Abstract
At present, green plants exist in all aspects of our lives. And statistics shows that the pest species of green plants is very large. Thus accurate and rapid diagnosis is regarded as an essential component of green plant protection. Moreover, we couldn’t find relevant information easily. That is why pest diagnosis is difficult and inefficient for technicians and farmers. In view of the above, the expert systems have been widely used in pest identification. However, most of traditional expert systems for assistant diagnosis of green plant pests are based on dichotomous structure. They are not flexible enough and only equal the electronic dichotomous keys. Compared with dichotomous structure, the system based on multi-branch structure has more advantages for accurate and rapid diagnosis. This paper describes the design and development of a web-based green plant pest expert system as part of Tianjin science and technology cooperation project. Based on user needs, Tianjin Planting Pest Assistant Diagnosis System (TPPADS) was developed with ASP.NET, C# and Microsoft SQL server 2008 database. It can show many features simultaneously. Meanwhile, data maintaining is also very easy and simple as same as the Microsoft Windows Explorer. The system included about more than 300 species of green plant pests. Diagnosis knowledge was obtained from Tianjin Institute of Plant Protection. TPPADS can be used as a diagnosis tool and information database both for plant protection professionals and farmers. We believe its application prospect should be well.
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Weeks, P.J.D., Gauld, I.D., Gaston, K.J.: Automating the identification of insects: a new solution to an old problem. J. Bulletin of Entomological Research 87, 203–211 (1997)
Liao, S.H.: Expert system methodologies and applications—a decade review from 1995 to 2004. J. Expert Systems with Applications 28, 93–103 (2005)
Helvacioglu, S., Insel, M.: Expert system applications in marine technologies. J. Ocean Engineering 35, 1067–1074 (2008)
Blancard, D., Bonnet, A., Coleno, A.: TOM, un système expert en maladies des tomates. J. P.H.M. & Revue Horticole1 261, 7–14 (1985)
Coulson, R.N., Saunders, M.C.: Computer-assisted decision-making as applied to entomology. J. Annual Review of Entomology 32, 415–437 (1987)
Jones, P.: Agricultural applications of expert systems concepts. J. Agricultural Systems 31, 3–18 (1989)
Travis, J.W., Latin, R.X.: Development, implementation, and adoption of expert systems in plantpathology. J. Annual Review Phytopathology 29, 343–360 (1991)
Goodenough, J.L., McKinion, J.M.: Basics of Insects Modelling. ASAE monograph, St. Joseph (1992)
Edwards Jones, G.: Knowledge-based systems for pest management: an application-based review. J. Pesticide Sciences 36, 143–153 (1992)
Carrascal, M.J., Pau, L.F.: A survey of expert systems in agriculture and food processing. J. AI Applications 6, 27–49 (1992)
Edwards Jones, G.: Knowledge-based systems for crop protection: theory and practice. J. Crop Protection 12, 565–575 (1993)
Ramon, M.C.U., Roland, F.: An expert advisory system for wheat disease management. J. Plant disease 78, 209–215 (1994)
Yialouris, C.P., Sideridis, A.B.: An expert system for tomato diseases. J. Computers and Electronics in Agriculture 14, 61–76 (1996)
Gonzalez Andújar, J.L.: Cereal aphids expert system (CAES): identification and decision making. J. Computers and Electronics in Agriculture 8, 293–300 (1993)
Gallagher, S.: Proceedings of the Inaugural Meeting of the BioNET International Group for Computer Aided Taxonomy (BIGCAT). TECSEC Press, The University of Wales (1997)
Kramers, M.A., Conijn, C.G.M., Bastiaansen, C.: EXSYS, an Expert System for Diagnosing Flower bulb Diseases, Pests and Non-parasitic Disorders. J. Agricultural System 58, 57–85 (1998)
Ellison, P., Ash, G., McDonald, C.: An expert system for the management of botrytris cinerea in Australian vineyards. J. Development, Agricultural Systems 56, 185–207 (1998)
Leslie Shipp, J., Clarke, N.D.: Decision tools for integrated pest management. In: Albajes, R., Lodovica Gullino, M., Van Lenteren, J.C., Elad, Y. (eds.) Integrated Pest and Disease Management in Greenhouse Crops, pp. 168–182. Kluwer Academic Publishers, Netherlands (1999)
Clarke, N.D., Leslie Shipp, J., Papadopoulos, A.P.: Development of the Harrow Greenhouse Manager: a decision-support system for greenhouse cucumber and tomato. Computers and Electronics in Agriculture, 24, 195–204 (1999)
El-Azhary, E., Hassan, H.A., Rafea, A.: Pest control expert system for tomato (PCEST). J. Knowledge and Information Systems 2, 242–257 (2000)
Mahaman, B.D., Harizanis, P., Filis, I.: A diagnostic expert system for honeybee pests. J. Computers and Electronics in Agriculture 36, 17–31 (2002)
Mahaman, B.D., Passam, H.C., Sideridis, A.B.: DIARES-IPM: a diagnostic advisory rule-based expert system for integrated pest management in Solanaceous crop systems. J. Agricultural Systems 76, 1119–1135 (2003)
Gonzalez Andújar, J.L., Fernandez-Quintanilla, C., Izquierdo, J.: SIMCE: An expert system for seedling weed identification in cereals. J. Computers and Electronics in Agriculture 54, 115–123 (2006)
Prasad, R., Kumar Rajeev, R., Sinha, A.K.: AMRAPALIKA: An expert system for the diagnosis of pests, diseases, and disorders in Indian mango. J. Knowledge-Based Systems 19, 9–21 (2006)
