February 16th, 2026

At QuickTrials we are constantly looking for ways to make your life easier and improve the accuracy and consistency of field trials. Here is a preview of some exciting AI features that we’re working on, which open up new possibilities for capturing trial data.

AI-powered measurements
Using cutting edge AI models QuickTrials can automatically fill in certain measurements from photos of the plot or plant. Instead of entering certain types of data, field staff will be able to take a photo and let AI detect and calculate the resulting values. Some examples of how this can be used are:

Canopy Cover Calculation

Using aerial or ground-level images to analyse the extent of foliage coverage over soil. Assess plant density, growth uniformity, and potential yield impacts based on canopy cover calculations.

Plant and Fruit Counting

Close-up or overhead images of plots to detect and quantify individual plants, seedlings, flowers, or fruits. Enables precise yield predictions, stand establishment evaluations, and variety performance testing.

Nutrient Deficiency Diagnosis

Close-up leaf images in uniform lighting to recognise leaf discoloration from nutrient shortages. It can be used in soil fertility trials or to optimise nutrient applications.

Disease and Pest Detection

Macro shots of leaves, stems, or fruits showing spots, wilting, or insects to identify visual symptoms of certain diseases or pests. Supports treatment efficacy trials, early intervention, and resistance breeding assessments.

Weed Identification and Density Mapping

Wide-angle field images or drone images capturing weeds among crops at different growth stages to classify weed species and estimate their coverage. Aids herbicide efficacy studies, weed management strategies, and integrated pest management.

Plant Growth Monitoring

Sequential side-view or top-down images of the same plots at regular intervals to track metrics like height, leaf area, or biomass over time. Evaluates crop development in trials, fertilizer responses and environmental stress effects.

Harvest Readiness Assessment

Targeted photos of fruits, grains, or pods during late growth stages to evaluate crop maturity based on color, size, or ripeness indicators. Used to optimise harvest timing, quality assessments or calculate metrics like post-harvest loss.

We’re exploring these and other ways you can use photos captured in QuickTrials together with our AI capabilities to augment your trial data. This approach helps to reduce some of the guesswork and human error, while providing you with additional data points and metrics for comparison.

There are more ways we can use our AI capabilities so let us know if you have a particular need or idea you’d like us to explore. We have more AI-powered features coming and always like to hear your feedback.

Best trial management software 2026

QuickTrials has been recognised as the Top Agronomic Field Trial Management Software in 2026! 🥇🌟 We’d like to give a big thank you to Agri Business Review for this amazing award. It motivates us to work even harder for our customers and fuels our mission to transform field trials with powerful software and compelling AI!