Document Type : Original Article

Authors

Abstract

Saffron is the most expensive agriculture crop and spice in the world. There is very few information about physical and geometric properties of Saffron flower and its parts in academic resources. Due to the lack of a virtual model of Saffron flower it is difficult to analysis and design a post-harvesting mechanism. By generation of a 3D geometrical model of the flower as a free form, not only obtained geometric parameters of flower, but also a more accurate mechanical behavior of the flower including its aerodynamical behavior becomes possible. In this article, using reverse engineering, 3D data of Saffron flower were extracted by employing laser scanning technology, after data pre-processing and processing, the 3D model of saffron flower as a free form was developed. Because of non-rigidity and flexibility of saffron flower and the need for scanning the hidden components including anther and stigma, there is no possibility for integrated scanning of the flower. Therefore, every component of flower must be scanned individually followed by joining various components of saffron flower, after which the whole free form rigid 3D model of saffron flower was developed. Because of the very low thickness of the petals, the extracted point clouds are interfering, and using the commercial software available in the market does not allow direct modeling of the flower using the raw scanned data. An algorithm was proposed for addressing the problem of interference in point cloud and to separate point cloud of the top surface and the bottom surface of the petal named as “projected homogenous neighbors”. The algorithm is capable of solving some problems in geometric modeling of plants and flowers.

Keywords

Alishahi, I., Shamsi, M., 2012. Separating saffron from the other components of flower in a vertical wind tunnel and checking it with fuzzy logic. Journal of Agricultural Machinery. 2, 120-126. [In Persian with English Summary]
Asghari Lafmejani, S., Masoumi Jeshni, M., and Hosseini, N., 2015. The Role of Saffron as a Strategic Product in the Livelihoods of Rural Households of Iran (The Case of Bajestan Township). Journal of Saffron Research. 3(1), 64-80. [In Persian with English Summary]
Alipoor Miandehi, Z., Mahmodi, S., Behdani, M.A., Sayyari, M.H., 2014. Effect of manure, bio-and chemical-fertilizers and corm size on saffron (Crocus sativus L.) yield and yield components. Journal of Saffron Research. 1(2), 73-84. [In Persian with English Summary]
Babaie, A., Abdollahpoor, S., Mahmoudi, A., Fattahi, S.H., 2012. Saffron Stigma Separation by Oscillating Separator and Wind Tunnel. Modern Applied Science. 6, 101-113.
Ding, Z., Xu, S.C., Ye, X.Z., Zhang, Y., Zhang, S.Y., 2008. Flower solid modeling based on sketches. Journal of Zhejiang University Science A. 9, 481-488.
Fallahi, H.R., Alami, S., Behdani, M.A., and Aghhavani Shajari, M., 2015. Evaluation of local and scientific knowledge in saffron agronomy (Case study: Sarayan). Journal of Saffron Research. 3(1), 31-50. [In Persian with English Summary]
 
Foorginejad, A., Khalili, K., 2014. Using homogeneous neighborhood in point clouds normal vector calculation. Journal of Mechanical Engineering of Modarres. 5, 155-163. [In Persian with English Summary]
Foorginejad, A., Khalili, K., 2014. Umbrella curvature: a new curvature estimation method for point clouds. Procedia Technology. 12, 347-352.
Ijiri, T., Owada, S., Okabe, M., Igarashi, T., 2005. Floral diagrams and inflorescences: Interactive flower modeling using botanical structural constraints. ACM Transactions on Graphics (TOG) -Proceedings of ACM Siggraph. 24, 720-726.
Khalili, K., 2007. Simulation of falling saffron flower and the effect of acting forces on flowers orientation. Modelling, Identification and Control. Innsbruck, Austria. 109-113.
Lindenmayer, A., 1968. Mathematical models for cellular interaction in development. Journal of Theoretical Biology. 18, 300-315.
Ming, Z., Juan, Y., Xiaoshuan, Z., 2009. Geometry modeling for cotton leaf based on NURBS. Information Science and Applications. 6, 1615-1624.
Paproki, A., Sirault, X., Berry, S., Furbank, R., Fripp, J., 2012. A novel mesh processing   based technique for 3d plant analysis. BMC Plant Biology. 12,  63.
Paulus, S., Schumann, H., Kuhlmann, H., Léon, J., 2014. High-precision laser scanning system for capturing 3D plant architecture and analysing growth of cereal plants. Biosystems Engineering. 121, 1-11.
Prusinkiewicz, P., Lindenmayer, A., 1990. The Algorithmic Beauty of Plants. Springer-Verlag, New York.
Prusinkiewicz, P., Shirmohammadi, M., Samavati, F., 2010. L-systems in Geometric Modeling. Electronic Proceedings in Theoretical Computer Science. 31, 3-14.
Pour Salehi, F., Khashei Siuki, A., Bidokhti, Z., 2015. Changes in pattern and cultivation intensity based on virtual water with the saffron centrality (Case Study: Birjand plain). Journal of Saffron Research. 3(1), 18-30. [In Persian with English Summary]
Quan, L., Tan, P., Zeng, G., Yuan, L., Wang, J., Kang, S.B., 2006. Image-based Plant Modeling. ACM transactions on graphics