Smartwell Showcases AI-Driven StrawberryCultivation Through Its Commercially Deployed Smart Agriculture Platform

Real-world deployment integrates AI crop growth models, environmental sensing technology, and automated greenhouse control systems.

Smartwell Technology Corp. (TSXV: SMWE) today highlighted the commercial application of its AI-driven strawberry cultivation solution, demonstrating how its smart agriculture platform organically integrates crop growth models, environmental sensing, data analytics, and automated greenhouse control systems within real-world controlled environment agriculture (CEA) settings.

Real Pain Points and Market Potential in Strawberry Cultivation

Strawberries are among the greenhouse crops that combine high added value with strong potential for large-scale cultivation. Compared with ordinary crops, strawberries are more sensitive to temperature, humidity, light, irrigation, nutrition, and pest and disease management — fluctuations in any one of these factors can affect fruit quality. Large buyers such as Costco and Sam's Club demand extremely consistent supply chain quality and yield, yet the high spoilage rates caused by non-compliant fruit under traditional cultivation methods disrupt market timing and ultimately affect growers' overall returns.

Figure 1 Strawberry Picking Garden, Beijing Xingyan Agricultural Cooperative（actualcustomer sites）

For Smartwell, AI-driven precision strawberry cultivation is not an isolated pilot project but a service segment where its controlled environment agriculture (CEA) platform is genuinely being brought to market. The company chose strawberries as one of its CEA platform applications because the crop combines high added value, demanding standardization requirements, large-scale cultivation, and strong commercial validation value. More importantly, related projects run by the company's China subsidiary have already been deployed across the Asia-Pacific region, providing a real-world foundation for replicating the platform across additional crops going forward.

Smartwell's Controlled Environment Agriculture Platform

Smartwell's controlled environment agriculture platform is not a simple greenhouse monitoring system, but an intelligent agricultural operating framework built around "sensing, AI models, decision-making, execution, and feedback." The system continuously analyzes crop status inside the greenhouse using sensors, environmental data, crop imagery, and growth-stage information, and applies the results of that analysis to guide irrigation, fertilization, ventilation, supplemental lighting, and other cultivation actions. This enables automated, precision cultivation that lowers labor, water, and fertilizer inputs while improving product quality and business returns, and drives continuous improvement in resource conservation, environmental performance, and ESG outcomes.

Figure 2  AI Optimal Crop Growth Model Training Platform

The core of this closed-loop architecture is not simply digitizing traditional experience, but making the AI model the "decision-making hub" of greenhouse cultivation. The model incorporates 173 influencing factors and more than 2,300 dynamic parameters, and is trained and optimized on more than 76 million crop growth data points and image samples. This enables the system not only to identify crop growth status, but also to make dynamic decisions and execution recommendations for different growth stages — for example, the strawberry model series focuses on the coordinated control of light, temperature, and nutrients during fruit ripening to produce fuller, sweeter fruit.

Project Implementation and Results

In traditional protected agriculture, growers typically rely on manual greenhouse patrols to gauge changes in temperature and humidity, manually adjust ventilation and supplemental lighting, schedule irrigation and fertilization by experience, and make manual corrections whenever readings such as air temperature, humidity, soil temperature and moisture, and CO₂ fluctuate. By contrast, Smartwell's approach on the strawberry project was to first deploy environmental monitoring equipment, high-definition intelligent imaging equipment, multispectral capture equipment, ventilation control equipment, lighting control equipment, automated irrigation equipment, and precision fertilization equipment within the greenhouse, then connect all of this equipment to the CEA system. The platform centrally collects and analyzes the data and automatically issues control instructions based on the strawberry plants' growth stage, enabling automated, precision cultivation driven by the AI optimal crop growth model.

Figure 3 Integrated Automated Irrigation and Fertilization Control Terminal

After the system went live, greenhouse operations changed markedly: temperature, humidity, lighting, irrigation, and fertilization management that once required repeated manual inspection is now continuously monitored and automatically adjusted by the system; localized corrections that once relied on experience-based judgment are now real-time decisions based on environmental data, crop imagery, and growth stage; and greenhouse management that once required manual, item-by-item operation has become a visualized, recordable, and traceable standardized process. For growers, this means fewer repetitive patrols, less manual adjustment, and less reliance on experience-based judgment, with more of the fine-grained management handled by the platform.

Figure 4 Controlled Environment Agriculture system

On the results side, follow-up assessments of strawberry cultivation at projects the company has completed and put into operation over the past three years (Client 1: Beijing Xingyan Agricultural Cooperative, August 2025, project value CAD 145,259.2; Client 2: Beijing Jinhuinong Agricultural Cooperative, August 2023, project value CAD 214,794.6; Client 3: Chongqing Lingli Intelligent Technology Co., Ltd., September 2023, project value CAD 353,000) indicate an average effective yield increase of approximately 16.7%, water savings of approximately 53%, fertilizer and pesticide savings of 23% to 28%, and a reduction in labor input of approximately 76%. Overall cultivation returns can improve by more than 26.6%, with a payback period of approximately 3 to 4 years. (Note: The above figures are based on Smartwell’s internal calculations and customer follow-up visits; results for other crops may vary depending on variety, environment, management level, and project configuration.)

