Digitalisation and machine learning (or also called artificial intelligence) do not bypass pest control and already allow cost savings and scalability.
Date of origin: 2020
Author: Daniel Schröer
In contrast to conventional software, artificial intelligence learns independently and optimizes itself. The more data an AI can access, the better it can predict the future and the more accurate its results will be.
Boxes and traps are now equipped with sensors. In addition, digital monitoring systems (keyword "monitoring") are installed in warehouses and production facilities to monitor pests. These have several dozen sensors that collect data, which are then transferred to a system where they are evaluated. And this system learns from experience and derives future forecasts from this data - this is what makes it artificial intelligence.
Daniel Schröer - grew up with pest control
Daniel, 32 years old, from Münsterland, grew up with pest control and his parents have worked in the industry, among others at Biotec Klute, just like he did during the school holidays as a child. Daniel is mainly concerned with digital development, products and services at Biotec, and together with Oliver Klute he is responsible for the company's strategy, as he is the managing director at the sister company Futura. His focus is digitalization and he has a great passion for technology in every detail, but always through the customer's eyes and without compromising quality.