Crop Analysis Messaging Decision Flowchart

This flowchart visualizes the enhanced decision logic for automated crop analysis messaging based on field uniformity, spatial patterns, CI change trends, and acceptable area thresholds.

Decision Flow

flowchart TD
    Start([Weekly CI Analysis Starts]) --> Extract[Extract CI values from satellite mosaics]
    Extract --> CalcStats[Calculate field statistics:<br/>- Mean CI<br/>- Coefficient of Variation CV<br/>- Acceptable area percent<br/>- Spatial autocorrelation Morans I]
    CalcStats --> CompareWeeks[Compare current week vs previous week]
    
    CompareWeeks --> CalcChange[Calculate CI Change:<br/>Current minus Previous]
    CalcChange --> CategorizeChange{Categorize CI Change}
    
    CategorizeChange -->|Change ≥ +0.5| Increase[CI Increase]
    CategorizeChange -->|-0.5 < Change < +0.5| Stable[CI Stable]
    CategorizeChange -->|Change ≤ -0.5| Decrease[CI Decrease]
    
    Increase --> CheckUniformity1{Enhanced Uniformity Check:<br/>CV and Acceptable Area}
    Stable --> CheckUniformity2{Enhanced Uniformity Check:<br/>CV and Acceptable Area}
    Decrease --> CheckUniformity3{Enhanced Uniformity Check:<br/>CV and Acceptable Area}
    
    %% Enhanced uniformity categorization
    CheckUniformity1 -->|CV > 0.25 OR<br/>Acceptable < 40| PoorUniformity1[POOR UNIFORMITY<br/>Urgent attention needed]
    CheckUniformity1 -->|CV ≤ 0.08 AND<br/>Acceptable ≥ 45| ExcellentUniformity1[EXCELLENT UNIFORMITY<br/>Optimal field condition]
    CheckUniformity1 -->|CV ≤ 0.15| GoodUniformity1[GOOD UNIFORMITY<br/>Check for clustering]
    CheckUniformity1 -->|0.15 < CV ≤ 0.25| ModerateVariation1[MODERATE VARIATION<br/>Needs investigation]
    
    CheckUniformity2 -->|CV > 0.25 OR<br/>Acceptable < 40| PoorUniformity2[POOR UNIFORMITY<br/>Urgent attention needed]
    CheckUniformity2 -->|CV ≤ 0.08 AND<br/>Acceptable ≥ 45| ExcellentUniformity2[EXCELLENT UNIFORMITY<br/>Optimal field condition]
    CheckUniformity2 -->|CV ≤ 0.15| GoodUniformity2[GOOD UNIFORMITY<br/>Check for clustering]
    CheckUniformity2 -->|0.15 < CV ≤ 0.25| ModerateVariation2[MODERATE VARIATION<br/>Needs investigation]
    
    CheckUniformity3 -->|CV > 0.25 OR<br/>Acceptable < 40| PoorUniformity3[POOR UNIFORMITY<br/>Urgent attention needed]
    CheckUniformity3 -->|CV ≤ 0.08 AND<br/>Acceptable ≥ 45| ExcellentUniformity3[EXCELLENT UNIFORMITY<br/>Optimal field condition]
    CheckUniformity3 -->|CV ≤ 0.15| GoodUniformity3[GOOD UNIFORMITY<br/>Check for clustering]
    CheckUniformity3 -->|0.15 < CV ≤ 0.25| ModerateVariation3[MODERATE VARIATION<br/>Needs investigation]
    
    %% Spatial analysis for good uniformity fields
    GoodUniformity1 --> SpatialCheck1{Morans I > 0.95?<br/>Very strong clustering}
    GoodUniformity2 --> SpatialCheck2{Morans I > 0.95?<br/>Very strong clustering}
    GoodUniformity3 --> SpatialCheck3{Morans I > 0.95?<br/>Very strong clustering}
    
    %% Clustering analysis for good uniformity
    SpatialCheck1 -->|Yes| HighClustering1[VERY HIGH CLUSTERING<br/>Potential growth zones]
    SpatialCheck1 -->|No| OptimalField1[EXCELLENT FIELD<br/>Uniform and well-distributed]
    
