Developing a WebGIS Fertilizer Decision Support System in Black Soil Zone of Northeast China——A Case Study of Shuangcheng County in Heilongjiang Province
Bibliographic record
Abstract
A Fertilizer Decision Support System was developed based on the long term maize field experiments in Shuangcheng County located in black soil region,Northeast China.In the study,500 soil samples in the 0—20 cm layer were collected from the cornfield in all the Shuangcheng County and the support scheme of the system was established by the long-term experiment in the field and fertilization model.The geostatistics and Kriging methods were used in the study in order to analyze the spatial heterogeneity of soil nutrients and make the map of fertilization management unit.The Java Script Language was used to develop the Fertilizer Decision Support System on ArcGIS Servers.Using this system,agronomists and decision makers can obtain information on the spatial variability of soil fertility and make decision on strategic management on soil fertility.In addition,farmers can access the system to obtain their fertilizer recommendations easily.This research provides a useful tool to promote the application of agricultural information through WebGIS,to increase farmer's profit,and to improve sustainable agriculture and environment protection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".