Adoption of AI technologies in horticulture — slides

July 2020 | Dr Zygmunt Szpak | APAL webinar presentation

This webinar presentation introduces artificial intelligence in a horticultural context and explains where machine learning and computer vision can contribute to commercial decision-making.

The emphasis is on practical adoption rather than AI as an abstract technology. Horticultural applications depend on suitable data, clearly defined problems and systems that can operate reliably under real orchard conditions.

Potential uses include image-based assessment, automated measurement, classification and decision support. The presentation also highlights the importance of data quality, validation and understanding the limitations of a model before relying on its outputs for production decisions.

The slides are intended to help growers and industry participants evaluate AI tools critically and identify where they can genuinely improve efficiency or information quality.