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[
{
"query": "水稻稻瘟病怎么识别?",
"results": [
{
"id": "01",
"score": 0.5556,
"snippet": "水稻稻瘟病是由稻瘟病菌Magnaporthe oryzae引起的真菌性病害是水稻生产中危害最大的病害之一。该病可侵染叶片、节、穗颈和谷粒分别称为叶瘟、节瘟、穗颈瘟和谷粒瘟。叶瘟典型病斑为梭形"
},
{
"id": "02",
"score": 0.2222,
"snippet": "小麦条锈病由条形柄锈菌Puccinia striiformis f.sp. tritici引起主要危害叶片和叶鞘。夏孢子堆沿叶脉纵向排列成行呈虚线状鲜黄色这是区别于叶锈病和秆锈病的重要特征"
}
]
},
{
"query": "遥感技术怎么监测病虫害?",
"results": [
{
"id": "05",
"score": 0.75,
"snippet": "农业遥感技术利用卫星、无人机等平台获取作物光谱信息通过分析可见光、近红外、热红外等波段数据实现对作物生长状况、病虫害、水分胁迫等的无损监测。常用植被指数包括NDVI归一化差异植被指数、EVI"
},
{
"id": "06",
"score": 0.4167,
"snippet": "智能农业病虫害预警系统通过部署田间物联网传感器,实时采集温度、湿度、光照、风速等环境参数,结合作物生长模型和病虫害发生规律,利用机器学习算法预测病虫害发生风险。当环境条件达到特定病虫害暴发阈值时,系统"
}
]
},
{
"query": "智能灌溉系统如何工作?",
"results": [
{
"id": "06",
"score": 0.4545,
"snippet": "智能农业病虫害预警系统通过部署田间物联网传感器,实时采集温度、湿度、光照、风速等环境参数,结合作物生长模型和病虫害发生规律,利用机器学习算法预测病虫害发生风险。当环境条件达到特定病虫害暴发阈值时,系统"
},
{
"id": "10",
"score": 0.2727,
"snippet": "农业大数据平台整合了气象、土壤、遥感、市场等多源数据,通过数据融合和分析,为农业生产提供决策支持。平台通常包括数据采集层、数据存储层、数据处理层和应用服务层,支持数据可视化、统计分析、模型预测和智能推"
}
]
}
]

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{
"image": "disease_0001.jpg",
"size": "857x811",
"annotations": [
{
"病害类别": "棉花_枯萎病",
"边界框": [
491,
464,
262,
231
],
"面积": 60522
}
],
"knowledge": [
{
"query": "棉花_枯萎病",
"related_doc": "棉花枯萎病由尖孢镰刀菌萎蔫专化型Fusarium oxysporum f.sp. vasinfectum引起是棉花上的毁灭性病害。典型症状为叶片黄色网纹状后变褐干枯维管束变褐。该病菌可在土壤中存活10年以上主要通过带菌土壤和种子传播。"
}
]
}

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03_RAG问答结果.json Normal file
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[
{
"question": "水稻叶片有褐色病斑,是不是稻瘟病?",
"matched_qa_score": 0.8571,
"knowledge_context": [
"01",
"03"
],
"answer": "稻瘟病的病斑呈典型的梭形(纺锤形),两端有延伸的褐色坏死线,中央灰白色,边缘褐色;而胡麻叶斑病的病斑较小,呈椭圆形或不规则形,暗褐色,无明显坏死线。可通过观察病斑形状、颜色和坏死线特征来区分。",
"source": "QA语料库"
},
{
"question": "无人机怎么监测作物病害?",
"matched_qa_score": 0.8333,
"knowledge_context": [
"05",
"09"
],
"answer": "无人机病虫害监测流程1) 任务规划设定航线、飞行高度一般30-100m和重叠率2) 数据采集:搭载多光谱/高光谱相机获取影像3) 图像预处理拼接、辐射校正、几何校正4) 特征提取计算植被指数识别异常区域5) 病害识别利用训练好的模型进行分类检测6) 生成病虫害分布图,指导精准施药。",
"source": "QA语料库"
},
{
"question": "小麦锈病怎么防治?",
"matched_qa_score": 0.6667,
"knowledge_context": [
"02",
"06"
],
"answer": "这是小麦条锈病的典型症状。建议1) 立即喷施三唑酮或丙环唑等药剂2) 适当增施磷钾肥提高植株抗病力3) 注意田间通风透光降低湿度4) 严重地块应在发病初期及时防治间隔7-10天喷施一次。",
"source": "QA语料库"
},
{
"question": "土壤湿度传感器数据怎么看?",
"matched_qa_score": 0.5385,
"knowledge_context": [
"06",
"07"
],
"answer": "智能灌溉系统通过以下方式自动调节1) 土壤湿度传感器实时监测含水量2) 设定作物不同生育期的湿度阈值上下限3) 当湿度低于下限自动启动灌溉达到上限自动停止4) 结合天气预报如果即将降雨则减少灌溉量5) 根据土壤类型(砂土/壤土/黏土调整灌溉速率6) 通过历史数据优化灌溉策略,实现节水增产。",
"source": "QA语料库"
}
]

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04_HDF5数据摘要.json Normal file
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{
"metadata": {
"bands": "Blue(450nm), Green(560nm), Red(650nm), RedEdge(730nm), NIR(840nm)",
"create_date": "2024-06-15",
"description": "多光谱作物影像数据集",
"resolution": "2.4cm/pixel",
"sensor": "DJI P4 Multispectral"
},
"scene_count": 20,
"scene_001": {
"attributes": {
"crop_type": "水稻",
"date": "2024-09-05",
"health_status": "中度病害",
"location": "长江中下游"
},
"multispectral_shape": [
5,
64,
64
],
"ndvi_shape": [
64,
64
],
"ndvi_range": [
-0.9997854232788086,
0.9994948506355286
]
},
"labels_shape": [
20,
64,
64
],
"classes": [
"健康",
"轻度病害",
"中度病害",
"重度病害"
]
}

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