By “twinning” wool harvesting farms, monitoring weather conditions and simulating future events that could accurately predict a farm’s productivity every single month, digital twin technology will aid farmers in using the data that is being generated in order to predict the best wool harvesting times. This will help farmers achieve optimal wool quality which will have a direct positive impact on the quality of textile and cloth that is being produced.
The same simulation can be created by twinning animals (e.g. sheep that produce wool) themselves. The quality of yarn (a thread that is used to manufacture textiles) needs to meet strict quality standards in order for it to make its way towards the stage of manufacturing. A huge percentage of collected wool or cotton that is used to produce yarn gets discarded due to damage or low quality. By successfully utilizing digital twin technology, we could create digital replicas of the livestock itself. This would help us track what times of the year, weather conditions, illnesses or other factors that determine product quality are deteriorating the item. After gathering this data, farmers could then have the power to start fixing the situation by making necessary changes to farm environment, working towards increasing the well-being of animals and doing everything that is necessary to reduce the amount of low-quality material the livestock produces.
One of the biggest factors that determine the productivity of a textile factory and the number of goods that it produces every year, is plant health. For instance, in order to harvest cotton, farmers have to determine the most optimal time of the year it needs to be harvested in order to retain the quality and thickness of the cotton. This can be quite tricky to determine because if there is a huge plant illness or virus that is deteriorating the crops, the amount of cotton that will be produced will be very limited and the quality of the material itself will be poor. Things like viruses and illnesses will be easily prevented using digital twin simulations. By simulating every single plant in the farm field and constantly monitoring their health, cotton producers will be able to use data to simulate the future and how the plants will act during specific weather conditions.
By successfully implementing digital twin technology we will be able to skyrocket textile factory production and efficiency by successfully monitoring crop and livestock health, simulating the future to avoid problems and gaining valuable, real-time data that will keep us updated on the overall farm progress.
The textile industry is experiencing drastic technology shifts in the overall processes how companies run their factories – take part in this exciting revolution and learn how the big leaders are implementing virtual twin by attending our private event here.