{"title":"A Neuro-Automata Decision Support System for the Control of Late Blight in Tomato Crops","authors":"Gizelle K. Vianna, Gustavo S. Oliveira, Gabriel V. Cunha","volume":124,"journal":"International Journal of Computer and Information Engineering","pagesStart":455,"pagesEnd":463,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10006812","abstract":"
The use of decision support systems in agriculture may help monitoring large fields of crops by automatically detecting the symptoms of foliage diseases. In our work, we designed and implemented a decision support system for small tomatoes producers. This work investigates ways to recognize the late blight disease from the analysis of digital images of tomatoes, using a pair of multilayer perceptron neural networks. The networks outputs are used to generate repainted tomato images in which the injuries on the plant are highlighted, and to calculate the damage level of each plant. Those levels are then used to construct a situation map of a farm where a cellular automata simulates the outbreak evolution over the fields. The simulator can test different pesticides actions, helping in the decision on when to start the spraying and in the analysis of losses and gains of each choice of action.<\/p>\r\n","references":"[1]\tIBGE (Instituto Brasileiro de Geografia e Estat\u00edstica). Sistema IBGE de Recupera\u00e7\u00e3o Autom\u00e1tica - SIDRA, Retrieved from http:\/\/www.sidra.ibge.gov.br\/bda\/agric\/default.asp?z=t&o=11&i=P, in October 18, 2016.\r\n[2]\tMAPA (Minist\u00e9rio da Agricultura Pecu\u00e1ria e Abastecimento), Estat\u00edsticas e Dados B\u00e1sicos de Economia Agr\u00edcola, Retrieved from http:\/\/www.agricultura.gov.br\/arq_editor\/Pasta%20de%20Setembro%20-%202016.pdf, in October 10, 2016.\r\n[3]\tM. Rabelo, \u201cFaeg participa do Congresso Brasileiro de Tomate Industrial\u201d. Retrieved from: http:\/\/sistemafaeg.com.br\/noticias\/ 10796-faeg-participa-do-congresso-brasileiro-de-tomate-industrial, in May, 2015.\r\n[4]\tE. M. Neves, L. Rodrigues, M. Dayoub, and D. S. Dragone, \u201cBataticultura: disp\u00eandios com defensivos agr\u00edcolas no quinqu\u00eanio 1997-2001,\u201d.Batata Show, vol. 6, pp. 22-23, 2003.\r\n[5]\tUSDA (United States Department of Agriculture), USABlight Project, Retrieved from https:\/\/usablight.org\/node\/29, in October 4, 2016.\r\n[6]\tF.M. Correa, J.S.S. Bueno Filho, and M.G.F. Carmo, \u201cComparison of three diagrammatic keys for the quantification of late blight in tomato leaves,\u201d Plant Pathology, vol. 58, pp.:1128-1133,2009.\r\n[7]\tJ.R. Macedo, C.L. Capeche, A. Melo da S., and S.B. Bhering, \u201cRecomenda\u00e7\u00f5es T\u00e9cnicas para a Produ\u00e7\u00e3o do Tomate Ecologicamente Cultivado,\u201d Manejo do Solo - Circular T\u00e9cnica, vol. 33. Rio de Janeiro: Embrapa Solos, 2005.\r\n[8]\tE.S.G. Mizubuti, J.M.N. Maziero, L.A. Maffia, F. Haddad, and M.A Lima, \u201cCGTE Program: Simulation, Epidemiology and Management of Late Blight,\u201d in Global Initiative on Late Blight Conference, Hamburg, Germany, 2002.\r\n[9]\tW.F. Becker, \u201cValida\u00e7\u00e3o de dois sistemas de previs\u00e3o para o controle da requeima do tomateiro na regi\u00e3o de Ca\u00e7ador, SC,\u201d Agropecu\u00e1ria Catarinense, vol.18, pp. 63-68, 2005.\r\n[10]\tA. Saxena, B.K. Sarma, and H.B. Singh, \u201cEffect of Azoxystrobin Based Fungicides in Management of Chilli and Tomato Diseases,\u201d Proced. National Academy of Sciences, India:Springer, 2014.