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// 农业视觉高级(v59.0.0)
// 作物识别、病虫害检测、产量预测、土壤分析、杂草识别、精准农业

///|
/// 农业视觉任务类型
pub(all) enum AgricultureVisionTaskType {
  CropIdentification
  PestDetection
  DiseaseDetection
  YieldPrediction
  SoilAnalysis
  WeedDetection
  GrowthMonitoring
  Unknown
} derive(Eq)

///|
/// 作物类型
pub(all) enum CropType {
  Wheat
  Rice
  Corn
  Soybean
  Cotton
  Tomato
  Potato
  Apple
  Grape
  Unknown
} derive(Eq)

///|
/// 病害类型
pub(all) enum DiseaseType {
  Rust
  Blight
  Mildew
  Rot
  Wilt
  Mosaic
  Spot
  Canker
  Healthy
  Unknown
} derive(Eq)

///|
/// 虫害类型
pub(all) enum PestType {
  Aphid
  Caterpillar
  Beetle
  Mite
  Fly
  Bug
  Worm
  Healthy
  Unknown
} derive(Eq)

///|
/// 土壤类型
pub(all) enum SoilType {
  Sandy
  Clay
  Silt
  Loam
  Peat
  Chalky
  Unknown
} derive(Eq)

///|
/// 作物检测结果
pub(all) struct CropDetectionResult {
  crop_id : Int
  crop_type : CropType
  bounding_box : Array[Int]
  confidence : Double
  growth_stage : String
  health_status : String
  height_cm : Double
  leaf_count : Int
  canopy_coverage : Double
}

///|
/// 病害检测结果
pub(all) struct DiseaseDetectionResult {
  disease_id : Int
  disease_type : DiseaseType
  severity : Double
  confidence : Double
  bounding_box : Array[Int]
  affected_area_ratio : Double
  spread_direction : String
  recommendation : String
  is_critical : Bool
}

///|
/// 虫害检测结果
pub(all) struct PestDetectionResult {
  pest_id : Int
  pest_type : PestType
  count : Int
  confidence : Double
  bounding_box : Array[Int]
  infestation_level : Double
  damage_severity : Double
  recommendation : String
  is_critical : Bool
}

///|
/// 产量预测结果
pub(all) struct YieldPredictionResult {
  crop_type : CropType
  predicted_yield : Double
  yield_unit : String
  confidence : Double
  current_growth_stage : String
  expected_harvest_date : String
  factors_analysis : Array[String]
  num_factors : Int
  historical_comparison : Double
}

///|
/// 土壤分析结果
pub(all) struct SoilAnalysisResult {
  soil_type : SoilType
  ph : Double
  nitrogen : Double
  phosphorus : Double
  potassium : Double
  organic_matter : Double
  moisture : Double
  temperature : Double
  fertility_score : Double
  recommendation : String
}

///|
/// 杂草检测结果
pub(all) struct WeedDetectionResult {
  weed_id : Int
  weed_type : String
  bounding_box : Array[Int]
  confidence : Double
  density : Double
  coverage_ratio : Double
  competition_level : Double
  recommendation : String
  is_critical : Bool
}

///|
/// 生长监测结果
pub(all) struct GrowthMonitoringResult {
  crop_type : CropType
  current_height : Double
  height_growth_rate : Double
  canopy_coverage : Double
  canopy_growth_rate : Double
  leaf_area_index : Double
  biomass_estimate : Double
  health_index : Double
  stress_level : Double
  growth_stage : String
  days_to_harvest : Int
}

///|
/// 农业视觉配置
pub(all) struct AgricultureVisionConfig {
  task_type : AgricultureVisionTaskType
  crop_type : CropType
  detection_threshold : Double
  disease_severity_threshold : Double
  pest_infestation_threshold : Double
  soil_ph_optimal_min : Double
  soil_ph_optimal_max : Double
  use_multispectral : Bool
  use_thermal : Bool
  use_ndvi : Bool
  drone_altitude : Double
  camera_resolution : Array[Int]
  gps_accuracy : Double
  auto_recommendation : Bool
  irrigation_control : Bool
  fertilization_control : Bool
}

