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3](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-09\u002F2fb5ffa300cd4b248b361dfafb13eaa0.jpg)\n\n[农田灌溉研究所](http:\u002F\u002Fifi.caas.cn\u002F)走进河南商丘开展科普公益行，打造户外沉浸式科学课堂。活动依托野外科研平台，开设实验观摩、趣味实验、精准农业科普三大板块，同学们实地参观智能温室、科研试验设施，动手操作叶绿素分离、酸碱度检测、显微观察等科学实验，近距离学习节水灌溉、精密播种、智慧农业等前沿技术，彻底打破对传统农耕的刻板印象。活动暖心吸纳特殊青少年群体参与，以温情科普传递科学温度，让每一位青少年都能感受农科魅力。\n\n饲料所、[生物所](http:\u002F\u002Fbri.caas.cn\u002F)、[水稻所](http:\u002F\u002Fcnrri.caas.cn\u002F)等研究所也纷纷创新科普形式，通过科学小实验、主题宣讲、许愿涂鸦、动画放映、田间观摩等多样化活动，将专业农科知识融入趣味互动中。一系列接地气、有新意的科普活动，让青少年跳出课本局限，真切读懂粮食安全、生态保护、种业振兴的深刻内涵，在心中厚植知农、爱农、强农的情怀种子。\n\n**坚守科研科普双翼，赋能农业强国建设**\n\n科技创新与科学普及是创新发展的两翼。作为农业科研“国家队”，中国农科院各研究所始终坚守社会责任，以农科开放日为重要科普载体，坚持科研攻关与科学普及双向发力，在展示科研实力、普及农科知识的同时，凝聚全社会助力农业发展的共识与力量。\n\n本次系列开放日活动联动多方资源，汇聚高校、企业、媒体、学校等多方力量，构建全方位、立体化的科普传播格局。[农经所](http:\u002F\u002Fiaed.caas.cn\u002F)联动多家科研院所、涉农企业，多维度宣传乡村生态振兴发展理念；[植保所](http:\u002F\u002Fipp.caas.cn\u002F)联合重点实验室搭建科普平台，聚焦农业生物安全、粮食安全开展精准科普；[水稻所](http:\u002F\u002Fcnrri.caas.cn\u002F)创新线上线下联动模式，通过多平台直播让数万网友云端探秘稻作科技，大幅拓宽科普覆盖面。\n\n![Image 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农科开放日 中玉303","玉米密植高产 秋粮单产","中国农科院农科开放日中玉303-3394","2026-09-25T00:09:29.523570Z",{"id":178,"title":179,"url":180,"summary":181,"summary_zh":8,"content":182,"source_name":183,"source_url":8,"published_at":184,"category":12,"cover_url":8,"hotness":13,"is_selected":14,"score":185,"score_detail":186,"sources":189,"tags":191,"primary_topic":8,"secondary_topics":193,"classification":194,"search_phrases":223,"slug":225,"view_count":226,"doi":8,"paper":8,"created_at":227},3035,"中国农科院启动第八届农科开放日 京内外36个院属单位560余项成果集中亮相","https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fspnk\u002Fmtsp\u002F9aecd6529f994e51b4f98f7ab8a8606b.htm","中国农业科学院第八届农科开放日9-19正式启动。本届农科开放日以\"农业科技赋能 点亮美好生活\"为主题，汇聚全院优势科技资源，京内外36个院属单位结合自身特点在分会场同步举办丰富多彩的科普活动，560余项最新农业科技成果集中亮相。开幕式现场展示由中国农科院野生作物种质资源保护与利用团队研发的野生稻智能表型巡检机器狗，还邀请7位专家围绕粮食安全、生物育种、智慧农业等主题用通俗易懂的语言讲解农业科技知识。农科开放日自2019年举办以来累计吸引4400万公众通过线上线下参与。","[English](https:\u002F\u002Fwww.caas.cn\u002Fen)[邮箱](https:\u002F\u002Fmail.caas.cn\u002F)[数字农科院](https:\u002F\u002Fi.caas.cn\u002F)[](https:\u002F\u002Fcaas.cn\u002Fcms\u002Fweb\u002Fsearch\u002Findex.jsp)\n\n官方微信 \n\n![Image 2](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002F020ac4d3d8b6451782a8702c72604336.jpg)农科专家在线微信公众号\n\n![Image 3](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2023-01\u002Fbf6579e4651e437db31a22cd2249b319.jpg)中国农科院微信公众号\n\n[![Image 4](https:\u002F\u002Fcaas.cn\u002Fstatic2022\u002Fimages\u002Fmenu_logo.png)](https:\u002F\u002Fcaas.cn\u002Findex.htm)\n\n*   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作者：李丽颖\n\n字体[小](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fspnk\u002Fmtsp\u002F9aecd6529f994e51b4f98f7ab8a8606b.htm)[中](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fspnk\u002Fmtsp\u002F9aecd6529f994e51b4f98f7ab8a8606b.htm)[大](https:\u002F\u002Fcaas.cn\u002Fxwzx\u002Fspnk\u002Fmtsp\u002F9aecd6529f994e51b4f98f7ab8a8606b.htm)\n\n![Image 8](https:\u002F\u002Fcaas.cn\u002Fimages\u002F2026-09\u002Fd69eb4c44d8b4178ab133638aae7802e.jpg)\n\n中国农科院野生作物种质资源保护与利用团队研发的野生稻智能表型巡检机器狗\n\n9月19日，中国农业科学院第八届农科开放日正式启动。