The Background
As crop production becomes more complex, growers need faster, more reliable ways to identify plant stress and make informed management decisions.
Through the Ontario Centre of Innovation’s (OCI) Technology Access Program, this project was launched to independently validate the CredoSense handheld leaf-chamber system and AI prescription engine. Conducted in partnership with Vineland Research and Innovation Centre (Vineland), the project aimed to determine whether the CredoSense system could accurately diagnose crop stress and deliver practical, action-ready recommendations under both field and controlled conditions.
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The Result
The CredoSense system successfully met its validation objectives. In applied field trials involving apple, field tomato, and wine grape production, Vineland’s farm management team confirmed that CredoSense stress identification and AI-generated recommendations were satisfactory for operational decision support. In a controlled indoor laboratory trial using potted bean plants, the CredoSense system detected plant stress with greater than 95% accuracy.