What the Data for This Category Looks Like
Core data for agrochemicals comes primarily from the Ministry of Agriculture and Rural Affairs Pesticide Registration Management Platform, agricultural input dealer inventory and sales systems, and field trial report databases. Update rhythms vary by data type: Pesticide registration information is updated quarterly via synchronized filings. Field trial data updates alongside project cycles. Terminal inventory and sales data syncs daily. Document structures are mostly structured tables or collections of structured fields, including fields such as product common name, active ingredient content, registered crops, target pests, standard application dosage, formulation, and shelf life. Active ingredient content units are mostly g/L or mass percentage, while application dosage units are mostly mL/mu or g/mu.
Constraints for Workflow Orchestration
Agrochemical data is multi-source, heterogeneous, and field units follow industry-specific standards, creating multiple constraints for workflow orchestration. Cross-source data alignment requires preset field mapping rules to match standard fields from registration platforms with custom fields from inventory and sales systems. Data sources with different update frequencies must be bound to corresponding trigger nodes: set scheduled triggers for daily-synced inventory and sales data, and perform periodic syncs for quarterly-updated filing information. Differentiated field units require adding unit conversion nodes in the workflow to unify measurement expressions such as mu dosage and hectare dosage. Marketing content must comply with agricultural advertising compliance requirements, so the workflow must embed compliance verification links to filter prohibited promotional terms.
Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
text2sql_table_whitelist | ["pesticide_registry", "agricultural_input_sales"] | Restrict text2sql access scope to only business data tables related to agrochemicals to avoid unauthorized queries |
workflow_trigger_cron | "0 0 2 * * *" | Align with the daily sync rhythm of inventory and sales data. Triggering at 2:00 AM daily ensures access to the latest terminal sales and inventory data |
unit_conversion_factor | 15 | Match the standard conversion factor between mu and hectare in agricultural production to unify measurement expressions across different data sources |
ai_session_temperature | 0 | Ensure generated marketing content is professional and rigorous, and meets advertising specifications and information accuracy requirements for the agrochemical industry |
workflow_export_include_plugins | true | Ensure exported workflow configurations include associated plugin information to prevent plugin missing errors during import to other environments |
response_strip_prefix_newline | true | Remove leading newline characters from AI reply content to optimize the display format of marketing content |
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 Mistakes
- Issue: Empty results or permission errors are returned when using the text2sql node to generate SQL. Cause: Exclusive agrochemical data tables are not added to the
text2sql_table_whitelistconfiguration item, limiting the node’s access scope. - Issue: An error indicating missing plugins appears when importing the exported workflow and associated JSON files to another environment. Cause: The
workflow_export_include_pluginsoption was not enabled during export, so associated plugin configuration information was not included. - Issue: Leading newline characters are present in marketing content generated by the AI session node. Cause: The
response_strip_prefix_newlineconfiguration item was not enabled, so automatic removal of default leading newlines was not performed.
How to Verify Successful Configuration
- Manually trigger the workflow once, check if the text2sql node can generate SQL statements that conform to agrochemical business logic normally, and verify that returned fields and units are unified.
- Export the JSON configuration file of the current workflow, check if it includes associated plugin configuration items, then import it to a test environment to confirm plugins load normally.
- Trigger the AI session node to generate marketing content, check for excess leading newline characters in the returned result, and confirm the format meets display requirements.
- Adjust the
ai_session_temperatureparameter to 0 and enable the temperature switch set to 0, compare the marketing content generated twice, and confirm no difference in expression rigor.
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.