    SpatialCheck2 -->|Yes| HighClustering2[VERY HIGH CLUSTERING<br/>Potential growth zones]
    SpatialCheck2 -->|No| OptimalField2[EXCELLENT FIELD<br/>Uniform and well-distributed]
    
    SpatialCheck3 -->|Yes| HighClustering3[VERY HIGH CLUSTERING<br/>Potential growth zones]
    SpatialCheck3 -->|No| OptimalField3[EXCELLENT FIELD<br/>Uniform and well-distributed]
    
    %% Spatial pattern analysis for moderate variation fields
    ModerateVariation1 --> SpatialAnalysis1[Spatial Analysis:<br/>Morans I autocorrelation]
    ModerateVariation2 --> SpatialAnalysis2[Spatial Analysis:<br/>Morans I autocorrelation]
    ModerateVariation3 --> SpatialAnalysis3[Spatial Analysis:<br/>Morans I autocorrelation]
    
    SpatialAnalysis1 --> ClassifyVariation1{Spatial Pattern?}
    SpatialAnalysis2 --> ClassifyVariation2{Spatial Pattern?}
    SpatialAnalysis3 --> ClassifyVariation3{Spatial Pattern?}
    
    %% Localized vs distributed variation outcomes
    ClassifyVariation1 -->|Morans I > 0.95<br/>Very Clustered| LocalizedInc[Localized Growth Zones<br/>plus CI Increase]
    ClassifyVariation1 -->|Morans I ≤ 0.95<br/>Normal Random| DistributedInc[Field-wide Variation<br/>plus CI Increase]
    
    ClassifyVariation2 -->|Morans I > 0.95<br/>Very Clustered| LocalizedStable[Localized Growth Zones<br/>plus CI Stable]
    ClassifyVariation2 -->|Morans I ≤ 0.95<br/>Normal Random| DistributedStable[Field-wide Variation<br/>plus CI Stable]
    
    ClassifyVariation3 -->|Morans I > 0.95<br/>Very Clustered| LocalizedDec[Localized Problem Zones<br/>plus CI Decrease]
    ClassifyVariation3 -->|Morans I ≤ 0.95<br/>Normal Random| DistributedDec[Field-wide Variation<br/>plus CI Decrease]
    
    %% Excellent and good uniformity outcomes
    ExcellentUniformity1 --> NoAlert1[NO ALERT<br/>Excellent field condition]
    ExcellentUniformity2 --> NoAlert2[NO ALERT<br/>Excellent field condition]
    ExcellentUniformity3 --> NoAlert3[NO ALERT<br/>Excellent field condition]
    
    HighClustering1 --> Alert1[CLUSTERING NOTED<br/>Growth zones detected]
    HighClustering2 --> Alert2[CLUSTERING NOTED<br/>Growth zones detected]
    HighClustering3 --> Alert3[CLUSTERING NOTED<br/>Growth zones detected]
    
    OptimalField1 --> NoAlert1
    OptimalField2 --> NoAlert2
    OptimalField3 --> NoAlert3
    
    %% Poor uniformity outcomes
    PoorUniformity1 --> Alert4[URGENT ATTENTION<br/>Poor field uniformity]
    PoorUniformity2 --> Alert5[URGENT ATTENTION<br/>Poor field uniformity]
    PoorUniformity3 --> Alert6[URGENT ATTENTION<br/>Poor field uniformity]
    
    %% Enhanced message outcomes for moderate variation
    LocalizedInc --> Alert7[INVESTIGATION<br/>Growth zones plus CI increase]
    DistributedInc --> Alert8[INVESTIGATION<br/>Field-wide variation plus CI increase]
    
    LocalizedStable --> Alert9[SEND ALERT<br/>Problem zones detected - investigate]
    DistributedStable --> Alert10[SEND ALERT<br/>Field-wide unevenness - check practices]
    
    LocalizedDec --> Alert11[HIGH PRIORITY<br/>Declining zones - immediate action needed]
    DistributedDec --> Alert12[HIGH PRIORITY<br/>Field declining overall - review management]
    
