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Record W2991927470 · doi:10.5539/jas.v12n1p179

Spectral Behavior of Pinus elliottii, Subjected to Drought in Southern Brazil

2019· article· en· W2991927470 on OpenAlexvenueno aff
Géssyca Fernanda de Sena Oliveira, Uilian do Nascimento Barbosa, José Jorge Monteiro, Diogo José Oliveira Pimentel, Julianne Moura da Silva, Lorena Melo, Giselle Lemos Moreira, Gabriela Salami, Tamires Leal de Lima, Pierre André Bellé, Elisiane Alba, Emanuel Araújo Silva, Rudiney Soares Pereira, Adriano Castelo dos Santos

Bibliographic record

VenueJournal of Agricultural Science · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicRemote Sensing in Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsPinus <genus>SpectroradiometerRange (aeronautics)Environmental scienceSpectral analysisGeographyAtmospheric sciencesForestryPhysical geographyBotanyGeologyReflectivityBiologyPhysicsMaterials scienceSpectroscopy

Abstract

fetched live from OpenAlex

The second most cultivated plant to a forest range in Brazil is the Pinus elliottii. This paper aims to evaluate the spectral behavior of individuals of Pinus elliottii in the electromagnetic radiation (1st) of the visible and (2nd) the infrared, when submitted to the water deficit. The experiment was conducted in the city of Santa Maria located at the Rio Grande do Sul State. The spectral responses of 10 individuals of Pinus elliottii were observed in different climatic seasons at 24 months of age. To evaluate the spectral behavior a spectroradiometer was used, and the behavior in the 450 to 1700 nm range was analyzed. Five individuals were submitted to water deficit treatment and five were used as controls, remaining in adequate water conditions. The spectral pattern for individuals submitted to water deficit was similar, but a trend of wavelength responses in the region of visible green (577-491 nm) and near-infrared (1100-789 nm) was noticeable. The most evident differences occurred in the fall season when differences in spectral amplitudes are noticeable and significantly different from the rest of the year.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.219
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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