Customer Testimonial [General Manager, Beijing Jinhuinong Agricultural Cooperative]

"Before we connected to the Smartwell system, we had to rely on daily manual greenhouse patrols to keep an eye on temperature, humidity, light, and irrigation, and adjustments often lagged half a step behind whenever the weather changed. Since the system went live, a lot of tasks that used to require repeated manual handling can now be monitored and automatically adjusted through the platform — our time spent on repeat inspections, manual light adjustment, manual irrigation, and manual fertilization has dropped noticeably.

A more visible change is that strawberry quality has become more consistent, fruit shape more uniform, and harvest scheduling easier to plan. Fluctuations that once directly affected downstream shipping and sales timing are now flagged and adjusted for in advance by the system based on the crop’s growth stage, making overall management steadier and costs more controllable. Based on how we calculated things in past years, our spend on labor, water and fertilizer, and repeat operations has come down — profit per greenhouse is now about CNY 20,000 (roughly CAD 4,000) higher than before we used the system. Each greenhouse covers about one mu (roughly 667 square meters): a greenhouse that used to sell for CAD 15,000 can now sell for CAD 17,500, after saving CAD 1,500 in water, electricity, fertilizer, and other input and labor costs.”

Comments from Smartwell's CTO

"Strawberries are just one commercial application within Smartwell’s library of crop models — over the past three years we have served a cumulative total of 5 companies growing strawberries. From the company’s perspective, what we’ve done isn’t sell a few environmental monitoring systems; it’s continuously deploy and operate, in real cultivation settings, an integrated smart-farming solution that combines ‘crop models + agricultural data + software platform + terminal execution,’ and effectively help our customers increase their returns."

Bringing Intelligent Agriculture to North America

Smartwell’s Intelligent Agriculture technology is designed to seamlessly integrate with greenhouse and Controlled Environment Agriculture (“CEA”) operations in North America. Building on our experience in AI-powered crop cultivation, environmental monitoring, data analytics and automated growing systems, we are able to provide solutions that can be adapted to the specific operational requirements of North American growers.

Our goal is to make advanced agricultural intelligence practical, accessible and cost-effective. Smartwell provides end-to-end solutions covering system design, technology integration, deployment and ongoing support, helping growers improve operational efficiency while reducing unnecessary costs and manual intervention.

To support our North American customers, Smartwell also provides local deployment and technical support, working directly with growers and agricultural operators throughout the implementation process.

Whether you are looking to improve an existing greenhouse operation, introduce AI-driven cultivation management, or explore a new CEA project, we would be pleased to discuss how Smartwell’s Intelligent Agriculture solutions can support your operation.

Interested in learning more? Contact our North American team at:xuhankun@smartwell.info

实景落地方案融合 AI 作物生长模型、环境感知技术与温室自动化控制系统。

Smartwell Technology Corp.（TSXV：SMWE）今日介绍其 AI 草莓种植解决方案商业化落地成果，展示公司智慧农业平台如何在实体设施农业（CEA）场景中，打通作物生长模型、环境感知、数据分析与温室自动化控制全链路。

草莓种植行业现存痛点与市场潜力

草莓属于高附加值、规模化发展潜力突出的温室经济作物。相较于普通农作物，草莓对温湿度、光照、灌溉、养分及病虫害管控极为敏感，任一环境指标波动都会直接影响果实品质。Costco、山姆会员商店等大型采购商对果品品相、产量稳定性要求严苛，而传统种植模式下残次果损耗率居高不下，扰乱供货周期，最终压缩种植户整体收益。

图 1 北京兴岩农业合作社草莓采摘园（客户实地项目现场）

对 Smartwell 而言，AI 草莓精准种植并非短期试点项目，而是其设施农业（CEA）平台规模化商用落地的标杆业务。公司选择草莓作为 CEA 平台核心应用品类，因其兼具高附加值、标准化要求高、可规模化推广、商业验证价值突出等多重优势。更关键的是，公司中国子公司相关项目已在亚太多地落地运营，为后续平台向其他作物复制推广积累完整实景落地经验。

Smartwell 设施农业平台

Smartwell 设施农业平台并非简易温室监测工具，而是一套以 “感知采集 —AI 建模 — 智能决策 — 设备执行 — 数据反馈” 为闭环的智慧农业运营体系。系统依托传感器、环境数据、作物图像、生育期信息持续解析温室作物生长状态，并依据分析结果指导灌溉、施肥、通风、补光等全套田间作业，实现全自动精准种植，降低人工、水、肥料投入，同步提升果品品质与经营收益，持续优化资源节约、环保指标与 ESG 绩效。

