What This Category of Data Looks Like
Data related to crop farming yield and revenue comes from three main sources: fixed-point monitoring stations of agricultural technology extension stations, planting records from farmer cooperatives, and regional agricultural product purchase quotation platforms. Data updates align with planting cycles, released on a monthly or quarterly basis. No real-time market data is included. The primary format for documentation is structured tables, with fields including unique plot identifier, crop type, planting area, various input costs, total yield, average purchase price, and more. Units correspond to mu, yuan, kilogram, and yuan per kilogram respectively; no percentage-based statistical indicators are used.
What Constraints Do These Characteristics Impose on the Form and Interaction Workflow
The multi-source, categorized nature of crop farming data creates clear constraints for form and interaction workflows. Different crop types have significantly different cost structures and yield metrics. Forms must support dynamically loading corresponding fields based on crop type, to avoid redundant items. Data updates occur infrequently, so high-frequency submissions are not needed. A quarterly scheduled submission logic can be supported. Multi-source data requirements mean forms must support both manual single-entry and batch import of record files. Unified unit conversion rules must be implemented to prevent data errors from unit mismatches. Additionally, some data must be pulled from external monitoring platforms, so automatic synchronization logic must be configured to reduce manual data entry workload.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
form_field_dynamic_load | Enabled by crop type | Different crop types correspond to different cost and yield fields. Dynamic loading reduces form redundancy and improves entry efficiency |
batch_import_max_rows | 200 rows | Crop farming record data has a moderate volume. Importing 200 rows per batch balances import efficiency and server load |
unit_conversion_enable | Enabled | Unified unit conversion for mu and hectare, kilogram and ton is required to prevent unit mismatch errors during data entry |
form_submit_cron | 0 0 10 1-12/3 * ? | Triggers submissions on a quarterly basis, aligning with the monthly/quarterly monitoring update cycle for crop farming |
external_data_sync_interval | 7 days | Agricultural monitoring data is updated monthly. A 7-day synchronization interval covers the latest reported monitoring data |
field_required_rule | Configured by field group | Cost and yield groups are required fields, while auxiliary fields are optional, which matches the actual logic of crop farming data collection |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: When using tools related to crop farming data, only a small number of built-in models can be selected. Cause: The optional range of
allowed_model_listis not configured, or the number of callable models is limited, failing to cover all available models. - Symptom: A
400 Bad Requesterror is returned after form submission, with some cost fields left empty. Cause: Fields are not dynamically loaded based on crop type. Submitting undefined fields triggers parameter verification failures. - Symptom: The form cannot automatically reset after submission. Manual clearing of historical input content is required to start a new data collection round. Cause: The
form_auto_resetparameter is not configured, or it is set to disabled, so historical input content is retained after each submission.
How to Confirm Proper Configuration
- Access the form configuration page, select different crop types, and confirm that form fields automatically switch to the collection items for the selected crop type.
- Upload a test crop farming record file with 200 rows of data, and confirm all rows import successfully with no format errors.
- Review external data synchronization logs, and confirm the latest agricultural monitoring data is automatically pulled every 7 days, with no synchronization failure records.
- After form submission, check that the form automatically resets to a blank state, enabling a new round of data collection.
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.