Can ‘machine learning’ help predict dairy cow intakes?

Featured ArticlesCan ‘machine studying’ help predict dairy cow intakes?09 February 2022 This is a query that scientists at AFBI have been making an attempt to reply inside a mission which is inspecting ‘precision feeding’ approaches for dairy cows.Being capable of enhance the accuracy with which we will predict the intakes of dairy cows, both for the entire herd, or for particular person cows, has been a key analysis goal for a few years. If we’re capable of present farmers and nutritionists with a extra correct estimate of how a lot meals cows are consuming, this can help them enhance the accuracy with which cows are rationed, and has the potential to cut back the usage of pricey concentrates, and help reduce the environmental impression of dairy farming.
‘Machine studying’ is a sort of synthetic intelligence which entails computer systems discovering how they will carry out duties with out being explicitly programmed to take action. This entails the pc creating algorithms that enhance robotically by way of expertise, much like the way in which that people be taught to enhance the accuracy of issues they do.
The analysis has concerned making use of the strategy, along with a spread of different mathematical modelling methods, to dairy cow consumption information derived from current research undertaken at AFBI. These research all concerned early lactation excessive yielding dairy cows which have been provided grass silage based mostly diets, and wherein intakes have been measured utilizing a feed consumption monitoring system.
Initial outcomes have demonstrated that the strategy is promising, so the subsequent step is to broaden the dimensions of the dataset getting used within the evaluation. To obtain this, the analysis crew at the moment are making ready a dataset from 40 long run dairy cow experiments which have been carried out over the previous 25 years.
Dr Masoud Shirali, a geneticist and lead scientist concerned within the work explains that ‘fashionable approaches similar to machine studying supply many alternatives throughout a variety of analysis areas, and this mission has offered us with the chance to use the strategy to the very sensible problem of predicting dairy cow intakes. They are hopeful that working with a a lot bigger dataset will permit us to enhance the accuracy with which we will predict intakes’. This work is an element of a bigger mission which is being co-funded by DAERA and AgriSearch.

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