本届农科开放日以“农业科技赋能 点亮美好生活”为主题，汇聚全院优势科技资源，通过农业科技成果展示、科普互动体验、优良品种品鉴、青少年科学启蒙等系列活动，全方位、多角度展示中国农业科学院的科技硬实力与创新活力，让公众近距离接触前沿科技成果，感受农业科技支撑国家粮食安全的责任担当。\n\n本届农科开放日在全国科普月和第九届农民丰收节之际举办，京内外36个院属单位结合自身特点，在分会场同步举办丰富多彩的科普活动，560余项最新农业科技成果集中亮相。\n\n开放日开幕式现场，不仅展示了由中国农科院野生作物种质资源保护与利用团队研发的野生稻智能表型巡检机器狗，还邀请来自国家植物园和院属单位的7位专家，围绕粮食安全、生物育种、智慧农业等主题，用通俗易懂的语言讲解农业科技知识，让公众与科研人员面对面交流。\n\n中国农业科学院党组书记[杨振海](https:\u002F\u002Fwww.caas.cn\u002Fzzjg\u002Fyld\u002Fdzsj\u002F94a0c5ace27a415a956c9b92ec7a0032.htm)表示，中国农科院作为农业科研国家队，深入贯彻落实习近平总书记关于科学普及工作的重要指示精神，按照农业农村部办公厅、科技部办公厅、中国科协办公厅联合印发的《关于加强农业科普工作的意见》要求，坚持把科学技术普及放在与科技创新同等重要的位置，大力推动农业科技成果推广应用和宣传普及，助力农业新质生产力发展，推动粮食和重要农产品丰产丰收，让更多农业科技成果走出实验室、走进田间地头、走进千家万户，为推进乡村全面振兴、加快建设农业强国提供有力支撑。\n\n据悉，农科开放日自2019年举办以来，已成为中国农科院开展农业科普的重要品牌活动，是公众了解农业科技进展、走进中国农科院的重要渠道，累计吸引4400万公众通过线上线下参与。\n\n(单位: 中国农业科学院直属机关党委)\n\n打印本页\n\n关闭本页\n\n[院网信息发布与管理](https:\u002F\u002Fcaas.cn\u002Fywxxfbygl\u002Findex.htm)[最新动态](https:\u002F\u002Fcaas.cn\u002Fywxxfbygl\u002Findex.htm)\n\n*   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邮编:100081\n\nCopyright@中国农业科学院 京ICP备10039560号-5 京公网安备11940846021-00001号","中国农业科学院","2026-09-19T08:00:00Z",57,{"impact":17,"substance":13,"depth":20,"authority":187,"freshness":135,"relevant":21,"comment":188},15,"国家级科研机构主办的科普开放活动，权威性高但属年度例行宣传，信息增量有限，可作为科普主题聚合素材。",[190],{"name":183,"url":180},[26,28,192,30],"科技成果转化",[],{"status":195,"locked":14,"version":34,"method":35,"evidence":196},"needs_review",{"candidates":197,"agricultural_evidence":48,"reason":222},[198,202,207,211,217],{"code":44,"score":94,"supported":48,"title":199,"abstract":200,"tags":201},[],[26],[26],{"code":125,"score":105,"supported":48,"title":203,"abstract":204,"tags":206},[],[205],"粮食安全",[],{"code":93,"score":105,"supported":48,"title":208,"abstract":209,"tags":210},[],[74],[],{"code":212,"score":105,"supported":48,"title":213,"abstract":214,"tags":216},"F2",[],[215],"生物育种",[],{"code":218,"score":21,"supported":14,"title":219,"abstract":220,"tags":221},"G1",[],[],[192],"多个产业证据相当，需要确认主归属",[51,224],"农科开放日 成果展示","中国农科院农科开放日-3035",0,"2026-09-21T00:04:33.921955Z",{"id":229,"title":230,"url":231,"summary":232,"summary_zh":233,"content":8,"source_name":234,"source_url":231,"published_at":235,"category":236,"cover_url":8,"hotness":13,"is_selected":14,"score":237,"score_detail":238,"sources":240,"tags":242,"primary_topic":246,"secondary_topics":251,"classification":257,"search_phrases":283,"slug":286,"view_count":226,"doi":287,"paper":288,"created_at":308},5378,"IoT-Enabled Smart Irrigation Using ESP32 and LoRa for Precision Water Management in Connectivity-Limited Regions","https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics15204831","In this paper, a new method for irrigation systems in agriculture has been reported. This work aims to design and implement a smart irrigation system based on the ESP32 platform and Internet of Things (IoT) technologies for optimizing