Case studies

Colaborative innovations created by partners at the AgriFood Croatia.

Cloud based solution for analyzing the authenticity and composition of honey

It uses several data modelling, classification and machine learning methods for spectral data analysis and analytical algorithm generation.It is able to discern honey from other substances and discern other compounds that should not be present in real honey


Fishing tools are very widespread in the world’s fisheries and are used both in commercial and recreational-sport fishing. The problem with fishing tools, like most other tools, is that they catch non-target organisms in addition to the target ones. Caught non-target organisms, if they have not swallowed the hook, can often be detached and returned […]


Due to the lack of shellfish hatcheries in the Republic of Croatia, all breeders in the Republic of Croatia depend on the natural reception of fry. This case study will develop the pilot production of a floating pontoon with a circulation system for fry pre-growth – FLUPSY. This pontoon would enable sustainable fry production. After […]


The use of single-use plastic in the mussel farming process represents a major environmental problem. Namely, on average, for each kg of mussel, a minimum of 15 cm – 20 cm of disposable tubular net is used, and that with only one transplant per year. In the long term, from an ecological point of view, […]

Smart fish trap

Smart fish trap implies the technical improvement of the fish trap as a fishing tool with the aim of solving some of its shortcomings in order to improve its properties for more selective fishing of target species and to reduce its negative impact on the environment. Smart fish trap is a new technical solution for […]

Spectrometric technology for oyster quality assessment on-site (SOQA)

Approach uses preventative oyster testing on-site with NIR spectrometry in combination with machine learning and advanced data analysis techniques. The result is a service for rapid on-site assessment of oysters by scanning oyster flesh and uploading the data to a SaaS platform. The solution helps farmers assess oyster quality, growth conditions, evaluating potential risks.