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Artificial intelligence
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Fault Detection in Sugarcane Crops using AI
It involves the use of artificial intelligence algorithms to analyze data from sensors, drone or satellite images, automatically identifying areas with problems, such as planting failures, diseases, or water stress.
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Planter Line Soil Compaction Map
Generated from sensors installed in the planting lines, which monitor the pressure exerted on the soil during planting. This map identifies crop compaction, predicting productivity and the need for management practices to improve soil quality and ensure adequate crop development, avoiding problems such as reduced productivity.
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Smart Spraying with AI
It uses artificial intelligence algorithms to automatically identify weeds, pests or specific areas that need treatment in a crop. Sensors and cameras detect conditions in real time, and AI adjusts the application of agricultural pesticides precisely, reducing the use of chemicals, saving resources and minimizing environmental impacts, while improving control efficiency.
Sensors
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Custom Load Transducers
These are sensors designed to measure specific forces or loads according to the needs of a particular application. They convert the applied force into an electrical signal, allowing accurate measurements in unique environments or conditions, such as in agricultural machinery (tractors, sprayers, planters...), where standard sensors do not meet the design, capacity or space requirements.
Countertop Solutions
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Test bench for validation of tractors, wheel torque simulator using dynamometers
This dynamometer test bench is designed to evaluate tractor performance under controlled conditions. The dynamometer applies loads to the wheels, replicating the traction and drag forces that the tractor would encounter in the field. This allows torque, power, and efficiency to be measured, ensuring that the tractor (or other agricultural machinery) meets performance requirements before it is used in real-world operations.
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Validation bench for hydraulic systems of agricultural machinery (hydraulic control, block and connections)
Used to test and evaluate components such as hydraulic controls, blocks and connections. It simulates real operating conditions, allowing the resistance, tightness, flow and performance of hydraulic systems to be checked under different pressures and loads. This ensures that components meet quality and safety standards before being integrated into agricultural machinery.
SCADA
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Supervision System
TEG uses the Ellipse supervisory system, a robust solution for managing and monitoring various industrial processes, enabling fast and efficient decisions. TEG adapts the tool to meet the specific needs of each client, creating a centralized and integrated data environment that optimizes process management and control.
