Dairy drones on the horizon
Researchers at Teagasc, UCD and DCU, funded by the VistaMilk SFI Research Centre based in Teagasc, Moorepark, Co Cork, are currently testing the accuracy of physical and lab-based observations of grass growth against new image-analysing, machine-learning models based on photos captured by drones and static cameras.
The aim is to produce predictive data of the yield and composition of grass growth on pastures. This innovation is designed to help farmers determine the best time and which areas to allow their cows feed, which can improve dairy production and promote the well-being of cattle.
To date, the predictive models based on a simple photograph are resulting in 95% accuracy rates when compared to physical observations.
Deirdre Hennessy, VistaMilk Funded Investigator and Senior Teagasc Research Officer, said that grass and pasture management is vitally important for the success of Ireland’s €5bn dairy industry.
Providing farmers with information easily and quickly
Ms Hennessy said: “It’s not as simple as letting the cows out to eat where and when they want. Farmers are constantly walking their fields monitoring grass growth, paying particular attention to its yield, composition, and its grazing suitability. They must determine when there are adequate quantities available to feed their animals while making sure they avoid having too much grass, leading to waste and poor quality or potentially under grazing”.
“This is very labour intensive and time-consuming, and the research that VistaMilk is funding is designed to provide them with that information more easily and quickly”, Ms Hennessy continued.
Farmers who use PastureBase Ireland are already reducing the need to purchase supplemental food to feed their cattle, improving the cows’ wellbeing. It is estimated that every tonne of extra grass grazed is worth in the region of €172 to a farm, which adds up to a substantial amount of money over the course of approximately 300 days of grazing each year.
“Image-analysing, machine-learning algorithms will work with pictures captured by drones – and even satellites in the future. The potential of what we can do in will only be limited by our imaginations. We can theoretically look at sending out drone swarms that will return their information to a base in a matter of minutes, giving farmers in a whole county the results that will allow them to make better business decisions while farming more sustainably”, said Ms Hennessy.
“I personally think that would be some achievement and a sight to see, if and when it becomes viable. For now, we will continue to prove that our drone captured imaging algorithms work and will leave the scaling up to the next generation of researchers that are following closely behind.”
Irish dairy some of the best in the world
The quality of Irish dairy is, in large part, due to the fact that Irish cows are grass-fed. Currently 5,000 Irish farmers are using a grassland management app called PastureBase Ireland to input their physical observations of grass growth and get results by the time they are finished walking their land. However, there are many factors that can skew the outcomes, including, for example, the subjectivity of observations made by different people.
Ms Hennessy added: “Knowledge of how your grass is growing and what else is in your paddock, such as clover, can make a huge difference to a farm’s profitability and sustainability. The imaging analysis work that is ongoing in VistaMilk and with our partners will make the process more accurate and automated, thereby making it easier for the farmer to make timely and correct decisions on how to manage their fields.”
The improved understanding of the mix of grasses and other plants like white and red clover are reducing the requirement for artificial fertilisers and improving quality of winter silage. All the while resulting in increasing milk yields and quality of the dairy manufactured in Ireland worth an estimated €5bn to the economy.
Ms Hennessy concluded: “The ultimate goal is to create an app that uses a combination of physical observations, weather predictive models and automated grass imaging that will save time and money for the farmers. While we are not there quite yet the future is just around the corner.”