    %% Final outcomes
    Alert1 --> SendMessage1[Send Clustering Note]
    Alert2 --> SendMessage2[Send Clustering Note]
    Alert3 --> SendMessage3[Send Clustering Note]
    Alert4 --> SendMessage4[Send Urgent Field Alert]
    Alert5 --> SendMessage5[Send Urgent Field Alert]
    Alert6 --> SendMessage6[Send Urgent Field Alert]
    Alert7 --> SendMessage7[Send Investigation Alert]
    Alert8 --> SendMessage8[Send Investigation Alert]
    Alert9 --> SendMessage9[Send Problem Zone Alert]
    Alert10 --> SendMessage10[Send Field Management Alert]
    Alert11 --> SendMessage11[Send Urgent Zone Alert]
    Alert12 --> SendMessage12[Send Urgent Management Alert]
    
    NoAlert1 --> NoAction[Log for monitoring only]
    NoAlert2 --> NoAction
    NoAlert3 --> NoAction
    
    SendMessage1 --> End([End: Message Generated])
    SendMessage2 --> End
    SendMessage3 --> End
    SendMessage4 --> End
    SendMessage5 --> End
    SendMessage6 --> End
    SendMessage7 --> End
    SendMessage8 --> End
    SendMessage9 --> End
    SendMessage10 --> End
    SendMessage11 --> End
    SendMessage12 --> End
    NoAction --> End2([End: No Action Required])

    %% Styling
    classDef alertBox fill:#ffcccc,stroke:#ff0000,stroke-width:2px
    classDef urgentBox fill:#ff9999,stroke:#cc0000,stroke-width:3px
    classDef clusterBox fill:#ffeaa7,stroke:#fdcb6e,stroke-width:2px
    classDef noAlertBox fill:#ccffcc,stroke:#00ff00,stroke-width:2px
    classDef decisionBox fill:#fff2cc,stroke:#d6b656,stroke-width:2px
    classDef processBox fill:#dae8fc,stroke:#6c8ebf,stroke-width:2px
    classDef spatialBox fill:#e1d5e7,stroke:#9673a6,stroke-width:2px
    classDef excellentBox fill:#a8e6cf,stroke:#558b2f,stroke-width:2px
    classDef poorBox fill:#ffcdd2,stroke:#d32f2f,stroke-width:3px
    
    class Alert9,Alert10,SendMessage9,SendMessage10 alertBox
    class Alert4,Alert5,Alert6,Alert11,Alert12,SendMessage4,SendMessage5,SendMessage6,SendMessage11,SendMessage12 urgentBox
    class Alert1,Alert2,Alert3,Alert7,Alert8,SendMessage1,SendMessage2,SendMessage3,SendMessage7,SendMessage8 clusterBox
    class NoAlert1,NoAlert2,NoAlert3,NoAction noAlertBox
    class CategorizeChange,CheckUniformity1,CheckUniformity2,CheckUniformity3,ClassifyVariation1,ClassifyVariation2,ClassifyVariation3,SpatialCheck1,SpatialCheck2,SpatialCheck3 decisionBox
    class Extract,CalcStats,CompareWeeks,CalcChange processBox
    class SpatialAnalysis1,SpatialAnalysis2,SpatialAnalysis3 spatialBox
    class ExcellentUniformity1,ExcellentUniformity2,ExcellentUniformity3,OptimalField1,OptimalField2,OptimalField3 excellentBox
    class PoorUniformity1,PoorUniformity2,PoorUniformity3 poorBox