water usage management. With the rapid growth of Internet of Things (IoT) technologies, where devices are connected and can be controlled through the internet, it is now feasible to design smart irrigation systems based on real-time environmental data to deliver optimal water use with minimal human intervention. In Sahara areas, where communication networks and internet connections are lacking, alternative communication protocols are necessary for data transfer. LoRa technology based on the SX1278 transceiver provides long-range, low-power communication that can achieve multi-kilometer ranges (up to 10–15 km in rural areas) under ideal conditions: line-of-sight, high antenna height, low data rate, and open rural environments between distributed sensor nodes and a central gateway. However, this theoretical range cannot be assumed in practice. Field tests under standard farm deployment conditions (ground-level placement and vegetation interference) showed that the link was lost at approximately 120 m, which validates the system at the scale of a field plot. This project used Arduino (version 2.3.7) software to program the NodeMCU (ESP32) board to link the board with the Blynk cloud application. The project is used to monitor the temperature, humidity, and soil moisture and do the command for the irrigation system, with master and slave cards using LoRa technology as a communication tool to replace communication systems like WiFi or cellular networks in deserted or remote areas, which might not offer sufficient coverage or could be too expensive to build. To address this challenge, this paper presents the design and implementation of a smart irrigation system based on the ESP32 microcontroller and LoRa (SX1278) technology, with the long-term objective of helping in the modernization of traditional agriculture and environmental sustainability. Extending the coverage to larger fields and Sahara areas would require elevated antennas, optimized LoRa parameters (spreading factor and bandwidth), multi-hop relay nodes, or multiple gateways; these strategies are proposed as future work.","本文报道了一种农业灌溉系统的新方法。本工作旨在设计和实现一种基于ESP32平台和物联网（Internet of Things, IoT）技术的智能灌溉系统，以优化用水管理。随着物联网技术的快速发展，设备得以互联并可通过互联网进行控制，如今基于实时环境数据设计智能灌溉系统，以在最少人工干预下实现最优用水已成为可能。在撒哈拉地区，由于缺乏通信网络和互联网连接，数据传输需要采用替代通信协议。基于SX1278收发器的LoRa技术可提供远距离、低功耗通信，在理想条件下（视距传输、天线高度较高、低数据速率以及分布式传感器节点与中心网关之间开阔的农村环境），其通信距离可达数公里（农村地区可达10–15 km）。然而，这一理论距离在实际中并不能假定成立。在标准农田部署条件下（地面放置和植被干扰）进行的现场测试表明，链路在约120 m处即发生中断，这验证了系统在田块尺度上的可行性。本项目使用Arduino（版本2.3.7）软件对NodeMCU（ESP32）开发板进行编程，将开发板与Blynk云应用相连接。该项目用于监测温度、湿度和土壤水分，并向灌溉系统发送指令，主从卡采用LoRa技术作为通信工具，以替代WiFi或蜂窝网络等通信系统——这些系统在荒漠或偏远地区可能覆盖不足，或建设成本过高。为应对这一挑战，本文提出了基于ESP32微控制器和LoRa（SX1278）技术的智能灌溉系统的设计与实现，其长期目标是助力传统农业的现代化和环境可持续性。