Smart farming improves farming methods by using digital twin technology in conjunction with sensors, IoT devices, and big data analytics. It entails employing real-time data to monitor and manage livestock and crops more effectively.
Consider a dairy farm, for instance, where cows are outfitted with sensors that track their health around the clock. This information is entered into a digital twin model, which helps save time and money by anticipating possible health problems before they become expensive.
How Does Smart Farming Work?
Digital twin-powered smart farming involves more than gathering data; it also involves interpreting it and using it to make accurate, well-informed decisions.
This is how it operates:
1. Real-Time Monitoring:
With the help of smart farm apps and digital twins with IoT sensors, farmers may consistently track environmental factors like soil moisture, temperature, and livestock health.
After that, the data is transferred to the digital twin platform, which assists with operational optimization by simulating the farm's conditions.
2. Predictive Decision-Making:
Digital twin solutions allow for proactive decision-making rather than responding to issues as they emerge. Farmers can anticipate insect outbreaks or disease patterns before they happen.
For instance, they do this by protecting the health of their crops or livestock. This minimizes waste and the need for reactive treatments.
3. Optimized Resources:
Digital twins in product development and other smart farm innovations help efficiently use labor, water, and nutrients.
Knowing the specific requirements of every area of the farm can help farmers maximize efficiency, lower expenses, and boost productivity.
Example of Smart Farming
One of the prime digital twin examples in agriculture is Lely, a renowned Dutch company specializing in innovative agricultural solutions. Lely employs cutting-edge technologies, such as digital twins and IoT sensors, to track livestock's health and boost dairy production's productivity.
The Lely T4C (Total Farm Management) system is one example of how digital twins optimize dairy farming operations. This technology gathers information from cow sensors and incorporates it into a digital twin to offer insights into the animals' health, milk production, and the farm's general operation.