图 2 AI 作物最优生长模型训练平台

这套闭环体系的核心，并非简单将传统种植经验数字化，而是以 AI 模型作为温室种植的决策中枢。模型纳入 173 项影响因子、2300 余组动态参数，依托超 7600 万条作物生长数据与图像样本完成训练优化。系统不仅可识别作物长势，还能针对不同生育期输出动态调控方案与设备执行指令；以草莓专用模型为例，重点管控果实成熟期光、温、养分协同配比，产出果形饱满、甜度更高的草莓。

项目落地实施与实测成效

传统设施种植模式下，农户依靠人工巡棚判断温湿度变化，手动调节通风、补光设备，凭经验安排水肥作业；空气温湿度、地温、土壤湿度、二氧化碳浓度出现波动时，只能人工逐项修正。而 Smartwell 草莓项目落地流程为：先在温室布设环境监测设备、高清智能成像设备、多光谱采集设备、通风控制、光照调控、自动灌溉、精准施肥全套硬件，全部设备接入 CEA 平台。平台集中采集、解析全量数据，结合草莓所处生育期自动下发调控指令，依托 AI 最优作物生长模型实现全自动精准种植。

图 3 水肥一体化自动控制终端

系统上线后温室运营模式大幅革新：以往需要反复人工巡检管控的温光水肥，转为系统 24 小时持续监测、自动调节；依靠经验临时补救的田间管控，变为基于环境数据、作物影像、生育期的实时智能决策；逐项手动操作的温室管理，升级为可视化、可存档、可追溯的标准化流程。农户无需重复巡棚、人工逐项调试设备，精细化田间管理工作由平台承接。

图 4 设施农业（CEA）系统界面

公司近三年已交付投产项目跟踪评估（客户 1：北京兴岩农业合作社，2025 年 8 月落地，项目额 145,259.2 加元；客户 2：北京金惠农农业合作社，2023 年 8 月落地，项目额 214,794.6 加元；客户 3：重庆灵力智能科技有限公司，2023 年 9 月落地，项目额 353,000 加元）数据显示： 平均增产约 16.7%，节水约 53%，化肥农药用量减少 23%-28%，人工投入降低约 76%，综合种植收益提升超 26.6%，项目投资回收期约 3-4 年。 注：以上数据基于 Smartwell 内部测算与客户实地回访结果；不同品类作物受品种、地域环境、管理水平、项目配置影响，落地效果存在差异。

客户证言（北京金惠农农业合作社总经理）

“接入 Smartwell 系统前，我们每天必须人工巡棚盯控温、光、水肥，天气一变，设备调节总会滞后一步。系统投用后，大量重复人工操作全部交由平台监测自动调控，反复巡检、手动调光、人工水肥投放的工作量大幅减少。

最直观的变化是草莓品质稳定统一、果形规整，采收排期更容易规划。以往环境波动直接影响下游供货与销售节奏，现在系统可结合作物生育期提前预警、自动调整，整体种植管控更平稳、成本可控。对比往年核算数据，人工、水肥、重复运维开支显著下降，单棚年利润较上线前提升约 2 万元人民币（折合 4000 加元）。单棚占地约 1 亩（667 平方米）：往年单棚产值 15000 加元，如今扣除水电肥药、人工成本节约 1500 加元后，产值可达 17500 加元。”

Smartwell 首席技术官观点

“草莓只是 Smartwell 作物模型库中商业化落地的品类之一，近三年我们累计服务 5 家草莓种植企业。对公司而言，我们交付的不只是几套环境监测设备，而是在真实种植场景持续落地运营‘作物模型 + 农业数据 + 软件平台 + 终端执行’一体化智慧种植方案，切实帮助客户提升经营收益。”

智慧农业方案进军北美市场

Smartwell 智慧农业技术可无缝适配北美温室与各类设施农业（CEA）场景。依托公司在 AI 作物培育、环境监测、数据分析、自动化种植系统的成熟技术积累，可针对北美种植户的本地化运营需求定制适配方案。

我们致力于让前沿农业智能技术落地可用、性价比突出。Smartwell 提供全流程一站式解决方案，覆盖方案设计、技术集成、项目部署与长期技术运维，助力种植户提升运营效率，削减无效成本与人工干预。

为服务北美客户，Smartwell 配备本地化落地与技术支持团队，全程跟进项目实施，与种植主体深度协同。

无论您计划改造现有温室、引入 AI 智能种植管理体系，还是新建设施农业项目，均可沟通 Smartwell 智慧农业定制化落地方案。

如需进一步了解，可联系北美业务团队：xuhankun@smartwell.info