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Record W7095768499

7ESTEY: USE OF AIRCRAFT FOR PLANT PROTECTION Canadian use of aircraft for plant protection

2015· article· en· W7095768499 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPotato Plant Research
Canadian institutionsnot available
Fundersnot available
KeywordsChemical controlRust (programming language)Crop protectionAbiotic component
DOInot available

Abstract

fetched live from OpenAlex

Since 1912, Canadians have used aircraft as aids in the protection of field crops, orchards, and forests from the ravages of fungi, insects, frost, and fire. At first, only fixed-wing aircraft could be used, but from 1947 both fixed-wing and rotary-wing aircraft have been employed. This review also relates the involvement of pioneering people and companies that have developed aerial control methods against biotic and abiotic agents damaging to our plants. [Utilisation d’avions pour la protection des plantes au Canada] Depuis 1912, les Canadiens ont souvent effectué la protection des cultures agricoles, des vergers et des forêts contre les dommages causés par des agents pathogènes, des insectes, le gel et le feu à l’aide d’avions. On utilisa en premier lieu l’avion à ailes fixes seulement, mais à partir de 1947, celui-ci ainsi que l’aéronef à voilures tournantes ont été utilisés. Cette synthèse retrace de plus l’implication de personnes et de compagnies qui furent des pionniers lors du développement de méthodes de contrôle aériens de plusieurs agents biotiques et abiotiques dommageables pour nos plantes. FIXED-WING AIRCRAFT In the early days of wheat farming in western Canada, it was somewhat of a mystery just how the rust dis-ease of wheat could suddenly appear in many wide-spread locations at the same time. In their study of this mysterious situation, plant pathologists assumed that spores of the rust fungus (Puccinia graminis Pers.:Pers.) were wind-blown, in the spring, from areas in the United States where wheat was already mature and infected with rust. Canadian plant pathologist, Arthur W. Henry (1896-1989) proved this, in 1912-1913, by being part of an aircraft crew that exposed glass microscope-slides, smeared with Vaseline, while the aircraft was flying at various heights. By thus catching rust spores they proved that the disease-inducing fungus came in the form of air-borne spores that were scattered over vast areas at the same time (Stakman et al. 1923). That was the earliest use of aircraft as an aid to plant disease control in North

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.608
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.225
GPT teacher head0.265
Teacher spread0.040 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2015
Admission routes1
Has abstractyes

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