Smarter orchard management through autonomous technology
The Handsfree Orchards project focuses on improving fruit production through the use of autonomous tractors equipped with artificial intelligence (AI). This technology enables precise monitoring of each tree's growth and health, making orchard management more efficient and sustainable.
Background of Use Case 7
Autonomous tractors for smart orchard management
The autonomous tractors, equipped with sensors and AI models, enable more efficient use of resources and improve insights into crop health. The project aims to establish fully hands-free orchard management, where autonomous machines independently carry out tasks such as pruning and harvesting. This technology paves the way for a more sustainable and economically efficient production system, strengthening the competitive position of Dutch fruit growing.
"Autonomous orchard management increases yields and reduces the sector’s reliance on seasonal labor."
Public summaries of Use Case 7
Sensor-driven optimization of fruit cultivation
Contribution to the ecosystem and the sector
Smarter and more sustainable fruit cultivation
The use of autonomous machines and AI models makes fruit cultivation less dependent on labor and leads to better yields through precision management. The combination of sensors and data-driven models enables more targeted interventions and reduces resource waste. As a result, production becomes more efficient and the environmental impact is minimized.
Deliverables Use Case 7
Better yields and more efficient management
Development of autonomous tractors for pruning, harvesting, and crop management
Integration of sensors and AI models for precision management
Testing phase across various fruit-growing environments
Optimization of production processes and increased yields
Added value for Human Capital
Less seasonal labor, more digital expertise
The use of autonomous tractors reduces the need for seasonal labor. At the same time, managing AI models and calibrating sensors requires new digital skills. Growers learn how to leverage data-driven insights for improved yield forecasting and more efficient orchard management. This combination of technical knowledge and agricultural expertise makes growers less dependent on external labor and strengthens their position in the market.
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