YIELD POTENTIAL ESTIMATION (BASED ON GROWTH DATA)

Created by ChecklistGuro (https://checklistguro.com)

--- DATA COLLECTION & PREPARATION ---
[ ] Field ID
[ ] Data Collection Date
[ ] GPS Coordinates of Sampling Point
[ ] Plot Size (Area - e.g., hectares)
[ ] Crop Variety (Variety A, Variety B, Variety C, Other (Specify in Long Text))
[ ] Crop Variety Details (if 'Other' selected above)
[ ] Number of Replicates/Sampling Points
[ ] Field Map/Imagery (Optional)

--- GROWTH STAGE ASSESSMENT ---
[ ] Date of V1 (V1 emergence) observation
[ ] Date of R1 (Flowering) observation
[ ] Date of R5 (Pollination) observation
[ ] Days from Planting to V1
[ ] Days from V1 to R1
[ ] Number of nodes with visible flowers (R1 stage)
[ ] Observed crop uniformity (regarding development) (Uniform, Slightly Uneven, Uneven, Highly Uneven)
[ ] Notes/Comments on Growth Stage Assessment

--- VEGETATIVE GROWTH METRICS ---
[ ] Plant Height (cm)
[ ] Leaf Area Index (LAI)
[ ] Stem Diameter (mm)
[ ] Biomass (Dry Weight, g)
[ ] Leaf Color (Visual Assessment) (Dark Green, Medium Green, Pale Green, Yellowing, Other)
[ ] Number of Leaves per Plant
[ ] Notes on Vegetative Growth (e.g., unusual patterns, signs of stress)
[ ] Date of Measurement

--- REPRODUCTIVE GROWTH METRICS ---
[ ] Days to Flowering (DTF)
[ ] Number of Flower Clusters per Plant
[ ] Average Number of Flowers per Cluster
[ ] Percentage of Flower Retention (Estimated)
[ ] Average Fruit/Grain Size (Diameter/Length)
[ ] Percentage of Fruit/Grain Set (Estimated)
[ ] Stage of Fruit/Grain Development (e.g., BBCH Scale) (BBCH 1, BBCH 2, BBCH 3, BBCH 4, BBCH 5, BBCH 6, BBCH 7, BBCH 8)
[ ] Notes on Reproductive Health and Anomalies

--- ENVIRONMENTAL DATA INTEGRATION ---
[ ] Average Daily Temperature (Â°C)
[ ] Total Rainfall (mm)
[ ] First Frost Date (Expected)
[ ] Last Frost Date (Observed)
[ ] Average Soil Moisture (%)
[ ] Solar Radiation (MJ/mÂ²/day)
[ ] Dominant Wind Direction (North, South, East, West, North-East, North-West, South-East, South-West)
[ ] Notes on Unusual Weather Events (e.g., hail, drought)

--- MODEL SELECTION & CALIBRATION ---
[ ] Choose Yield Estimation Model (Regression-Based Model, Machine Learning Model (e.g., Random Forest), Process-Based Model, Historical Average & Trend Analysis)
[ ] Number of Historical Data Points Used for Calibration
[ ] Justification for Model Choice
[ ] Calibration Parameter 1 (e.g., Regression Coefficient)
[ ] Calibration Parameter 2 (e.g., Intercept)
[ ] Calibration Data File (if applicable)
[ ] Describe any data transformations performed
[ ] Error Metric Used for Calibration (Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), R-squared)

--- YIELD PREDICTION & ANALYSIS ---
[ ] Base Yield Estimate (Units/Area)
[ ] Adjustment Factor for Growth Data
[ ] Yield Prediction Model Used (Regression Model, Machine Learning Model, Phenological Model, Simple Calculation (e.g., based on stand count))
[ ] Estimated Yield (Units/Area)
[ ] Rationale for Yield Estimate
[ ] Confidence Level (%)
[ ] Yield Trend (Compared to Historical Data) (Above Average, Average, Below Average, Significantly Above Average, Significantly Below Average)
[ ] Notes/Comments on Yield Prediction

--- VALIDATION & REFINEMENT ---
[ ] Date of Harvest/Sampling for Comparison
[ ] Actual Yield (kg/hectare or equivalent)
[ ] Predicted Yield (kg/hectare or equivalent)
[ ] Yield Error (%) - ((Actual - Predicted) / Actual * 100)
[ ] Error Category (based on error %) (Excellent, Good, Acceptable, Poor, Unacceptable)
[ ] Notes on Discrepancies Between Predicted and Actual Yield
[ ] Possible Factors Contributing to Error (Weather Events, Pest/Disease Pressure, Soil Variability, Nutrient Deficiency, Water Stress, Model Limitations, Other (Specify in Long Text))
[ ] Specific Adjustments Needed to Model or Data Collection
[ ] Upload images/data supporting validation (optional)

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