The conservation of genetic diversity in ex-situ repositories such as gene banks is the most important task in ensuring food security. When properly targeted and sampled, gene bank collections expeditions capture a wide range of genetic diversity across different geographical regions. Before a collection expedition is undertaken, a gap analysis is strategically used to detect missing collections in the gene bank and associated herbaria. The planned expedition may target regions not previously explored; accessions that need re-collection or species previously collected with poor voucher specimens; and in exceptional circumstances, herbarium specimens with missing seed samples at the gene bank. The genetic diversity of the gene bank accessions therefore, can be compared by looking at current sampled locations and predicting geographic distribution of the species based on what is known about conditions in existing sampling locations. However, this has been hindered by a failure to utilize gene bank and herbarium databases to guide germplasm collection expeditions. The Kenya Agricultural and Livestock Research Organization (KALRO) through the Genetic Resources Research Institute (GeRRI) has built up its collection of plant germplasm through a series of expeditions, to add to the already banked 1700 crop species and their wild relatives from different parts of Kenya. Sorghum, finger millet, maize, beans and rice form the largest collections in GeRRI. To successfully achieve genetic diversity goals set by GeRRI, the collection team uses a Geographic Information System (GIS) tool to support planned missions thus allowing researchers to explore potential locations for each collection. As a rule this is supported by the collection of a geo-referenced voucher specimen and passport data. This presentation discusses benchmarks, standards and methods used to identify collection gaps of these top five genera within Kenya.