Intelligent 3-D recognition system considering the geometric characteristics of plants and structures in agricultural production systems

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Until now, plant cultivating systems have been treated as a concentrated constant system even though these are defined as a distributed constant system. The aim of this study is to introduce the idea of a distributed constant approach to plant cultivating systems and then realize those intelligent mechanization by using a 3-dimensional image processing system and artificial intelligence.1 A 3-dimensional measuring system combining a lazier range finder and a robot hand was developed, which allowed a highly accurate measurement of any types of plant and fruit shapes.2 Range images for any types of plants and fruits were obtained using a 3-dimensional measuring system, and then a data base for the plant and fruit shapes were built.3 For real-time measurement, a simple algorithm that enables us to rapidly measure fruits (muskmelon, apple, tomato, cucumber, etc.) was developed based on a polygon technique.4 A data communication system between computers, which are connected with LAN or WAN,was developed. This system can treat a great deal of data such as three dimensional image for fruits and transmit it rapidly from one computer to another ones using a compression technique of the image data.5 Optimal structural and space design for plant cultivating system in plant factories were implemented using a virtual reality technique.6 A new recognition algorithm combining neural networks and expert systems, which allows the shape of any fruits to be correctly recognized, was developed. For this recognition, the data of a 3-dimensional range image was used.7 Some techniques newly developed here will be useful for the mechanization and computerization of plant production systems.