Image processing system for automated classification date fruit

Saudi Arabia is one of the most important countries in the world in the production of dates, with an estimated number of palms in the kingdom about 21 million trees, and estimated the number of items about 400 products. Postharvest losses in handling and processing and the increased demand for food products of high quality and safety Requires a search for methods more accurate, fast and logically for quality determination of food and agricultural products. A first and an important step in the postharvest chain is sorting and grading of harvested produce. Dates are harvested at different levels of maturity that require different processing before the dates can be packed. Manual sorting and grading are based on traditional visual quality inspection performed by human operators, which is tedious, time-consuming, slow and non-consistent. This word presents a computer vision system based on image processing for classification date fruit (Khalas Variety) according to color and size. Based on feature extraction with in image it classifies dates into three color categories and four size categories. This system able to classification dates into ten grades according to color and size. The results showed that the used system in classification dates is more efficient, precise, fast and low cost.