[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2777":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":55},2777,"Satellite Positioning-Based Precision Irrigation and Crop Health Monitoring System","https:\u002F\u002Fdoi.org\u002F10.38124\u002Fijisrt\u002F26aug1577","Precision agriculture requires timely information on spatial variations in soil and environmental conditions to improve irrigation efficiency and crop productivity. This paper presents a low-cost satellite positioning-based precision irrigation and crop health monitoring system using an ESP32 microcontroller, soil-moisture sensor, DHT22 temperature and relative-humidity sensor, light-intensity sensor, NPK sensor, pH sensor, and NEO-6 GPS receiver. The system acquires soil, environmental, nutrient, and positional data and associates each measurement with its geographical coordinates. Soil moisture is used as the primary parameter for irrigation control, while temperature, relative humidity, light intensity, NPK, and pH provide supplementary indicators of crop and soil conditions. The GPS receiver enables spatial tagging of measurements for location-specific field monitoring and irrigation decisions. The results demonstrate sensor-based irrigation operation, spatial variability in field conditions, GPS positioning within approximately 3–5 m under open-sky conditions, and 29.3% reduction in water consumption compared with fixed-time irrigation. The proposed system provides a low-cost platform for spatially informed irrigation and crop-condition monitoring, with potential application in small- and medium-scale agricultural fields.","精准农业需要及时获取土壤和环境条件的空间变异信息，以提高灌溉效率和作物生产力。本文提出了一种基于低成本卫星定位的精准灌溉与作物健康监测系统，采用ESP32微控制器、土壤湿度传感器、DHT22温湿度传感器、光照强度传感器、NPK传感器、pH传感器和NEO-6 GPS接收器。该系统采集土壤、环境、养分和位置数据，并将每次测量与其地理坐标关联。土壤湿度作为灌溉控制的主要参数，而温度、相对湿度、光照强度、NPK和pH则提供作物和土壤条件的辅助指标。GPS接收器实现测量的空间标记，以支持特定位置的田间监测和灌溉决策。结果表明，基于传感器的灌溉操作可行，田间条件存在空间变异，在开阔天空条件下GPS定位精度约为3–5 m，与固定时间灌溉相比用水量减少了29.3%。所提出的系统为空间信息驱动的灌溉和作物状况监测提供了一个低成本平台，具有在中小型农田中应用的潜力。",null,"International Journal of Innovative Science and Research Technology (IJISRT)","2026-09-15T00:00:00Z","论文",10,false,56,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},8,18,15,6,9,1,"低成本ESP32+GPS精准灌溉系统，实测节水29.3%，方法具体数据可信，但属实验室\u002F小规模验证，产业影响有限，可作为智慧农业技术案例入选。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","物联网","精准灌溉","土壤监测","卫星定位",0,"10.38124\u002Fijisrt\u002F26aug1577",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":47,"card":48,"direction":52,"ingested_from":54},"W7213362841",[37,39,41,43,45],{"name":38,"orcid":9},"O. A. Akintola",{"name":40,"orcid":9},"A. N. Lawal",{"name":42,"orcid":9},"O. B. Goodtalk",{"name":44,"orcid":9},"J.O. Ayankale",{"name":46,"orcid":9},"I. Mafiana","https:\u002F\u002Fwww.ijisrt.com\u002Fassets\u002Fupload\u002Ffiles\u002FIJISRT26AUG1577.pdf",{"tldr":49,"method":50,"finding":51,"direction":52,"opportunity":53},"开发基于ESP32和GPS的低成本精准灌溉与作物健康监测系统，实现空间标记与节水。","ESP32、土壤湿度、DHT22、光照、NPK、pH、NEO-6 GPS，以土壤","GPS定位精度3-5米，相比定时灌溉节水29.3%，并揭示田间空间变异。","智慧农业 \u002F 农业物联网","可研究多传感器融合的智能决策算法，或结合低功耗广域网实现大田远程监测与精准灌溉。","openalex","2026-09-17T23:30:18.174616Z"]