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AI-Testfield - Performance and Sustainability

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Provide performance qualifications of systems focusing on sustainability measurements, e.g., energy consumption by hectare and amount of fertilizer and herbicide by hectare.

Version: 1.9

  • arable farming
  • horticulture
  • greenhouse
  • tree crops
  • viticulture
  • livestock farming
  • food processing
  • test design
  • test setup
  • test execution
  • collection of test data
  • performance evaluation
  • provision of datasets
  • data augmentation
  • data analysis
  • physical system
  • software or AI model
  • data
  • Location: at User's Premises, in Poland
  • Offered by: L-PIT



Image of Service This service provides performance qualifications for systems with a focus on sustainability metrics such as energy consumption and input usage (e.g., fertilizers and herbicides) per hectare. It includes a comprehensive evaluation of the impact of artificial intelligence (AI) or robotic solutions on the efficiency and durability of products. The assessment encompasses performance reviews of the solution, including functional testing and accelerated durability tests in aging chambers. Additionally, the service investigates the system’s vulnerability to physical damage from external factors such as impacts, vibrations, extreme temperatures, and harsh environments. It also assesses the system's susceptibility to electromagnetic interference (EMI), which could affect operational stability. Furthermore, the service identifies potential design flaws or manufacturing defects that might compromise system reliability or lead to malfunctions. Overall, this qualification service ensures that systems are not only efficient and durable but also robust against various environmental and operational challenges, supporting sustainability in technology deployment.