smartAKIS Dataset

The use of data mining to assist crop protection decisions on kiwifruit in New Zealand

Tree crops

Hill, M.G.; Connolly, P.G.; Reutemann, P.; Fletcher, D.

This study has demonstrated the potential usefulness of machine learning algorithms for extracting information from industry spray diary and pest monitoring data, enabling kiwifruit growers to predict the outcome of leafroller pest monitoring in summer. With monitoring costs at $50–60 a hectare, growers will save time and money using this method, even if it only predicts no-spray decisions.