Smart Farming describes the increasing digitalization of agricultural processes. The connection of devices, machines and systems is intended to make agricultural activities more efficient and easier. Often connection is achieved through the use of communication technologies (ICT).
Smart farming focuses particularly on automating regularly recurring tasks: For example, feed distribution for farm animals can be controlled via intelligent systems. The data is delivered digitally to the cloud, which the farmer can retrieve from his mobile device and thus control and monitor the processes. Also field operations can be another example. The activities can be taken over by sensors and drones and also controlled and monitored remotely.
In the context of smart agriculture, the term precision farming is also mentioned more frequently. But what exactly is the difference? Smart farming is mostly about replacing human labour with intelligent machines. The term Precision farming describes more the use of sensors to optimize existing processes: By monitoring environmental data, for example, the required amount of fertilizer can be determined with location accuracy.
The Internet of Things is essential to enable the monitoring, measurement and automation of agricultural operations. Through the intelligent use of machines or sensors, data is collected and passed on via mobile radio technologies. This is also referred to as machine-to-machine communication (M2M). The data collected can help farms reduce costs, make better decisions and increase efficiency.
The weather extremes in Europe in particular have led to yield losses in agriculture in recent years. Therefore, it is even more important to keep track of current weather conditions as well as expected rainfall. Early identification of soil that is too dry or too wet can help to react in time and safeguard crop yields. This is where weather stations can help with data collection, enabling predictive management that also saves resources and time. The weather station can communicate via the mobile radio network.
Both ground and aerial drones can be used in agriculture. By collecting visual data, the health of plants can be assessed, for example, in the context of pest control measures. Various parameters are determined, such as plant height. In this way, predictions can be made about the health of the plants as well as the expected yield.
In addition to hardware and software, you need a connectivity component to connect your smart farming 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.
If you are want to try out our connectivity offering for free, 1NCE For All is the right solution for you. You can try our free SIM card. 1NCE For All allows you to experience our services at no cost or future commitment.
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