///|
/// 创建默认农业视觉配置
pub fn create_default_agriculture_config() -> AgricultureVisionConfig {
  AgricultureVisionConfig::{
    task_type: AgricultureVisionTaskType::DiseaseDetection,
    crop_type: CropType::Wheat,
    detection_threshold: 0.5,
    disease_severity_threshold: 0.3,
    pest_infestation_threshold: 0.2,
    soil_ph_optimal_min: 6.0,
    soil_ph_optimal_max: 7.5,
    use_multispectral: true,
    use_thermal: false,
    use_ndvi: true,
    drone_altitude: 50.0,
    camera_resolution: [4000, 3000],
    gps_accuracy: 0.1,
    auto_recommendation: true,
    irrigation_control: false,
    fertilization_control: false,
  }
}

///|
/// 检测作物(简化版)
pub fn detect_crops(
  image : Array[Double],
  width : Int,
  height : Int,
  config : AgricultureVisionConfig,
) -> Array[CropDetectionResult] {
  ignore(image)
  let crops : Array[CropDetectionResult] = []

  let mut state = 42
  let num_crops = 10

  for i in 0..<num_crops {
    state = (state * 11035 + 12345) % 1000000
    let x = state % (width - 200)
    state = (state * 11035 + 12345) % 1000000
    let y = state % (height - 200)
    state = (state * 11035 + 12345) % 1000000
    let w = state % 100 + 100
    state = (state * 11035 + 12345) % 1000000
    let h = state % 100 + 100
    state = (state * 11035 + 12345) % 1000000
    let confidence = (state % 1000).to_double() / 1000.0 * 0.3 + 0.7

    let bbox : Array[Int] = []
    bbox.push(x)
    bbox.push(y)
    bbox.push(x + w)
    bbox.push(y + h)

    let crop = CropDetectionResult::{
      crop_id: i,
      crop_type: config.crop_type,
      bounding_box: bbox,
      confidence,
      growth_stage: "vegetative",
      health_status: "healthy",
      height_cm: 50.0,
      leaf_count: 8,
      canopy_coverage: 0.6,
    }
    crops.push(crop)
  }

  crops
}

///|
/// 检测病害(简化版)
pub fn detect_diseases(
  image : Array[Double],
  width : Int,
  height : Int,
  config : AgricultureVisionConfig,
) -> Array[DiseaseDetectionResult] {
  ignore(image)
  let diseases : Array[DiseaseDetectionResult] = []

  let disease_types = [
    DiseaseType::Rust,
    DiseaseType::Blight,
    DiseaseType::Mildew,
    DiseaseType::Spot,
    DiseaseType::Healthy,
  ]
  let recommendations = [
    "Apply fungicide", "Remove infected leaves", "Improve air circulation", "Adjust watering",
    "No action needed",
  ]

  let mut state = 42
  let num_diseases = 5

  for i in 0..<num_diseases {
    state = (state * 11035 + 12345) % 1000000
    let x = state % (width - 100)
    state = (state * 11035 + 12345) % 1000000
    let y = state % (height - 100)
    state = (state * 11035 + 12345) % 1000000
    let w = state % 50 + 30
    state = (state * 11035 + 12345) % 1000000
    let h = state % 50 + 30
    state = (state * 11035 + 12345) % 1000000
    let confidence = (state % 1000).to_double() / 1000.0 * 0.4 + 0.6
    state = (state * 11035 + 12345) % 1000000
    let severity = (state % 1000).to_double() / 1000.0

    let bbox : Array[Int] = []
    bbox.push(x)
    bbox.push(y)
    bbox.push(x + w)
    bbox.push(y + h)

