[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2278":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":23,"tags":25,"view_count":31,"doi":32,"paper":33,"created_at":59},2278,"StrawberryGRO-E: A techno-economic analytic modeling framework for strawberry production in plant factories","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compag.2026.112405","Plant factories with artificial lighting (PFALs) offer a transformative approach to food security, yet their economic viability is constrained by high production expenditures and persistent yield heterogeneity. Despite uniform macro-environmental controls, endogenous genetic rhythms and micro-environmental fluctuations induce asynchronous inflorescence overlap which acts as a critical biological driver of output variation. This study aimed to quantify dynamic reproductive load and determine how inflorescence management affected physiological performance, resource efficiency, and economic outcomes in PFAL strawberry production. The Simultaneous Active Inflorescences (SAI) index was developed as a quantitative metric of dynamic reproductive load, and physiological assessments were conducted to characterize its effects on source-sink competition. These relationships were then incorporated into the StrawberryGRO-E techno-economic analytic modeling framework to evaluate three management strategies defined by maximum SAI thresholds: Conservative ( SA I max = 1), Moderate ( SA I max = 2), and Intensive ( SA I max = 3). Results demonstrated that despite individual physiological penalties associated with higher reproductive loads, the Intensive strategy recorded the lowest specific energy consumption of 83.7 kWh\u002Fkg, enhancing system-level energy efficiency by diluting fixed costs. However, economic performance was highly market-dependent. Moderate management strategy maximized net profit (1115.55 CNY\u002Fm 2 \u002Fyear) in quality-sensitive premium markets, whereas Intensive management strategy was most effective in volume-driven mass markets. Sensitivity analyses further identified profitability crossover points under fluctuating electricity prices and market volatility, with the Moderate strategy showing stronger resilience in quality-sensitive markets. This research confirms that inflorescence management, tailored to market positioning and resource expenditures, is essential for sustained annual profitability in PFALs.","人工光植物工厂（PFALs）为粮食安全提供了一种变革性途径，但其经济可行性受到高生产成本和持续产量异质性的制约。尽管宏观环境控制保持一致，内源性遗传节律和微环境波动仍会导致花序异步重叠，而后者是产量变异的关键生物驱动因素。本研究旨在量化动态生殖负荷，并确定花序管理如何影响PFAL草莓生产中的生理表现、资源利用效率和经济产出。研究开发了同步活跃花序（SAI）指数，作为动态生殖负荷的定量指标，并通过生理评估表征其对源库竞争的影响。随后，这些关系被纳入StrawberryGRO-E技术经济分析建模框架，用以评估以最大SAI阈值为依据的三种管理策略：保守型（SAI max = 1）、适度型（SAI max = 2）和密集型（SAI max = 3）。结果表明，尽管较高的生殖负荷会带来个体生理代价，密集型策略仍实现了最低的单位能耗83.7 kWh\u002Fkg，通过摊薄固定成本提升了系统级能源效率。然而，经济表现高度依赖市场。适度型管理策略在质量敏感型高端市场中实现了净利润最大化（1115.55 CNY\u002Fm²\u002F年），而密集型管理策略在销量驱动的大众市场中最为有效。敏感性分析进一步识别了在电价波动和市场波动条件下的盈利交叉点，其中适度型策略在质量敏感型市场中表现出更强的韧性。本研究证实，根据市场定位和资源投入来定制花序管理，对于PFAL实现持续年度盈利至关重要。",null,"Computers and Electronics in Agriculture","2026-09-12T00:00:00Z","论文",10,false,81,{"impact":17,"substance":18,"depth":17,"authority":19,"freshness":20,"relevant":21,"comment":22},18,22,14,9,1,"核心期刊论文，提出植物工厂草莓花序管理与技术经济分析框架，方法新颖、数据扎实，对设施农业盈利模式有参考价值。",[24],{"name":10,"url":6},[26,27,28,29,30],"智慧农业","设施农业","植物工厂","草莓种植","技术经济分析",0,"10.1016\u002Fj.compag.2026.112405",{"doi":32,"openalex_id":34,"authors":35,"venue":10,"cited_by_count":31,"oa_url":6,"card":52,"direction":56,"ingested_from":58},"W7212359284",[36,38,40,42,45,47,49],{"name":37,"orcid":9},"Rongmei Fu",{"name":39,"orcid":9},"Wei Liu",{"name":41,"orcid":9},"Fulin Xia",{"name":43,"orcid":44},"Renhai Zhong","https:\u002F\u002Forcid.org\u002F0000-0001-8922-0138",{"name":46,"orcid":9},"K.C. Ting",{"name":48,"orcid":9},"Guichao Hua",{"name":50,"orcid":51},"Tao Lin","https:\u002F\u002Forcid.org\u002F0000-0001-9721-5363",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"构建草莓植物工厂技术经济模型，量化花序管理对生理、能效与利润的影响。","提出同时活跃花序指数SAI，结合生理评估与StrawberryGRO-E技术经济","集约策略能耗最低83.7 kWh\u002Fkg，但中等策略在优质市场净利最高。","农业人工智能与决策模型","可扩展SAI指数至其他果菜，耦合实时传感与市场动态优化决策。","openalex","2026-09-13T23:30:01.554192Z"]