\r\n[11]\tC. Zhang, et al. \u201cFine mapping of the Ph-3 gene conferring resistance to late blight (Phytophthora infestans) in tomato,\u201d Theor. Appl. Genet., vol. 126, Springer-Verlag, pp.:2643-2653, 2013.\r\n[12]\tD.H. Park, Y. Zhang, and B.S. Kim, \u201cImprovement of resistance to late blight in hybrid tomato,\u201d Hort. Environm. Biotechnol, vol. 55(2), Springer, pp.:120-124, 2014.\r\n[13]\tO. Goufo, T. Mofor, and D. Ngnokam, \u201cHigh Efficacy of Extracts of Cameroon Plants Against Tomato Late Blight Disease,\u201d Agronomy for Sustainable Development, vol. 8, INRA, EDP Sciences, pp.567-573, 2008.\r\n[14]\tS. Sankaran, A. Mishraa, R. Ehsani, and C. Davis, \u201cA review of advanced techniques for detecting plant diseases,\u201d Computers and Electronics in Agriculture, vol. 72, n.1, pp.:1-13, 2010.\r\n[15]\tA.K. Mahlein, E.-C. Oerke, U. Steiner, and H.-W. Dehne, \u201cRecent advances in sensing plant diseases for precision crop protection,\u201d European Journal of Plant Pathology, vol. 133, n.1, pp.:197-209, 2012.\r\n[16]\tR. Bugiani, et al., \u201cMonitoring airborne concentrations of sporangia of Phytophthora infestans in relation to tomato late blight in Emilia Romagna, Italy,\u201d International Journal of Aerobiology, vol. 11, pp.:41-46, Elsevier Science, 1995.\r\n[17]\tG.K. Vianna and S.M.S. Cruz, \u201cAn\u00e1lise inteligente de imagens digitais no monitoramento da requeima em tomateiros,\u201d Anais do IX Congresso Brasileiro de Agroinform\u00e1tica. Cuiab\u00e1, Brazil, 2013.\r\n[18]\tG.K. Vianna and S.M.S. Cruz, \u201cRedes neurais artificiais aplicadas ao monitoramento da requeima em tomateiros,\u201d Anais do X Encontro Nacional de Intelig\u00eancia Artificial e Computacional (ENIAC), Fortaleza, Brazil, 2013.\r\n[19]\tD. Nunes, C. Werly, G.K. Vianna, and S.M.S. Cruz. \u201cEarly Discovery of Tomato Foliage Diseases Based on Data Provenance and Pattern Recognition,\u201d 5th International Provenance and Annotation Workshop (IPAW). Cologne, Germany, 2014.\r\n[20]\tJ.C.A. Barbedo, \u201cDigital image processing techniques for detecting, quantifying and classifying plant diseases,\u201d SpringerPlus, 2:660, 2013.\r\n[21]\tA. Vibhute and S.K. Bodhe, \u201cApplications of image processing in agriculture: a survey,\u201d International Journal of Computer Applications, vol. 52, n.2, pp.:34-40, 2012.\r\n[22]\tI.M. Scotford and P.C.H. Miller, \u201cApplications of spectral reflectance techniques in Northern European cereal production: a review,\u201d Biosyst. Eng., vol. 90, n.3, pp.:235\u2013250, 2005.\r\n[23]\tC.H. Bock, G.H. Poole, P.E. Parker, and T.R. Gottwald, \u201cPlant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging,\u201d Critical Reviews in Plant Sciences, vol. 29, n. 1-3, pp.:59\u2013107, 2010.\r\n[24]\tUCIPM \u2013 Integrated Pest Management Program of California University, Retrieved from: http:\/\/www.ipm.ucdavis.edu\/DISEASE\/ DATABASE\/potatolateblight.html, in June, 2016.\r\n[25]\tR.A. Hyre, \u201cProgress in forecasting late blight of potato and tomato\u201d. Plant Disease Reporter, Illinois, vol. 38, n.4, pp.: 245-253, 1954.\r\n[26]\tINMET \u2013 Instituto Nacional de Meteorologia, Retrieved from: http:\/\/www.inmet.gov.br\/portal\/, in June 5th, 2016.\r\n[27]\tT.N.H. Rebou\u00e7as, et al. \u201cPotencialidade de Fungicida e Agente Biol\u00f3gico no Controle da Requeima do Tomateiro\u201d, Horticultura Brasileira, vol.32(01), 2014.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 124, 2017"}