The fight against unpleasant animals can be very laborious. Yet the applications of pest control are extremely diverse: When talking about pests, rodents such as mice and rats are the first to mind. Especially in urban areas, the fight against rats is becoming more intense, as the population of rodents is constantly increasing.
But pest control is also an important part of the work in agriculture. The problem there usually shows itself in the fact that insect populations, for example, have a massive negative impact on crop yields.
Regardless of which creature you want to stop, the right approach is required. The solution should contribute to the containment of the pests, but at the same time keep efforts as low as possible and be cost-efficient.
The Internet of Things (IoT) opens up new ways and possibilities to optimise the process of pest control. In concrete applications, human efforts can be reduced and in some cases even the use of environmentally harmful substances can be reduced.
By digitising existing solutions for pest control or by establishing new digital control measures, the advantage is that large amounts of data can be transferred from the connected device to software via the mobile network. For the consumer, the data is visible in the software via a user interface. By collecting large amounts of data and analysing various parameters, pest control can not only be made more efficient but also, for example, poisons and pesticides can be used in a more targeted manner. The two application examples show exactly how this works and what digital pest control can look like in detail.
The control and containment of the spread of pests such as rats is usually associated with enormous expenditure. In Germany, for instance, so-called risk reduction measures (RMM) demand that rodent traps must be regularly checked and maintained. The solution of a digital rodent trap can already help here. Thus, the trap is equipped with a sensor (hardware) and sends an alarm signal via the cellular mobile network in case of infestation. The NB-IoT mobile radio standard is often suitable for this. This is designed for machine-to-machine communication (M2M) and optimised for the transmission of small amounts of data. The data is delivered to software and the alarm itself is displayed in a user dashboard. The software can usually be accessed via mobile phone or computer. This means that a staff member no longer has to make regular inspection rounds, but can target a rodent trap when needed. By collecting data volumes, it is also possible to determine precisely where and under what circumstances pest populations are particularly active.
The containment of insects and rodents is particularly important in agriculture. They can infest crops or spread pathogens. Without the containment and control of pests, they can have a negative impact on the yield or the health of the plants.
The Internet of Things can help make pest control easier. By collecting various data, predictions can be made about which population is particularly active and when. The farmer can therefore plan the use of pesticides in a more targeted way. All this is possible through the use of digitally networked solutions. For example, smart devices are set up in the field that record the movements of small animals with the help of a camera. The type of pest is defined afterwards and the number and time are documented. The data is forwarded from the solution to the software via the mobile network. Via a user interface, the farmer has an overview of the pest activities from his mobile device at all times.
In addition to hardware and software, you need a connectivity component to connect your pest control solution so that the data collected by your hardware can be reliably transmitted to your software. We offer the optimal solution for this with the 1NCE IoT Flat Rate.
1NCE offers a whitepaper about Environmental Monitoring for download. This guide introduces you to the benefits of IoT connectivity for your environmental monitoring products and solutions. The document refers to environmental sensors in general, but also to the field of agriculture.
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