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每一滴水都至关重要:利用数据和人工智能优化灌溉和排水.pdf

上传人: 可*** 编号:991637 2025-12-07 15页 13.60MB

1、EveryEvery drop drop countscounts:optimizing irrigation and drainage with data and AI.Deployment Deployment of connected of connected sensorssensorsfor smart for smart management and management and precise precise control of water use.control of water use.The accessibility The accessibility of openo

2、f open-source satellite data provides source satellite data provides a a valuable source valuable source of of agricultural information without agricultural information without requiring anyrequiring anyinvestmentinvestment.Smart Water Smart Water Management through DataBridging the data gap on farm

3、s through technology to better adapt to water stress and optimize water management.Only 10 to 15%of farms currently utilize open-source data.Between 5 and 10%of farms worldwide use connected sensors or IoT technologies to manage irrigation.Less than 5%of farms currently use AI-based technologies for

4、 irrigation management.Use of Use of AI AI to optimize agricultural to optimize agricultural managementmanagementand monitoring and monitoring in the face of in the face of water scarcity.water scarcity.ChallengesChallengesCurrent Challenges in Greenhouse Irrigation Global Global OverviewOverviewIns

5、ufficient PrecisionDrainage IssuesLack of Real-Time DataChallenges in Managing VariabilityHigh Water and Energy ConsumptionInsufficient Traceability and Historical RecordsGreenhouse From Intuitive Management to Scientific,Data-Driven Control.qIs my microclimate under control?Is my microclimate under

6、 control?Monitoring environmental interactions.qHow much am I supplying and how much am I How much am I supplying and how much am I draining?draining?qIs my water available and of good quality?Is my water available and of good quality?Smart management of the resource in terms of quantity and quality

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根据报告的内容,全文主要内容概括如下: - **数据与AI在农业中的应用**:利用开源卫星数据和连接传感器,通过数据桥接优化灌溉和排水,提高水资源管理效率。 - **现状与挑战**:目前只有10-15%的农场使用开源数据,5-10%使用物联网技术,不到5%使用AI技术。 - **智能管理**:通过智能监测环境交互、水资源供应与排水,实现数据驱动的精准控制。 - **案例与成果**: - 水消耗减少20-30%,产量增加0.24 kg/m²。 - 水资源保护,减少过度抽取和土壤盐碱化。 - 通过监测和优化排水,减少肥料损失,提高灌溉效率。 - **结论**:AI和物联网技术使灌溉更精准,减少水资源浪费,提高农业产量和可持续性。
"精准灌溉,AI助力农业" "开源数据,农业新动力" "智能农业,数据驱动未来"
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