Mansingh, G., Reichgelt, H., Osei Bryson, K.: CPEST: An expert system for the management of pests and diseases in the Jamaican coffee industry. J. Expert Systems with Applications 32, 184–192 (2007)
López-Morales, V., López-Ortega, O., Ramos-Fernández, J.: JAPIEST: An integral intelligent system for the diagnosis and control of tomatoes diseases and pests in hydroponic greenhouses. J. Expert Systems with Applications 35, 1506–1512 (2008)
Li, D., Fu, Z., Duan, Y.: Fish-Expert: a web-based expert system for fish disease diagnosis. J. Expert Systems with Applications 23, 311–320 (2002)
Fu, Z., Xu, F., Zhou, Y.: Pig-vet: a web-based expert system for pig disease diagnosis. J. Expert Systems with Applications 29, 93–103 (2005)
Xiao, J., Wang, H., Gao, L.: Design and Implementation of Expert System for Cow Disease Diagnose Based on. NET Framework. J. Application Research of Computers 12, 247–248 (2006) (in Chinese)
Liu, S., Xu, L., Shen, Y.: Design and implementation of expert system for prawn disease diagnose and prevention based on.NET platform. J. Computer Engineering and Design 13, 3444–3447 (2008) (in Chinese)
Kaloudis, S., Anastopoulos, D., Yialouris, C.P.: Insect identification expert system for forest protection. J. Expert Systems with Applications 28, 445–452 (2005)
Kaminaris, S.D., Tsoutsos, T.D., Agoris, D.: Assessing renewables-to-electricity systems: a fuzzy expert system model. J. Energy Policy 34, 1357–1366 (2006)
Alexandre Matelli, J., Bazzo, E., Carlos da Silva, J.: An expert system prototype for designing natural gas cogeneration plants. J. Expert Systems with Applications 36, 8375–8384 (2009)
Yialouris, C.P., Passam, H.C., Sideridis, A.B.: VEGES—a multilingual expert system for the diagnosis of pests, diseases and nutritional disorders of six greenhouse vegetables. J. Computers and Electronics in Agriculture 19, 55–67 (1997)
Gao, L., Shen, Z., Liu, Z.: Design and development of Taxokeys, a dichotomous-reasoning-based multimedia expert system assisting insect identification and taxonomic study. J. Acta Entomologica Sinica 46, 644–648 (2003) (in Chinese)
Li, Z., Zhang, B., Shen, Z.: The development of Quarantine Pests Information and Identification System in China. J. Plant Quarantine 17, 273–276 (2003) (in Chinese)
Gonzalez Andújar, J.L.: Expert system for pests, diseases and weeds identification in olive crops. J. Expert Systems with Applications 36, 3278–3283 (2009)
Shao, G., Li, Z., Wang, W.: Study on vegetable pests remote diagnosis expert system (VPRDES). J. Plant Protection 1, 51–54 (2006) (in Chinese)
Liu, G., Yang, X., Ge, Y.: An Artificial Neural Network–based Expert System for Fruit Tree Disease and Insect Pest Diagnosis. J. Networking, Sensing and Control, 1076–1079 (2006)
Peng, Y., Wang, Y., Tang, J.: A Study on Rice Pest Insect and Disease Diagnosis Expert System Based on B/S Mode. J. Acta Agriculturae Universitatis Jiangxiensis 6, 1157–1160 (2008) (in Chinese)
Han, H., Rajotte, E.G., Li, Z.: Qpais: A Web-Based Expert System for Assistedidentification of Quarantine Stored Insect Pests. In: Computer and Computing Technologies in Agriculture II, vol. I, pp. 701–714. Springer, Boston (2009)
Yu, S., Zhu, W.: Research on Mobile Expert System of Tomato Pest Diagnose Based on Microsoft.Net and Web Service. J. Journal of Agricultural Mechanization Research 1, 206–210 (2006) (in Chinese)
Wang, A., Miao, T., Cao, J.: Study of Web - Based Expert System for Control of Diseases and Insects in Forest. J. Computer Technology and Development 4, 228–231,235 (2008)
Xiao, L., Wang, Z., Peng, X.: Remote Diagnosis and Control Expert System for Citrus Agricultural Diseases and Insect Pests Based on BP Neural Network and WebGIS. In: Second International Conference on Intelligent Computation Technology and Automation, pp. 88–93 (2009)
Su, K., Liu, T., Hwang, S.: A developed model of expert system interface (DMESI). J. Expert Systems with Applications 20, 337–346 (2001)
Morpurgo, R., Mussi, S.: I-DSS: an Intelligent Diagnostic Support System. J. Expert Systems 18, 43–58 (2001)
Wada, T., Motoda, H., Washio, T.: Knowledge acquisition from both human expert and data. In: Cheung, D., Williams, G.J., Li, Q. (eds.) PAKDD 2001. LNCS (LNAI), vol. 2035, pp. 550–561. Springer, Heidelberg (2001)
Plant, R.E., Stone, N.D.: Knowledge-based Systems in Agriculture. McGraw-Hill, New York (1991)
Chandrasekaran, B.: Generic tasks in knowledge-based reasoning: high-level building blocks for expert system design. J. IEEE Expert 1, 23–30 (1986)
Schulthess, U., Schroeder, K., Kamel, A.: NEPER-weed: a picture-based expert system for weed identification. Agron. J. 88, 423–427 (1996)
Helvacioglu, S.: Utilization of expert systems in container ship design: accommodation layout design expert system (ALDES). Ph.D. Thesis, Department of Naval Architecture,Istanbul Technical University, Istanbul (2001)
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Wu, Z., Bai, Y., Huang, H., Li, W., Li, Z., Li, Z. (2011). TPPADS: An Expert System Based on Multi-branch Structure for Tianjin Planting Pest Assistant Diagnosis. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18354-6_67
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DOI: https://doi.org/10.1007/978-3-642-18354-6_67
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