要将覆盖范围扩展至更大田块和撒哈拉地区，需要架高天线、优化LoRa参数（扩频因子和带宽）、采用多跳中继节点或部署多个网关；这些策略被提出作为未来工作。","Electronics","2026-10-19T00:00:00Z","论文",67,{"impact":19,"substance":17,"depth":67,"authority":68,"freshness":135,"relevant":21,"comment":239},"面向无网络覆盖地区的ESP32+LoRa智能灌溉系统，含实地链路测试数据，方法有参考价值但属细分技术进展，未达每日精选门槛。",[241],{"name":234,"url":231},[26,243,244,29,245],"物联网","精准农业","LoRa",{"code":247,"slug":248,"name":249,"path":250,"parent_code":80},"I5","agricultural-iot","物联网传感与边缘计算","\u002Ftopic\u002Fdigital-agriculture\u002Fagricultural-iot",[252],{"code":39,"slug":253,"name":254,"path":255,"parent_code":256},"irrigation","水资源与灌溉","\u002Ftopic\u002Fenvironment\u002Firrigation","H",{"status":83,"locked":14,"version":34,"method":35,"evidence":258},{"candidates":259,"agricultural_evidence":48},[260,266,271,278],{"code":247,"score":17,"supported":48,"title":261,"abstract":263,"tags":265},[262],"IoT",[243,264,262],"internet of things",[243],{"code":39,"score":187,"supported":48,"title":267,"abstract":268,"tags":270},[253],[269,253],"灌溉",[29],{"code":272,"score":20,"supported":48,"title":273,"abstract":274,"tags":277},"H2",[],[275,276],"土壤","soil",[],{"code":44,"score":279,"supported":14,"title":280,"abstract":281,"tags":282},2,[],[],[26,244],[284,285],"ESP32 LoRa 智能灌溉","SX1278 精准灌溉","ESP32LoRa智能灌溉-5378","10.3390\u002Felectronics15204831",{"doi":287,"openalex_id":289,"authors":290,"venue":234,"cited_by_count":226,"oa_url":231,"card":301,"direction":305,"ingested_from":307},"W7222959710",[291,293,295,298],{"name":292,"orcid":8},"Hanfoug Salah",{"name":294,"orcid":8},"Riad Saidi",{"name":296,"orcid":297},"Abdelaziz Aouiche","https:\u002F\u002Forcid.org\u002F0000-0003-1378-7941",{"name":299,"orcid":300},"Yazeed Alkhrijah","https:\u002F\u002Forcid.org\u002F0000-0001-7352-003X",{"tldr":302,"method":303,"finding":304,"direction":305,"opportunity":306},"基于ESP32与LoRa构建智能灌溉系统，在无网络覆盖区实现精准用水管理。","ESP32采集温湿度和土壤水分，经LoRa(SX1278)传输至网关并接入Bly","实际农田条件下LoRa链路仅约120米即中断，远低于理论公里级。","智慧农业 \u002F 农业物联网","可研究多跳中继、天线高度与扩频参数优化，提升偏远农田LoRa组网覆盖与可靠性。","openalex","2026-10-20T23:30:08.464791Z",{"id":310,"title":311,"url":312,"summary":313,"summary_zh":314,"content":8,"source_name":315,"source_url":312,"published_at":316,"category":236,"cover_url":8,"hotness":13,"is_selected":14,"score":317,"score_detail":318,"sources":322,"tags":324,"primary_topic":328,"secondary_topics":329,"classification":336,"search_phrases":386,"slug":389,"view_count":226,"doi":390,"paper":391,"created_at":415},4989,"Advances in micro-irrigation and supplementary irrigation in millets of dryland ecosystems","https:\u002F\u002Fdoi.org\u002F10.14719\u002Fpst.16312","Dryland ecosystems cover approximately 41 % of the Earth's terrestrial surface and support nearly two billion people. This review synthesises recent advances in micro-irrigation and supplementary irrigation strategies for enhancing millet productivity and resilience in dryland ecosystems. Drylands are characterised by low and erratic rainfall, high evapotranspiration, poor soil fertility and frequent drought stress, making agricultural production vulnerable to climate variability and water scarcity. Millets are drought-tolerant, climate-resilient cereals cultivated in dryland agroecosystems. Despite their resilience, millet productivity remains constrained by increasing rainfall variability, prolonged