APPLICATION OF FUZZY LOGIC IN SMART AGRICULTURE TO RECOGNISE TOMATO FRUIT RIPENESS

Abstract

The tomato is a fruit that is widely used in modern life for cooking. It is helpful not just in terms of the means of subsistence it offers for farmers, but also in terms of the health advantages it delivers. Tomatoes are also high in lycopene and vitamin C. Lycopene has been demonstrated in studies to reduce the hazard of osteoporosis, cancer, as well as treat male infertility. Smart agricultural technology allows for the making of tomato plant whether it is in period of season or not. This research focuses on the fruit's look since it is the most essential factor in determining how profitable a product will be as a commercial item. Only as the tomato matures will its beautiful beauty and high quality be revealed. Because surface colour is strongly related to maturity, visual identification is a valid approach to measure tomato maturity. Green, breakers, changing, pink, light red, and red stages are the six phases of tomato colour development. The scholars utilised the colour, size, and form of tomato fruit to estimate maturity using fuzzy logic in the context of smart farming.