Mexico.ORCID 0000-0002-7891-4350

Demetrio Salvador Fernandez-ReynosoColegio de Postgraduados, Campus Montecillo, Carretera Federal Mexico-Texcoco, km. 36.5, Montecillo, Texcoco 56230, State of Mexico, Mexico.ORCID 0000-0002-1734-3152

Jorge Arturo Salgado TransitoColegio Mexicano de Especialistas en Recursos Naturales AC, De las Flores no. 8 s/n, San Luis Huexotla, Texcoco 56220, State of Mexico, Mexico.

Colegio de Postgraduados · MXEl Colegio de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scarcity of water for agricultural use is a serious problem that has increased due to intense droughts, poor management, and deficiencies in the distribution and application of the resource. The monitoring of crops through satellite image processing and the application of machine learning algorithms are technological strategies with which developed countries tend to implement better public policies regarding the efficient use of water. The purpose of this research was to determine the main indicators and characteristics that allow us to discriminate the phenological stages of maize crops (

Indexed as

Machine LearningZea maysAlgorithmsImage Processing, Computer-AssistedSupport Vector Machinecolour characteristicleaf area indexlocal binary patternlocal indicator of spatial associationsupport vector machinetexture characteristic

Identifiers

PMID35009637

DOI10.3390/s22010094

PMCPMC8747376

OpenAlexW4200036861

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.