ChecklistGuro Crop Yield Monitoring and Analysis Workflow
Maximize your harvest potential with our Crop Yield Monitoring and Analysis Workflow. Streamline field productivity by tracking growth patterns, analyzing historical yield data, and identifying underperforming zones in real-time. This automated farm management process integrates precision agriculture insights to optimize resource allocation, mitigate risks, and drive data-driven decisions for more sustainable and profitable crop production.
Start
Start of the Workflow/Process.
1. Retrieve Field Sensor Data
Fetch the latest soil moisture, temperature, and humidity readings from the Sensor Data Model.
2. Fetch Historical Yield Records
Retrieve previous season's yield data for the specific field plots being analyzed.
3. Calculate Average Soil Moisture
Calculate the average moisture level from all retrieved sensor entries to determine drought risk.
4. Compute Yield Gap Index
Calculate the difference between the current predicted yield and the historical average yield.
5. Create Analysis Report Entry
Create a new record in the Yield Analysis Model containing the calculated metrics and findings.
6. Assign Agronomist Review
Create a task for the assigned Agronomist to manually verify the automated findings.
7. Retrieve Agronomist Feedback
Fetch the notes and verification status entered by the Agronomist in their task completion.
8. Determine Risk Level
Use a formula to categorize risk (Low, Medium, High) based on moisture and yield gap values.
9. Update Field Health Status
Update the 'Status' property in the Field Data Model based on the calculated Risk Level.
10. Generate Remediation Task
If risk is High, create a task for the Farm Manager to implement irrigation or fertilization.
11. Generate Seasonal Yield Report
Compile all processed analysis entries into a comprehensive seasonal performance report.
12. Notify Stakeholders
Send an email summary of the yield analysis and risk alerts to the Farm Owners.
13. Urgent Alert SMS
Send an SMS notification to the Field Supervisor if moisture levels drop below a critical threshold.
14. Cleanup Temporary Calculations
Delete temporary calculation logs once the final Analysis Report has been successfully created.
End
End of the Workflow/Process.
Start of the Workflow/Process.
Fetch the latest soil moisture, temperature, and humidity readings from the Sensor Data Model.
Retrieve previous season's yield data for the specific field plots being analyzed.
Calculate the average moisture level from all retrieved sensor entries to determine drought risk.
Calculate the difference between the current predicted yield and the historical average yield.
Create a new record in the Yield Analysis Model containing the calculated metrics and findings.
Create a task for the assigned Agronomist to manually verify the automated findings.
Fetch the notes and verification status entered by the Agronomist in their task completion.
Use a formula to categorize risk (Low, Medium, High) based on moisture and yield gap values.
Update the 'Status' property in the Field Data Model based on the calculated Risk Level.
If risk is High, create a task for the Farm Manager to implement irrigation or fertilization.
Compile all processed analysis entries into a comprehensive seasonal performance report.
Send an email summary of the yield analysis and risk alerts to the Farm Owners.
Send an SMS notification to the Field Supervisor if moisture levels drop below a critical threshold.
Delete temporary calculation logs once the final Analysis Report has been successfully created.
End of the Workflow/Process.
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