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Record W2769662385 · doi:10.24910/jsustain/1.2/6367

Rainwater Harvesting-Based Marginal Land Irrigation Technology: A Case Study in Ngawen Sub-district of Gunungkidul Regency, Indonesia

2013· article· en· W2769662385 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.

fundA Canadian funder is recorded on the work.
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 Sustainable Future for Human Security · 2013
Typearticle
Languageen
FieldComputer Science
TopicMultimedia Learning Systems
Canadian institutionsnot available
FundersUniversitas Islam IndonesiaUniversity of Waterloo
KeywordsRainwater harvestingIrrigationEnvironmental scienceAgricultureDrainageRainfed agricultureProductivityAgricultural engineeringDrip irrigationHydrology (agriculture)Water resource managementGeographyEngineeringAgronomy

Abstract

fetched live from OpenAlex

Gunungkidul Regency is an area that has both potential and problems in achieving food stability. Though agriculture in this region makes the highest contribution to Gross Regional Domestic Product, the productivity of this sector is still low. Drought is a classic problem and represents the largest barrier in agricultural development, despite high precipitation. This paper describes the design of an efficient irrigation technology to increase agricultural productivity. Specifically, this research aims to determine marginal-land suitability, analyze and design a suitable model of rainwater-harvesting-based irrigation technology. Using the method of combining field study and desktop analysis, the results indicate that the land in the research site is considered suitable given the conditions of a particular treatment for the commodities of upland rice, soybean, corn, green beans, peanuts and cassava. The model rainwater irrigation reservoir is built by considering the drainage flow and the contour of the rainwater catchment area. The feasible irrigation distribution models are the pitcher irrigation system and perforated pipe irrigation system. The pitcher system from the existing reservoir can support a maximum of 24.75 m 2 of land, 120 plants and at least 66 service days. The optimum range of pitcher water is around 25 cm with a 50-cm space between plants and one pitcher serving 4 plants. Meanwhile, the perforated pipe is mounted near the root zone (10 -25 cm) at the depth of 17.5 cm, with 25 cm left-right spacing between plants. An L-shaped pipe can serve 10 plants; one side is mounted underground while the other side is above the land surface for water intake. The pipe system from a reservoir can serve a maximum of 129.5 m 2 land. The study results lead to the conclusion that the most suitable irrigation model in the study area is the perforated pipe system.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.271
Teacher spread0.263 · 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