This thesis aims at performing a systematic review of the existing evidence regarding the effects of agriculture 4.0 techniques, smart-agriculture and IOT-tools applied to the agricultural sector, on relevant environmental, climatic and productivity impacts. The literature synthesis will be the basis of a scientific publication in collaboration with the Joint Research Center of the European Commission.

The work includes the screening of existing primary and secondary scientific literature, using artificial intelligence tools to automize and speed-up the screening of relevant literature records. The obtained data will constitute the basis for EU-wide modelling of the potentials of smart/precision farming to contribute to the European Union’s goals in the context of sustainable agriculture and climate action.

The students will learn about methods for knowledge synthesis, data management and scientific evidence analysis. This work is suitable for students with an engineering or non engineering background, and for a single student or for a group of two students. Backgrounds of coding skills (e.g. R, Python) are preferred.