Thank you very much. In which case, I’ll try and rapidly do it. I had a wonderful visit—I think it was about two years ago, maybe three years ago—to Harper Adams University, the National Centre for Precision Farming. Tremendous work has been done there in their agricultural engineering innovation centre, and you will see the application of this, the big data, the internet of things. [Interruption.] You will see—okay—the strange high-tech end of this, with robotic machines with nobody on them working their way up the fields, individually singling out weeds to apply the right treatment to, individually applying nutrients in certain areas as well—very cost-effective, and using the technology that’s currently available. That’s why I say that, actually, some of the innovation within this should actually be done not only within Wales but actually across the borders, sharing that collaboration across universities and others right across the UK. We have the ability in Wales to do this, and also by sharing our know-how elsewhere.

You look at the European-funded Copernicus satellite system and the ability that that has got now for exactly what Andrew R.T. Davies was saying: that we can zone down onto individual farms, not just the hectares and the acres, but the inches, in terms of application of fertiliser and so on, and to sustain certain crops. The GaugeMap is an interactive map, using open data, which provides updates on river levels and flows and groundwater data across England and Wales. Plantwise: a global programme using open data, which is something we haven’t touched on today, to help farmers lose less of what they grow to crop pests and diseases by providing an online and offline gateway to diagnostics, pest tracking and best practice in farming.

All of these are possible, but we do have challenges. I’m keeping my eye on you, madam deputy speaker, just to make sure that you don’t suddenly shout me down. There are challenges. One of those that’s been identified is that there are very few data scientists or persons who know how to create and execute the algorithms necessary for analysing these large amounts of data. That’s an area that we can definitely lead in, as Lee Waters was saying. There’s often a common mismatch in the scale, precision and accuracy of data coming from different sources. Now, this mismatch can create an erroneous picture of what’s actually happening in different fields. And, of course, big data need to be quality-controlled before they’re used in these algorithms. If this is going to be smart farming, let’s make sure that the inputs are as good as the outputs in the actual field.

So, there’s far more that I could say, but I know that time is running out. I do want to just flag up the Welsh Government’s open data plan, which could contribute to this; the Atlas of Living Wales and the national biodiversity network, which could contribute to this within Wales; the Lle geo-portal, a partnership between Welsh Government and Natural Resources Wales—it’s a hub for data and information gathering on a range of topics, mainly around the environment; and more and more and more.

This has been a cracking debate, with a great deal of consensus. Let’s grab the opportunity here in Wales, but also grab the opportunity in working in collaboration with people right across the UK. Diolch yn fawr.