    let disease_type = disease_types[i % disease_types.length()]
    let recommendation = recommendations[i % recommendations.length()]
    let is_critical = severity > config.disease_severity_threshold &&
      disease_type != DiseaseType::Healthy

    let disease = DiseaseDetectionResult::{
      disease_id: i,
      disease_type,
      severity,
      confidence,
      bounding_box: bbox,
      affected_area_ratio: severity * 0.5,
      spread_direction: "outward",
      recommendation,
      is_critical,
    }
    diseases.push(disease)
  }

  diseases
}

///|
/// 检测虫害(简化版)
pub fn detect_pests(
  image : Array[Double],
  width : Int,
  height : Int,
  config : AgricultureVisionConfig,
) -> Array[PestDetectionResult] {
  ignore(height)
  ignore(image)
  ignore(width)
  let pests : Array[PestDetectionResult] = []

  let pest_types = [
    PestType::Aphid,
    PestType::Caterpillar,
    PestType::Beetle,
    PestType::Mite,
    PestType::Healthy,
  ]
  let recommendations = [
    "Apply insecticide", "Introduce natural predators", "Use pheromone traps", "Remove affected plants",
    "No action needed",
  ]

  let mut state = 42
  let num_pests = 5

  for i in 0..<num_pests {
    state = (state * 11035 + 12345) % 1000000
    let count = state % 20
    state = (state * 11035 + 12345) % 1000000
    let confidence = (state % 1000).to_double() / 1000.0 * 0.4 + 0.6
    state = (state * 11035 + 12345) % 1000000
    let infestation = count.to_double() / 20.0
    state = (state * 11035 + 12345) % 1000000
    let damage = (state % 1000).to_double() / 1000.0

    let pest_type = pest_types[i % pest_types.length()]
    let recommendation = recommendations[i % recommendations.length()]
    let is_critical = infestation > config.pest_infestation_threshold &&
      pest_type != PestType::Healthy

    let pest = PestDetectionResult::{
      pest_id: i,
      pest_type,
      count,
      confidence,
      bounding_box: [0, 0, 100, 100],
      infestation_level: infestation,
      damage_severity: damage,
      recommendation,
      is_critical,
    }
    pests.push(pest)
  }

  pests
}

///|
/// 预测产量(简化版)
pub fn predict_yield(
  crop_type : CropType,
  area_hectares : Double,
  growth_stage : String,
  health_index : Double,
  config : AgricultureVisionConfig,
) -> YieldPredictionResult {
  ignore(config)
  // 简化的产量预测
  let base_yields = [5.0, 6.0, 8.0, 3.0, 2.5, 40.0, 20.0, 30.0, 15.0, 5.0]
  let crop_idx = match crop_type {
    CropType::Wheat => 0
    CropType::Rice => 1
    CropType::Corn => 2
    CropType::Soybean => 3
    CropType::Cotton => 4
    CropType::Tomato => 5
    CropType::Potato => 6
    CropType::Apple => 7
    CropType::Grape => 8
    _ => 9
  }

  let base_yield = base_yields[crop_idx]
  let predicted_yield = base_yield * area_hectares * health_index

  let factors : Array[String] = []
  factors.push("weather")
  factors.push("soil_quality")
  factors.push("pest_pressure")
  factors.push("water_availability")

  YieldPredictionResult::{
    crop_type,
    predicted_yield,
    yield_unit: "tons",
    confidence: 0.75,
    current_growth_stage: growth_stage,
    expected_harvest_date: "2026-09-15",
    factors_analysis: factors,
    num_factors: factors.length(),
    historical_comparison: 1.05,
  }
}