intra-seasonal dry spells and rising atmospheric aridity associated with climate change. Evidence from semi-arid and arid regions indicates that micro-irrigation systems, including drip, subsurface drip and micro-sprinkler irrigation, significantly improve yield and biomass accumulation compared to conventional surface irrigation methods. These irrigation systems also enhance water use efficiency (WUE) and nutrient use efficiency (NUE), making them highly suitable for millet production in dryland ecosystems. The integration of fertigation further improves nutrient synchronisation with crop demand, reduces leaching losses and supports soil fertility. The review also highlights optimised irrigation scheduling based on evapotranspiration, soil moisture thresholds, deficit irrigation principles and sensor-based automation. Smart irrigation technologies incorporating soil moisture sensors and Internet of Things (IoT)-based control systems show strong potential to enhance precision water management and reduce water consumption by up to 30–35 %. Their adoption, supported by technological innovation, policy frameworks and location-specific research, will promote sustainable water management and resource-use efficiency in millet-based dryland ecosystems. Future research should focus on optimising irrigation scheduling, smart technologies and cost-effective solutions for water-limited environments.","旱地生态系统约占地球陆地表面的41%，支撑着近20亿人口。本文综述了微灌与补充灌溉策略在提升旱地生态系统中小米生产力与恢复力方面的最新进展。旱地降水少且不稳定、蒸散量大、土壤肥力低、干旱胁迫频繁，使农业生产易受气候变率和缺水的影响。小米是种植于旱地农业生态系统中的耐旱、气候适应型谷物。尽管具有恢复力，小米生产力仍受降雨变率增大、季节性持续干旱期延长以及气候变化相关的大气干燥度上升的制约。来自半干旱和干旱地区的证据表明，与传统地面灌溉方式相比，微灌系统（包括滴灌、地下滴灌和微喷灌）显著提高了产量和生物量积累。这些灌溉系统还提高了水分利用效率（WUE）和养分利用效率（NUE），使其非常适合旱地生态系统中的小米生产。水肥一体化（fertigation）的整合进一步改善了养分与作物需求的同步性，减少了淋失损失，并有助于维持土壤肥力。本文还重点介绍了基于蒸散量、土壤水分阈值、亏缺灌溉原则和基于传感器的自动化的优化灌溉制度。结合土壤水分传感器和基于物联网（IoT）控制系统的智能灌溉技术，在提升精准水分管理和减少高达30%–35%的用水量方面展现出巨大潜力。在技术创新、政策框架和因地制宜研究的支持下，这些技术的采用将促进以小米为基础的旱地生态系统中的可持续水分管理和资源利用效率。未来研究应聚焦于优化灌溉制度、智能技术以及面向水资源受限环境的成本效益解决方案。","Plant Science Today","2026-10-14T00:00:00Z",76,{"impact":17,"substance":319,"depth":320,"authority":68,"freshness":135,"relevant":21,"comment":321},20,17,"系统综述微灌与补充灌溉提升旱地谷子产量与水肥效率，含物联网智能灌溉节水30-35%等实质结论，对旱作智慧农业有参考价值。",[323],{"name":315,"url":312},[26,325,326,29,327],"农业物联网","旱作农业","谷子高粱",{"code":39,"slug":253,"name":254,"path":255,"parent_code":256},[330,331],{"code":247,"slug":248,"name":249,"path":250,"parent_code":80},{"code":332,"slug":333,"name":334,"path":335,"parent_code":256},"H7","climate","气候适应与防灾减灾","\u002Ftopic\u002Fenvironment\u002Fclimate",{"status":83,"locked":14,"version":34,"method":35,"evidence":337},{"candidates":338,"agricultural_evidence":48},[339,346,350,359,366,370,376,382],{"code":39,"score":340,"supported":48,"title":341,"abstract":342,"tags":345},19,[253],[269,343,253,344],"水资源","evapotranspiration",[326,29],{"code":247,"score":13,"supported":48,"title":347,"abstract":348,"tags":349},[],[243,264,262],[325],{"code":332,"score":87,"supported":48,"title":351,"abstract":352,"tags":358},[],[353,354,355,356,357],"气候变化","气候适应","干旱","climate