Changed consumer habits that demand better, healthier and more sustainably grown food are driving one of the major changes in usage of crop protection products in decades. Transition towards using softer chemical and biological crop protection dramatically shortens optimal application window and require far better understanding of the site-specific pest pressure and future development of the pest population. At the same time, an area wide overview is needed in order to understand how pest population in the surrounding area will impact specific locations. In the presentation we will demonstrate, how using networks of automated traps coupled with machine learning based predictions are used in different crops in different parts of the world. We will also demonstrate the savings that such approach brings to different stakeholders.