///|
/// 分析土壤(简化版)
pub fn analyze_soil(
  soil_image : Array[Double],
  config : AgricultureVisionConfig,
) -> SoilAnalysisResult {
  ignore(soil_image)
  // 简化的土壤分析
  let mut state = 42
  state = (state * 11035 + 12345) % 1000000
  let ph = 5.5 + (state % 1000).to_double() / 1000.0 * 2.0
  state = (state * 11035 + 12345) % 1000000
  let nitrogen = (state % 1000).to_double() / 10.0
  state = (state * 11035 + 12345) % 1000000
  let phosphorus = (state % 1000).to_double() / 10.0
  state = (state * 11035 + 12345) % 1000000
  let potassium = (state % 1000).to_double() / 10.0
  state = (state * 11035 + 12345) % 1000000
  let organic_matter = (state % 1000).to_double() / 100.0
  state = (state * 11035 + 12345) % 1000000
  let moisture = (state % 1000).to_double() / 10.0
  state = (state * 11035 + 12345) % 1000000
  let temperature = 15.0 + (state % 1000).to_double() / 100.0

  let fertility = (nitrogen + phosphorus + potassium + organic_matter * 10.0) /
    4.0
  let is_ph_optimal = ph >= config.soil_ph_optimal_min &&
    ph <= config.soil_ph_optimal_max

  let recommendation = if is_ph_optimal && fertility > 50.0 {
    "Soil is optimal for planting"
  } else if !is_ph_optimal {
    "Adjust soil pH with lime or sulfur"
  } else {
    "Add organic fertilizer to improve fertility"
  }

  SoilAnalysisResult::{
    soil_type: SoilType::Loam,
    ph,
    nitrogen,
    phosphorus,
    potassium,
    organic_matter,
    moisture,
    temperature,
    fertility_score: fertility,
    recommendation,
  }
}

///|
/// 生成农业视觉报告
pub fn agriculture_vision_report_to_string(
  task_type : AgricultureVisionTaskType,
  config : AgricultureVisionConfig,
  result_description : String,
) -> String {
  let mut report = "## 农业视觉高级报告\n\n"

  report = report + "### 任务信息\n\n"
  report = report + "| 指标 | 值 |\n|------|------|\n"
  report = report +
    "| 任务类型 | " +
    (match task_type {
      AgricultureVisionTaskType::CropIdentification => "作物识别"
      AgricultureVisionTaskType::PestDetection => "虫害检测"
      AgricultureVisionTaskType::DiseaseDetection => "病害检测"
      AgricultureVisionTaskType::YieldPrediction => "产量预测"
      AgricultureVisionTaskType::SoilAnalysis => "土壤分析"
      AgricultureVisionTaskType::WeedDetection => "杂草检测"
      AgricultureVisionTaskType::GrowthMonitoring => "生长监测"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 作物类型 | " +
    (match config.crop_type {
      CropType::Wheat => "小麦"
      CropType::Rice => "水稻"
      CropType::Corn => "玉米"
      CropType::Soybean => "大豆"
      CropType::Cotton => "棉花"
      CropType::Tomato => "番茄"
      CropType::Potato => "土豆"
      CropType::Apple => "苹果"
      CropType::Grape => "葡萄"
      _ => "未知"
    }) +
    " |\n"
  report = report +
    "| 检测阈值 | " +
    config.detection_threshold.to_string() +
    " |\n"
  report = report +
    "| 病害严重度阈值 | " +
    config.disease_severity_threshold.to_string() +
    " |\n"
  report = report +
    "| 虫害侵扰阈值 | " +
    config.pest_infestation_threshold.to_string() +
    " |\n"
  report = report +
    "| 多光谱 | " +
    (if config.use_multispectral { "开启" } else { "关闭" }) +
    " |\n"
  report = report +
    "| NDVI | " +
    (if config.use_ndvi { "开启" } else { "关闭" }) +
    " |\n"
  report = report +
    "| 无人机高度 | " +
    config.drone_altitude.to_string() +
    " m |\n"
  report = report +
    "| 自动推荐 | " +
    (if config.auto_recommendation { "开启" } else { "关闭" }) +
    " |\n"

  report = report + "\n### 结果\n\n"
  report = report + result_description + "\n"

  report
}