Salmon farming is by its nature an operation with significant uncertainty along several axes involving a number of risk factors (sea lice, disease, low oxygen, etc) that all can have a major impact on production. Towards the end of the production cycle stock value is at the highest level. At this point fish density will normally also be high, which reduces safety margins related to environmental factors like temperature and oxygen levels. High average fish weight implies increasing physiological challenges to individual fish with corresponding increase of mortality risk, especially in relation to operations like sea lice treatment. Optimal harvest planning must bring all these elements into consideration, along with downstream dispositions like wellboat availability, harvesting capacity, market demand development. Harvest planning involves important decisions with high potential impact on profitability and are based on complex considerations. Paradoxically short term harvest planning is today performed manually supported by internally developed spreadsheets. We aim to develop a decision support tool for analyzing potential risk related to alternative operational dispositions, and for providing specific and precise support for optimal harvest planning.
Project leader: Penelope Melgarejo
Institution: OPTIMEERING AQUA AS