Smartwell Showcases AI-Driven Strawberry Cultivation Through Commercially Deployed Smart Agriculture Platform

September 3, 2026 — Leads & Copy — Smartwell Technology Corp. has highlighted the commercial deployment of its artificial intelligence-driven strawberry cultivation solution, showcasing how its smart agriculture platform integrates crop growth models, environmental sensing technology, and automated greenhouse control systems in real-world controlled environment agriculture settings.

The company's platform is designed to address the specific challenges of strawberry cultivation, a crop that is highly sensitive to fluctuations in temperature, humidity, light, irrigation, nutrition, and pest management. These sensitivities can impact fruit quality, and inconsistencies disrupt market timing and affect grower returns, particularly for large buyers demanding consistent supply chain quality and yield.

Smartwell's AI-driven precision strawberry cultivation is not a pilot project but a service segment where its controlled environment agriculture (CEA) platform is being brought to market. The company selected strawberries due to their high added value, demanding standardization requirements, potential for large-scale cultivation, and strong commercial validation value. Projects utilizing this platform have already been deployed across the Asia-Pacific region by Smartwell's China subsidiary, establishing a foundation for expansion to additional crops.

The Smartwell CEA platform functions as an intelligent agricultural operating framework encompassing sensing, AI models, decision-making, execution, and feedback. It continuously analyzes crop status using sensors, environmental data, crop imagery, and growth-stage information. This analysis guides automated and precision cultivation actions such as irrigation, fertilization, and ventilation, aiming to reduce labor, water, and fertilizer inputs while improving product quality and business returns. The system also contributes to resource conservation, environmental performance, and ESG outcomes.

At the core of the system is an AI model that serves as the decision-making hub for greenhouse cultivation. This model incorporates 173 influencing factors and over 2,300 dynamic parameters, trained on more than 76 million crop growth data points and image samples. It enables the system to identify crop growth status and make dynamic decisions and recommendations for different growth stages, with a specific focus on the coordinated control of light, temperature, and nutrients during strawberry fruit ripening to enhance fruit fullness and sweetness.

In contrast to traditional protected agriculture, which often relies on manual greenhouse patrols and experience-based adjustments, Smartwell's approach involves deploying a suite of integrated equipment including environmental monitoring systems, high-definition imaging equipment, multispectral capture equipment, ventilation and lighting control systems, and automated irrigation and fertilization equipment. All this equipment is connected to the CEA system, which centrally collects and analyzes data, issuing automated control instructions based on the strawberry plants' growth stage.

The implementation of the system has significantly altered greenhouse operations. Tasks such as managing temperature, humidity, lighting, irrigation, and fertilization, which previously required repeated manual inspection and adjustment, are now continuously monitored and automatically adjusted. Real-time decisions are based on environmental data, crop imagery, and growth stage, transforming greenhouse management into a visualized, recordable, and traceable standardized process. This reduction in manual labor and reliance on experience-based judgment allows growers to focus less on repetitive patrols and more on overall strategy.

Follow-up assessments of strawberry cultivation at completed projects over the past three years show an average effective yield increase of approximately 16.7%, with water savings of about 53% and fertilizer and pesticide savings ranging from 23% to 28%. Labor input has been reduced by approximately 76%. Overall cultivation returns have improved by over 26.6%, with an estimated payback period of three to four years. These figures are based on Smartwell's internal calculations and customer follow-up visits, with results potentially varying for other crops.

A general manager from Beijing Jinhuinong Agricultural Cooperative noted a significant reduction in time spent on manual tasks, improved strawberry quality consistency, more uniform fruit shape, and easier harvest scheduling. The system's ability to flag and adjust for crop growth stages in advance has made overall management steadier and costs more controllable, leading to an estimated profit increase of approximately CNY 20,000 (roughly CAD 4,000) per mu (667 square meters) compared to previous years. The sale price per greenhouse has also increased, even after accounting for savings in input and labor costs.

Smartwell's CTO stated that strawberries are one of several crop models within the company's offerings. Over the past three years, Smartwell has served five companies growing strawberries. The company's focus is on continuously deploying and operating an integrated smart-farming solution that combines crop models, agricultural data, a software platform, and terminal execution in real cultivation settings to effectively help customers increase their returns.

Source: Smartwell Technology Corp.