change","drought",[],{"code":360,"score":20,"supported":48,"title":361,"abstract":362,"tags":365},"F3",[],[363,364],"水肥一体化","fertigation",[],{"code":272,"score":20,"supported":48,"title":367,"abstract":368,"tags":369},[],[275,276],[],{"code":371,"score":105,"supported":48,"title":372,"abstract":373,"tags":375},"A5",[],[374],"millet",[],{"code":377,"score":105,"supported":48,"title":378,"abstract":379,"tags":381},"H6",[],[380],"农业生态",[],{"code":44,"score":21,"supported":14,"title":383,"abstract":384,"tags":385},[],[],[26],[387,388],"微灌 补充灌溉 旱地 谷子","智慧灌溉 水分利用效率 谷子","微灌补充灌溉旱地谷子-4989","10.14719\u002Fpst.16312",{"doi":390,"openalex_id":392,"authors":393,"venue":315,"cited_by_count":226,"oa_url":409,"card":410,"direction":305,"ingested_from":307},"W7221796668",[394,397,400,403,406],{"name":395,"orcid":396},"M Megha","https:\u002F\u002Forcid.org\u002F0009-0006-7303-6946",{"name":398,"orcid":399},"N Vadivel","https:\u002F\u002Forcid.org\u002F0000-0002-5301-5324",{"name":401,"orcid":402},"P. Kannan","https:\u002F\u002Forcid.org\u002F0000-0001-7003-3535",{"name":404,"orcid":405},"P. Ayyadurai","https:\u002F\u002Forcid.org\u002F0000-0003-1889-6047",{"name":407,"orcid":408},"PD Rathinasamy","https:\u002F\u002Forcid.org\u002F0000-0001-8793-3513","https:\u002F\u002Fhorizonepublishing.com\u002Fjournals\u002Findex.php\u002FPST\u002Farticle\u002Fdownload\u002F16312\u002F16748",{"tldr":411,"method":412,"finding":413,"direction":305,"opportunity":414},"综述旱地微灌与补充灌溉提升小米产量与水分利用效率的研究进展。","综述滴灌、地下滴灌、微喷及水肥一体化、传感器与IoT智能灌溉技术。","微灌显著提高小米产量、WUE和NUE，智能灌溉可节水30–35%。","可研究低成本IoT灌溉决策模型在小米旱地的本地化适配与长期效应。","2026-10-15T23:30:08.971713Z",{"id":417,"title":418,"url":419,"summary":420,"summary_zh":421,"content":8,"source_name":422,"source_url":419,"published_at":423,"category":236,"cover_url":8,"hotness":13,"is_selected":14,"score":424,"score_detail":425,"sources":427,"tags":429,"primary_topic":432,"secondary_topics":433,"classification":434,"search_phrases":477,"slug":480,"view_count":226,"doi":481,"paper":482,"created_at":496},4740,"EcoGrow Smart Irrigation System (EGSIS) A solar-powered, AI-enabled irrigation and water management system with live monitoring, alarms and ESG reporting for climate-smart food production, water resilience, land-based aquaculture and the circular economy","https:\u002F\u002Fdoi.org\u002F10.5281\u002Fzenodo.23294278","The EcoGrow Smart Irrigation System (EGSIS) is a low-cost, solar-powered irrigation controller and water management system designed for small-scale vegetable production. It replaces calendar-based or manual watering with irrigation that responds to the actual moisture condition of the soil. Water is applied only when the crop needs it, and the entire system runs on solar energy stored in a long-life LiFePO4 battery. Agriculture is both a major user of freshwater and a significant source of greenhouse gas emissions, while small-scale growers in South Africa face unreliable electricity, rising energy costs, drought risk