Research into agricultural climate operations

The European Union’s common market can Game changer for both sustainable agriculture and a stable food system. The transition requires at least two major efforts: A collective striving for more quality food and a commitment to achieving the intended climate effects on the land where the food is grown. Not an impossible mission, SAS believes. But it only works with data technology, such as the ‘agricultural climate machine’ from SAS.

It is possible through the common market: to make European agriculture more sustainable, but without undermining productivity. How? For example, with measures that support farmers, such as offering alternative production models. And it is possible with measures that keep products affordable for citizens and make the food system robust and sustainable. The measures necessitate new regulations, but sustainability in agriculture is multidimensional, and it must therefore be a dynamic regulatory method. Data technology can contribute to this desired dynamic. SAS offers the ‘Agriculture-Climate Operations Research’ solution for this, which includes the use of satellite-derived KPIs – such as carbon emissions and biodiversity – and a wide range of socio-economic data. SAS’s AI approach has already been successfully implemented around the world to achieve scale in the agricultural transition, improve verifications and detect agricultural subsidy fraud.

Achieve effective scale

Among other things, the European Union has set ambitious targets in the memorandum ‘From farm to plate’. But the farmers’ investments must be in line with these goals. The European Agricultural Fund for Rural Development is an instrument in itself for this: the fund supports more than 6.3 million agricultural entrepreneurs who can achieve ecological gains with the help of the European subsidy. Another great potential lies in the Farm Accountancy Data Network and Farm Sustainability Network databases: the economic and environmental data are used for a data-driven approach that maximizes the environmental benefit of each farm and landscape.

Cost-effective verification

It is important to be able to direct European investments to areas that are of great importance to the food problem. With software from SAS, process rules can be created for the areas of effort and with those rules an automated process can be designed that, based on data-driven means of production, can determine whether a company is entitled to subsidies.

The possibilities for verification via satellite images are special: for example, classification models based on satellite images can form a technology-driven regulatory basis for the Green New Deal. Satellite images can also be used to recognize agricultural results in the field. To complement this approach, SAS uses successfully deep learning, via an ‘eye in the sky’, where algorithms are trained to recognize pixels better and better, for example to classify the type of farm or the activity. That deep learning The tool also makes predictions easier, which means it can play a good role in European regulation.

Robust fraud detection

Finally, the risk of missteps and abuse of the CAP’s extensive subsidies is difficult to track without the use of computer technology. There is a need for more tracking and feedback than static regulation or manual intensive reporting can currently provide. Working with SAS can help strengthen technology-based assessments and train computer models that can quickly show what regulators need to know. In short, such analytical models make it possible to accurately verify and predict whether the numerous intended effects of climate-smart agriculture in the EU will be achieved.

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