Precision Agriculture Checklist: Data Analysis & Yield Optimization Plan

Maximize your farm's potential! This Precision Agriculture Checklist guides you through data analysis, ensuring accurate insights & a tailored yield optimization plan for healthier crops & increased profitability. Perfect for modern farmers embracing data-driven techniques.

This Template was installed 1 times.

Data Acquisition & Sensor Calibration

1 of 10

Verify proper functionality and calibration of all data-gathering sensors (soil moisture, weather stations, yield monitors).

Soil Moisture Sensor Reading (Avg.)

Weather Station Temperature (°C)

Yield Monitor Calibration Factor

Last Sensor Calibration Date

Sensor Power Source (Battery/Solar)

GPS Accuracy (m)

Sensor Calibration Certificates (if applicable)

Data Upload & Storage

2 of 10

Confirm seamless data transfer from field devices to cloud platform and ensure secure data storage.

Last Data Upload Date

Last Data Upload Time

File Size (MB)

Data Source

Storage Location

Raw Data File (optional)

Number of Records Uploaded

Data Cleaning & Processing

3 of 10

Validate data integrity by identifying and addressing outliers, missing values, and inconsistencies.

Identify and record number of missing data points per field.

Record number of outlier values detected in soil moisture data.

Select method used for outlier handling (e.g., removal, replacement, capping).

Describe any data imputation techniques applied and justify their use.

Select units for all data fields to ensure consistency.

Date of Data Cleaning Completion

Spatial Data Analysis (Yield Maps & Zoning)

4 of 10

Analyze yield data to identify high and low-performing zones for targeted interventions.

Yield Map File (e.g., shapefile, raster)

Yield Map Resolution (pixels/hectare)

Yield Units (Select one)

Threshold for Low-Yield Zone (e.g., % below average)

Threshold for High-Yield Zone (e.g., % above average)

Notes on observed spatial patterns in yield data

Zoning Method Used (Select one)

Variable Rate Application Planning

5 of 10

Develop variable rate application maps for fertilizer, pesticides, and irrigation based on data insights.

Target Yield (bushels/acre)

Fertilizer Type (Nitrogen)

Application Rate (lbs/acre) - Zone 1

Application Rate (lbs/acre) - Zone 2

Application Rate (lbs/acre) - Zone 3

Application Timing (Select all that apply)

Planned Application Date

Notes/Justification for Variable Rate

Upload VR Application Map (Shapefile/GeoTIFF)

Equipment Calibration for Variable Rate Technology

6 of 10

Ensure accurate application rates through regular equipment calibration and nozzle checks.

Nozzle Flow Rate (L/min)

Application Rate (L/ha)

Ground Speed (km/h)

Distance Between Nozzles (cm)

Calibration Method Used

Calibration Date

Calibration Time

Calibration Log/Photos

Precision Irrigation Scheduling

7 of 10

Optimize irrigation timing and water application based on soil moisture data and crop water requirements.

Current Soil Moisture (inches)

Target Soil Moisture (inches)

Irrigation Run Time (minutes)

Application Rate (inches/hour)

Date of Last Irrigation

Scheduled Irrigation Start Time

Irrigation Zone

Irrigation Method

Nutrient Management Recommendations

8 of 10

Generate customized fertilizer recommendations based on soil tests and yield data to maximize nutrient use efficiency.

Target Yield (Bushels/Acre)

Soil Test Date

Nitrogen Recommendation (lbs/acre)

Phosphorus Recommendation (lbs/acre)

Potassium Recommendation (lbs/acre)

Micronutrient Deficiencies Detected?

Notes/Justification for Recommendations

Pest & Disease Scouting & Monitoring

9 of 10

Implement pest and disease monitoring protocols and utilize data for targeted scouting and preventative measures.

Scouting Date

Observed Pests

Observed Diseases

Average Pest Count per Plant (if applicable)

Detailed Scouting Notes

Severity Level

Scouting Location (GPS Coordinates)

Photo Evidence (Optional)

Performance Evaluation & Reporting

10 of 10

Track the effectiveness of precision agriculture strategies through yield monitoring and data analysis for continuous improvement.

Overall Yield Improvement (%)

Fertilizer Use Efficiency (%)

Water Use Efficiency (%)

Pesticide Application Rate Reduction (%)

Summary of Key Performance Findings

Date of Performance Evaluation

Overall Strategy Success (Subjective)

Yield Map Comparison (Previous vs. Current)

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