and limited access to technology. EGSIS addresses these pressures with a compact, affordable and measurable solution that links renewable energy, automation and intelligent water use. EGSIS also includes an AI and software layer. Machine-learning models adapt irrigation to different crops, growth stages and weather, while a web and mobile app gives growers live data on tank levels, solar generation and soil moisture, a dashboard of key performance indicators, and triggers and alarms for faults. The same data feeds automated ESG (environmental, social and governance) reports that growers can use to attract funding and investment.","EcoGrow智能灌溉系统（EGSIS）是一款低成本、太阳能驱动的灌溉控制器与水资源管理系统，专为小规模蔬菜生产而设计。它取代了基于日历或人工浇水的模式，转而根据土壤实际湿度状况进行灌溉。只有在作物需要时才供水，整个系统依靠储存在长寿命磷酸铁锂（LiFePO4）电池中的太阳能运行。农业既是淡水的主要使用者，也是温室气体排放的重要来源，而南非的小规模种植者面临着电力不可靠、能源成本上涨、干旱风险以及技术获取渠道有限等问题。EGSIS通过一种紧凑、经济且可量化的解决方案来应对这些压力，将可再生能源、自动化和智能用水连接起来。EGSIS还包含人工智能与软件层。机器学习模型可根据不同作物、生长阶段和天气调整灌溉，而网页和移动应用则为种植者提供水箱水位、太阳能发电量和土壤湿度的实时数据、关键绩效指标仪表板，以及故障触发器和警报。同一套数据还可用于生成自动化ESG（环境、社会和治理）报告，种植者可借此吸引资金和投资。","Zenodo (CERN European Organization for Nuclear Research)","2026-10-11T00:00:00Z",68,{"impact":19,"substance":17,"depth":67,"authority":68,"freshness":87,"relevant":21,"comment":426},"面向小农户的低成本太阳能AI灌溉系统，方法具体、数据可测，但属细分技术方案，公共影响有限。",[428],{"name":422,"url":419},[26,73,29,430,431],"光伏农业","ESG报告",{"code":39,"slug":253,"name":254,"path":255,"parent_code":256},[],{"status":83,"locked":14,"version":34,"method":35,"evidence":435},{"candidates":436,"agricultural_evidence":48},[437,441,447,455,460,464,468,473],{"code":39,"score":17,"supported":48,"title":438,"abstract":439,"tags":440},[253],[269,343,253],[29],{"code":442,"score":135,"supported":48,"title":443,"abstract":445,"tags":446},"D",[444],"aquaculture",[],[],{"code":448,"score":449,"supported":48,"title":450,"abstract":451,"tags":454},"B7",7,[],[452,453],"温室","greenhouse",[430],{"code":147,"score":20,"supported":48,"title":456,"abstract":457,"tags":459},[],[150,458],"vegetable",[],{"code":272,"score":20,"supported":48,"title":461,"abstract":462,"tags":463},[],[275,276],[],{"code":332,"score":20,"supported":48,"title":465,"abstract":466,"tags":467},[],[355,357],[],{"code":76,"score":94,"supported":48,"title":469,"abstract":470,"tags":472},[],[471],"机器学习",[73],{"code":44,"score":21,"supported":14,"title":474,"abstract":475,"tags":476},[],[],[26],[478,479],"EGSIS 太阳能 灌溉","农业人工智能 光伏农业 智慧农业 节水灌溉","EGSIS太阳能灌溉-4740","10.5281\u002Fzenodo.23294278",{"doi":481,"openalex_id":483,"authors":484,"venue":422,"cited_by_count":226,"oa_url":419,"card":491,"direction":305,"ingested_from":307},"W7221439427",[485,487,489],{"name":486,"orcid":8},"Hoko Energy and Projects",{"name":488,"orcid":8},"Siyabulela Hoko",{"name":490,"orcid":8},"Asithandile Mgweba",{"tldr":492,"method":493,"finding":494,"direction":305,"opportunity":495},"开发太阳能AI灌溉系统EGSIS，按土壤湿度精准灌溉并生成ESG报告。","太阳能供电、LiFePO4电池、机器学习模型、Web\u002F移动应用实时监控。","低成本系统可减少用水、适应小农需求，并自动生成ESG报告助力融资。","可研究AI灌溉模型在不同作物和气候下的泛化能力，以及ESG报告对小农融资的实际影响。","2026-10-12T23:30:07.706557Z"]