精準農業產量最佳化

AI ↔ AI

土壤分析、天氣預測、作物建模與灌溉排程,以實現最佳產量。

5 個節點 · 5 條連接agriculture
agentapisystem
視覺化
土壤分析代理人agent

處理土壤感測器資料,分析酸鹼值、氮、磷與含水量。

sequential作物模型代理人
parallel天氣預測代理人
天氣預測代理人agent

預測各田區未來 10 天的降雨量、溫度與濕度。

parallel作物模型代理人
作物模型代理人agent

以土壤與天氣資料模擬作物生長階段,估算產量。

sequential灌溉排程器
灌溉排程器agent

計算最佳灌溉排程,在最大化產量的同時最小化用水量。

sequential產量預測報告
產量預測報告agent

產出各田區的產量預測,並附帶建議介入措施。

uc-yield-optimization.osop.yaml
osop_version: "1.0"
id: "yield-optimization"
name:"精準農業產量最佳化"
description:"土壤分析、天氣預測、作物建模與灌溉排程,以實現最佳產量。"

nodes:
  - id: "soil_analysis"
    type: "agent"
    subtype: "worker"
    name: "土壤分析代理人"
    description: "處理土壤感測器資料,分析酸鹼值、氮、磷與含水量。"

  - id: "weather_predict"
    type: "agent"
    subtype: "llm"
    name: "天氣預測代理人"
    description: "預測各田區未來 10 天的降雨量、溫度與濕度。"

  - id: "crop_model"
    type: "agent"
    subtype: "llm"
    name: "作物模型代理人"
    description: "以土壤與天氣資料模擬作物生長階段,估算產量。"

  - id: "irrigation_schedule"
    type: "agent"
    subtype: "planner"
    name: "灌溉排程器"
    description: "計算最佳灌溉排程,在最大化產量的同時最小化用水量。"

  - id: "yield_report"
    type: "agent"
    subtype: "llm"
    name: "產量預測報告"
    description: "產出各田區的產量預測,並附帶建議介入措施。"

edges:
  - from: "soil_analysis"
    to: "crop_model"
    mode: "sequential"
  - from: "weather_predict"
    to: "crop_model"
    mode: "parallel"
  - from: "soil_analysis"
    to: "weather_predict"
    mode: "parallel"
  - from: "crop_model"
    to: "irrigation_schedule"
    mode: "sequential"
  - from: "irrigation_schedule"
    to: "yield_report"
    mode: "sequential"