What the data for this category looks like
Data for crop farming intelligent due diligence reports comes from four main channels: public agricultural weather station monitoring data, satellite remote sensing normalized difference vegetation index (NDVI) analysis results, planting record ledgers from local agricultural and rural affairs departments, and third-party agricultural condition plot monitoring services. Basic planting record data updates quarterly. Meteorological and remote sensing data syncs every 6 hours. Pest and disease warning data is pushed in real time. A single due diligence report’s data document includes fields such as unique plot identifier, crop variety name, planting area (unit: mu), current growth stage, soil moisture level, pest and disease occurrence degree, estimated yield per unit area (unit: kg/mu). Some batches of data include 7-day temperature and humidity monitoring records for the corresponding plot.
Constraints Imposed on HTTP Interfaces and External Systems by These Characteristics
The multi-source, multi-frequency update characteristics of crop farming due diligence data require HTTP interfaces to support precise filtering and retrieval by time range and plot identifier. Interfaces must also adapt to pagination mechanisms for batch data retrieval. Non-standardized enumeration fields from different data sources, such as soil moisture level and pest and disease occurrence degree, require the interface to have built-in unified field mapping rules. This prevents inconsistent field names in returned results. Fields with fixed units, such as planting area and estimated yield per unit area, need unit verification and standardization completed at the interface layer. This ensures unified output formats. Real-time pest and disease warning data must use the webhook callback mode to meet real-time requirements. Polling retrieval delays cannot accommodate this scenario.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
external_api_timeout | 300 seconds | Response times for crop farming remote sensing analysis and agricultural condition monitoring interfaces fall mostly within the 1-5 minute range. 300 seconds covers most normal request scenarios |
pull_frequency | Once every 6 hours | Official update cycles for public agricultural meteorological and satellite remote sensing data are 6 hours. This matches the data source update rhythm |
field_mapping_strategy | Force alignment to standard field names | Non-standardized enumeration fields exist in crop farming data sources. Force alignment unifies field formats for downstream processing |
unit_verify_enabled | Enabled | Crop farming data includes fields with fixed units such as planting area and yield per unit area. Enabling verification filters invalid data with non-matching units |
webhook_callback_url | Configure a dedicated HTTPS encrypted callback domain | Real-time pest and disease warning data requires secure transmission. HTTPS prevents data tampering and leakage |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: The interface returns duplicate plot data. A
200 OKstatus code is returned, but multiple identicalunique plot identifierentries appear in the results. Cause: Pagination parameters are not configured, causing the interface to repeatedly retrieve the same batch of data. - Phenomenon: The
soil moisture levelfield appears empty in due diligence reports. The log shows a400 Bad Requesterror. Cause: Field integrity verification is not enabled, and invalid requests are rejected by the data source interface. - Phenomenon: Interface requests time out, with a
504 Gateway Timeoutstatus code. Cause:external_api_timeoutis set to an overly short duration, shorter than the average response time of crop farming remote sensing analysis interfaces, causing requests to be interrupted before completion.
How to Verify the Configuration Is Complete
- Call the configured external interface to retrieve historical data for a specified plot, and check whether the returned fields match the preset standard field list.
- Simulate a webhook callback, and check whether the callback address can normally receive and parse real-time warning data.
- View interface request logs to confirm that the retrieval frequency matches the official update cycle of the data source, with no frequent duplicate requests.
- Submit test data containing non-standardized fields, and check whether the system automatically completes field mapping and unit verification.
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.