What the Data for This Category Looks Like
Sources of crop farming financial and monitoring data include public statistical materials from national and local agricultural and rural authorities, regular financial reports released by listed crop farming entities, and public data from agricultural meteorological monitoring agencies. Update frequencies fall into three categories:
- Monthly crop growth and planting area monitoring data is updated each month.
- Quarterly crop yield forecasts are released every quarter.
- Annual official statistical reports and corporate financial reports are disclosed before April of the following year.
Most documents use structured tables as their primary format, with fields including crop type, planting area, yield per unit, total output, and planting cost. Units include mu, hectare, kg/mu, yuan/mu, and others. Some cross-regional data includes administrative division and statistical cycle information.
Constraints on Citation Source and Traceability
Field naming varies across multiple data sources. For example, some sources use "total output" instead of "total yield". Field mapping rules must be established to accurately associate traceability information. Update cycles differ significantly across data sources. Monthly data is more time-sensitive than annual reports. Data publishing entities and release times must be marked during traceability to avoid confusing old and new data. Structured tables account for a large share of documents. The row, column, and cell range corresponding to single data entries must be accurately located. Otherwise, traceability of detailed crop data cannot be achieved. Unit systems are diverse. Original unit information must be retained and conversion logic associated, to avoid data interpretation errors caused by lost unit context during traceability.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 15-20 entries | Crop farming financial reports include detailed data for multiple crops. A sufficient number of recalled entries is needed to cover analysis requirements for different crops and avoid missing critical data |
Chunk size | 800-1200 characters | Crop farming financial reports mostly consist of structured tables. Segments must cover complete crop data rows and headers, to avoid splitting that breaks table logic |
Similarity threshold | 0.82-0.88 | Crop field naming varies across different data sources. A reasonable threshold must be set to identify synonymous fields and avoid matching errors |
Table Parsing Switch | Enabled | Crop farming financial reports take structured tables as their primary document format. Enabling this allows accurate extraction of cell-level data and improves traceability accuracy |
Source Retention Mode | Retain original data source and release time | Crop farming data has strong time sensitivity. Clear labeling of data publishing entities and update times is required to meet traceability requirements for authority and timeliness |
Rerank result count | Top 8-10 entries | Crop farming analysis requires prioritizing recalled authoritative data sources. Rearranging can filter low-correlation entries and optimize traceability efficiency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: An error "Failed to load data source" is returned in the interface when attempting to reference crop farming monitoring data returned via an HTTP interface. Cause: The access whitelist for the HTTP data source has not been configured, or the parsing template for HTTP content has not been added to the knowledge base, resulting in failure to properly pull and associate traceability information.
- Phenomenon: Recalled traceability entries only include document-level information, and cannot locate cell data for specific crops. Cause: The table parsing function has not been enabled. Only overall document text is extracted, and detailed fields and entries within structured tables are not identified.
- Phenomenon: The data source release time referenced in the generated analysis report does not match the actual data update time. Cause: The configuration for extracting data source release time has not been enabled. Only the document upload time is used as the traceability time, which does not reflect the true update rhythm of the original data.
How to Verify Proper Configuration
- Upload a public crop farming monthly statistical report, trigger knowledge base parsing, and check the parsed document structure to confirm that row, column, and cell data within tables are fully extracted.
- Initiate a crop farming financial report analysis request, check the traceability panel in the returned results to confirm that each referenced data entry is marked with the original data source, release time, and specific field location.
- Adjust the setting value for
Recall count, initiate multiple test requests, and confirm that the number of recalled entries matches the set value and covers detailed data for different crops. - Test referencing crop farming data returned via an HTTP interface, confirm that the interface content is properly pulled and displayed in traceability information, with no error prompts.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.