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Record W4401276182 · doi:10.5376/ijmeb.2024.14.0006

Environmental Impacts of Sugarcane Cultivation Soil Degradation and Erosion Dynamics

2024· article· en· W4401276182 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Molecular Evolution and Biodiversity · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSugarcane Cultivation and Processing
Canadian institutionsnot available
Fundersnot available
KeywordsSoil retrogression and degradationEnvironmental scienceTillageSoil biodiversitySustainabilityAgricultureEnvironmental degradationAgroforestryNo-till farmingErosionSoil conservationErosion controlLand degradationAgronomySoil fertilityAgricultural engineeringSoil waterEcologySoil scienceEngineeringBiology

Abstract

fetched live from OpenAlex

As an important sugar crop, sugarcane is widely planted in tropical and subtropical regions worldwide. However, its cultivation process may have adverse effects on soil structure, nutrients, and ecological balance. Soil degradation and erosion, as important environmental issues, not only threaten the sustainability of agricultural production, but also pose challenges to the stability of ecosystems. This study delves into the specific impacts of sugarcane cultivation activities on soil environment, particularly the dynamic changes in soil degradation and erosion. By revealing the potential link between sugarcane cultivation and soil degradation and erosion, research has found that unreasonable planting methods and management measures, such as excessive tillage, unreasonable fertilization, and irrigation, may accelerate the process of soil degradation and erosion. At the same time, corresponding prevention and control strategies and management suggestions were proposed, aiming to reduce the negative impact of sugarcane cultivation on the soil environment, promote sustainable agricultural development, and have important significance for protecting soil resources, maintaining ecological balance, and promoting sustainable agricultural development.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.849
Threshold uncertainty score0.117

Codex and Gemma teacher scores by category

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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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