Enhanced Decision Matrix with Spatial Analysis

Uniformity Category	CV Range	Acceptable Area %	Spatial Pattern	CI Change	Message	Alert Level
Excellent	≤ 0.08	≥ 45%	Normal (≤0.95)	Any	Excellent field condition	❌ None
Excellent	≤ 0.08	≥ 45%	High clustering (>0.95)	Any	Growth zones detected	🔶 Clustering Note
Good	≤ 0.15	≥ 45%	Normal (≤0.95)	Any	Good uniformity, well-distributed	❌ None
Good	≤ 0.15	≥ 45%	High clustering (>0.95)	Any	Potential growth zones	🔶 Clustering Note
Moderate	0.15-0.25	40-45%	Normal (≤0.95)	Increase	Field-wide variation + CI increase	🔶 Investigation
Moderate	0.15-0.25	40-45%	Normal (≤0.95)	Stable	Field-wide unevenness - check practices	🚨 Alert
Moderate	0.15-0.25	40-45%	Normal (≤0.95)	Decrease	Field declining overall - review management	🚨🚨 Urgent
Moderate	0.15-0.25	40-45%	High clustering (>0.95)	Increase	Growth zones + CI increase	🔶 Investigation
Moderate	0.15-0.25	40-45%	High clustering (>0.95)	Stable	Problem zones detected - investigate	🚨 Alert
Moderate	0.15-0.25	40-45%	High clustering (>0.95)	Decrease	Declining zones - immediate action needed	🚨🚨 Urgent
Poor	> 0.25	< 40%	Any	Any	Poor field uniformity - urgent attention	🚨🚨 Urgent

Spatial Analysis Methods

1. Moran's I Spatial Autocorrelation

Purpose: Determines if similar CI values cluster together spatially
Agricultural Context: High values (>0.95) indicate very strong clustering, which is noteworthy in agricultural fields where some clustering is natural
Threshold: > 0.95 for "very high clustering" (potential growth zones or problem areas)
Calculation: Compares each pixel's value to its spatial neighbors using queen contiguity

2. Simple Extreme Detection (Mean ± 1.5 × SD)

Purpose: Identifies pixels with values significantly above or below the field average
Method: Values outside mean ± 1.5 standard deviations are considered extremes
Agricultural Relevance: More interpretable than complex hotspot statistics
Output: Percentage of field area classified as extremes

3. Enhanced Messaging Logic

Excellent Uniformity (CV ≤ 0.08, Acceptable ≥ 45%):

✅ "Excellent field condition - optimal uniformity"
📊 "Continue current management practices"

Good Uniformity with High Clustering (CV ≤ 0.15, Moran's I > 0.95):

🔶 "Growth zones detected - potential for optimization"
📍 "Monitor clustered areas for development opportunities"

Moderate Variation Issues:

🔍 "Field shows moderate variation - investigate causes"
📈 "Consider zone-specific management approaches"

Poor Uniformity (CV > 0.25 or Acceptable < 40%):

🚨 "Urgent attention needed - poor field uniformity"
⚠️ "Immediate management intervention required"

Key Thresholds

CI Change Thresholds:
- Increase: ≥ +0.5
- Stable: -0.5 to +0.5
- Decrease: ≤ -0.5
Field Uniformity Thresholds:
- Excellent: CV ≤ 0.08 AND Acceptable ≥ 45%
- Good: CV ≤ 0.15 AND Acceptable ≥ 45%
- Moderate: 0.15 < CV ≤ 0.25 OR 40% ≤ Acceptable < 45%
- Poor: CV > 0.25 OR Acceptable < 40%
Spatial Clustering Threshold:
- Very High Clustering: Moran's I > 0.95
- Normal/Random: Moran's I ≤ 0.95
Extreme Values Threshold:
- Extremes: Values outside mean ± 1.5 × standard deviation
- Acceptable area: Percentage of field within normal range

Enhanced Alert Logic

🚨🚨 URGENT ALERTS (High Priority):

✅ Poor field uniformity (CV > 0.25 or Acceptable < 40%)
✅ Moderate variation with declining CI (zone-specific or field-wide)

🔶 CLUSTERING NOTES:

✅ Good/excellent uniformity with very high clustering (Moran's I > 0.95)
✅ Moderate variation with increasing CI and clustering

🚨 STANDARD ALERTS:

✅ Moderate variation with stable CI (investigate practices)

❌ NO ALERTS:

❌ Excellent uniformity with normal clustering
❌ Good uniformity with normal clustering

Actionable Insights

For Excellent/Good Uniformity:

✅ Continue current management practices
📊 Monitor for clustering patterns
🎯 Optimize growth zones if detected

For Moderate Variation:

🔍 Investigate specific zones or field-wide issues
📈 Consider zone-specific management
🌾 Review irrigation, fertilization, or pest management

For Poor Uniformity:

🚨 Immediate management intervention required
🎯 Focus on most problematic areas first
📊 Comprehensive field assessment needed

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