Leading Greenhouse Automation

Arugga AI Farming develops the world’s first multi-purpose robotic solutions for efficient, sustainable farming, addressing the growing need for data-driven yield monitoring, labor shortages, pest and disease pressure.

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Line drawing of a robotic arm with a flower at the end, resembling the arm watering the flower.

Plant
Lowering

Automated
Pollination

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Monitoring

Rows of tomato plants growing inside a greenhouse with both green and red tomatoes on the vines, supported by metal and plastic structures.

Sustainable Pollination

Arugga AI Farming offers a tech-first solution that replicates buzz pollination, traditionally performed by bumblebees. Our robots operate without the delays, risks, or limitations associated with hives. While hive lifespans are short and bees may die or take days to adjust to new greenhouse environments, Arugga's robots begin pollinating from day one and continue without interruption. The result is a stable, cost-effective, and eco-conscious alternative that eliminates the complexities of managing live pollinators while improving yield outcomes.

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Automated Labor Efficiency

Greenhouse growers around the world face an ongoing labour crisis, with labour accounting for 30–50% of operational costs and staff turnover remaining high. Arugga’s robotic platform automates labour-intensive tasks, starting with pollination and expanding into operations such as plant lowering. In greenhouses where our robots have been deployed, growers have seen yield improvements of 3–7%, along with measurable reductions in labour dependency and workplace strain. Arugga’s solutions enable producers to improve margins while supporting long-term operational stability.

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Data-Driven Systems

Arugga AI Farming’s next-generation robots collect and analyse data from inside the greenhouse, allowing growers to monitor crop development, detect pests early, and access flower-level information in real time. The data generated supports more accurate yield forecasting, more efficient resource planning, and better decision-making across varieties and seasonal conditions.
Based on ongoing data collection, our platform reduces uncertainty and helps growers optimise for consistency, quality and profitability.

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