The purpose of the AFSI Crop Composition Database (AFSI CCDB) is to provide information regarding the natural variability of nutritional composition in non-genetically engineered (also referred to as non-genetically modified) varieties of crops. The database contains 1.5 million data points representing 231 compositional components (analytes) in 17 crops including apple (Malus domestica), canola (Brassica juncea), canola (Brassica napus), field corn (Zea mays), sweet corn (Zea mays), cassava (Manihot esculenta), cotton (Gossypium hirsutum), eucalyptus, mustard (Brassica juncea), potato (Solanum tuberosum), red pepper (Capsicum annum), rice (Oryza sativa), sorghum (Sorghum bicolor), soybean (Glycine max), strawberry (Fragaria ananassa), sugar beet (Beta vulgaris), and sugarcane (Saccharum officinarum).

Data are derived from samples of numerous crop varieties from multiple seasons and were produced in controlled field trials using standard commercial practices at various locations throughout the world. A search of the database allows the user to generate mean levels and ranges of nutritional components in various crop species.