PRECISION AGRICULTURE TECHNOLOGY ADOPTION

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--- ASSESSMENT & PLANNING ---
[ ] Farm Size (Acres/Hectares)
[ ] Current Farming Practices & Challenges
[ ] Primary Crops Grown (Corn, Soybeans, Wheat, Fruits, Vegetables, Other)
[ ] Areas of Focus (e.g., Yield Optimization, Water Management, Input Efficiency) (Yield Optimization, Water Management, Nutrient Management, Pest & Disease Control, Soil Health, Labor Efficiency)
[ ] Target Date for Initial Technology Adoption
[ ] Desired Level of Automation
[ ] Existing Data Sources (e.g., Soil Tests, Yield Maps)
[ ] Current Connectivity (Internet Access) (Excellent, Good, Limited, None)

--- DATA ACQUISITION & MANAGEMENT ---
[ ] Existing Data Management System? (No System, Spreadsheet (Excel, Google Sheets), Farm Management Software (e.g., Agworld, Climate FieldView), Custom Database)
[ ] Number of Fields to be Managed
[ ] Data Sources Currently Utilized (Select all that apply) (Soil Tests, Weather Stations, Yield Monitors, Satellite Imagery, Drone Imagery, Manual Record Keeping)
[ ] Date of Last Soil Test
[ ] Describe Current Data Collection Methods
[ ] Upload Existing Field Maps (Shapefiles, KML, etc.)
[ ] Preferred Data Storage Location? (On-Farm Server, Cloud Storage (e.g., Google Drive, AWS), Third-Party Platform)
[ ] Estimated Data Volume per Field (GB)

--- TECHNOLOGY SELECTION & PROCUREMENT ---
[ ] What type of sensor is most needed? (Soil Moisture, Yield Monitoring, Plant Health (NDVI), Weather Station, Other)
[ ] Estimated Farm Size (Acres/Hectares)
[ ] Preferred Data Transmission Method? (Cellular, WiFi, Satellite, LoRaWAN)
[ ] Budget Allocation for Technology (USD/Local Currency)
[ ] Which data platforms are preferred for analysis? (Farm Management Software (e.g., Climate FieldView), GIS Software (e.g., ArcGIS), Spreadsheet Software (e.g., Excel), Custom Software)
[ ] Supplier Reputation: How important is it? (Very Important, Important, Neutral, Not Important)
[ ] Specific Features Required in the Technology

--- IMPLEMENTATION & INTEGRATION ---
[ ] Number of sensors installed (e.g., soil moisture, weather)
[ ] Integration with Existing Farm Management Software (FMS) (Yes, fully integrated, Yes, partially integrated, No integration)
[ ] Which communication protocols were used for data transfer? (LoRaWAN, WiFi, Cellular (4G/5G), Satellite, Bluetooth, Other (specify in LONG_TEXT))
[ ] Describe any challenges encountered during initial setup.
[ ] Date of initial technology implementation.
[ ] Was professional installation required? (Yes, No)
[ ] Describe the integration of new technology with existing equipment (e.g., tractors, sprayers).

--- TRAINING & SKILL DEVELOPMENT ---
[ ] Select Training Modules Completed (Drone Operation & Data Acquisition, GIS Software & Data Visualization, Variable Rate Application (VRA) Calibration, Yield Monitoring System Operation, Sensor Technology & Maintenance, Data Analytics & Interpretation)
[ ] Describe your experience with GPS technology.
[ ] Estimated hours of training received (total)
[ ] Which software platforms are you familiar with? (ArcGIS, QGIS, Farm Works, Climate FieldView, John Deere Operations Center, Other (Specify in Long Text))
[ ] What specific challenges did you face during training, and how were they addressed?
[ ] Date of last precision agriculture skills refresher training
[ ] Level of Confidence in operating selected technology (1-5, 5 being highest) (1 - Low, 2 - Somewhat Low, 3 - Moderate, 4 - High, 5 - Very High)

--- DATA ANALYSIS & INTERPRETATION ---
[ ] Yield Variation Coefficient
[ ] Plant Density Deviation (from target)
[ ] Describe observed patterns in NDVI data.
[ ] What is the primary data analysis method used? (Visual Inspection, Statistical Modeling, Machine Learning, Simple Averages/Comparisons)
[ ] Which data layers were used for analysis? (NDVI, NDRE, Soil Moisture, Elevation, Yield Maps)
[ ] Summarize key insights derived from data analysis.
[ ] Correlation Coefficient (between variable X and Y)

--- PERFORMANCE MONITORING & ADJUSTMENT ---
[ ] Yield Increase (compared to baseline)
[ ] Fertilizer Usage Reduction (%)
[ ] Water Usage Reduction (%)
[ ] Overall Technology Satisfaction (Scale of 1-5) (1 - Very Dissatisfied, 2 - Dissatisfied, 3 - Neutral, 4 - Satisfied, 5 - Very Satisfied)
[ ] Describe any unexpected outcomes (positive or negative)
[ ] Date of last performance review
[ ] Areas needing improvement (select all that apply) (Data Accuracy, Ease of Use, Integration with Existing Systems, Cost-Effectiveness, Technical Support, Reporting Capabilities)
[ ] Specific adjustments made based on performance data

--- FINANCIAL CONSIDERATIONS & ROI ---
[ ] Initial Technology Investment Cost ($)
[ ] Annual Operating & Maintenance Costs ($)
[ ] Projected Increase in Yield (%)
[ ] Expected Increase in Input Efficiency (%)
[ ] Projected Reduction in Labor Costs ($/hour)
[ ] Funding Source (e.g., Loan, Grant, Self-Funded) (Loan, Grant, Self-Funded, Other)
[ ] Expected Payback Period (Date)
[ ] Assumptions Used in ROI Calculation (Explain reasoning)

--- MAINTENANCE & SUPPORT ---
[ ] Scheduled Sensor Calibration Frequency (Months)
[ ] Last Preventative Maintenance Date (Equipment: e.g., Drone, Variable Rate Applicator)
[ ] Primary Contact for Technology Support (Name & Title)
[ ] Support Contract Type (Basic, Standard, Premium, No Contract)
[ ] Average Response Time for Support Requests (Hours)
[ ] Notes on Recent Maintenance or Support Issues
[ ] Software Version Currently in Use
[ ] Upload of Maintenance Records/Logs (optional)

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