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2017 | OriginalPaper | Buchkapitel

Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard

verfasst von : T. Padma, Shabir Ahmad Mir, S. P. Shantharajah

Erschienen in: Intelligent Decision Support Systems for Sustainable Computing

Verlag: Springer International Publishing

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Abstract

Sizable human population of the world is associated directly or indirectly with the agriculture and natural resources found on the earth and is important to the study of sustainability. Despite of difficulties in practical agriculture, new opportunities have been created by sophisticated technology-driven change to address judicious use and management related problems of resources and thereby improving human wellbeing. In agriculture, Intelligent Decision Support Systems (IDSS) have been used for optimization of number of planning and decision making challenges under variable number constraints based on noisy data. This research describes an IDSS to implement and optimize pest and disease protection decision making processes within temperate regions of India; develops hybrid algorithm using Case Based Reasoning and Database Technology and implement the same using web based client server architecture. The accuracy of decision making process provided by the system has been 90.20% and it can provide significant support to the apple farmers in decision making towards Eco-friendly pest management practices.

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Vorheriges Kapitel Analyzing Slavic Textual Sentiment Using Deep Convolutional Neural Networks

Nächstes Kapitel Analysis of Error Propagation in Safety Critical Software Systems: An Approach Based on UGF

GoI Area, Production and Productivity of Various Fruits in India. Ministry of Agriculture and Cooperation, Government of India 2013, New Delhi

N.A. Rather, Parvaze Ahmad Lone, A.A. Reshi, M.M. Mir et al., An analytical study on production and export of fresh and dry fruits in Jammu and Kashmir. Int. J. Sci. Res. Publ. 3(2), 1–7 (2013)

AESA based IPM package for Apple. Department of Agriculture and Cooperation, Ministry of Agriculture, Government of India 2014, p. 50

Jerneja Jakopic, Anka Zupan, Klemen Eler, Valentina Schmitzer, Franci Stampar, Robert Veberic et al., It’s great to be the King: apple fruit development affected by the position in the cluster. Sci. Hortic. 194, 18–25 (2015)CrossRef

M.L. Corollaro, I. Endrizzi, A. Bertolini, E. Aprea, M.L. Demattè, F. Costa, F. Biasioli, F. Gasperi et al., Sensory profiling of apple: methodological aspects, cultivar characterisation and postharvest changes. Postharvest Biol. Technol. 77, 111–120 (2013)CrossRef

A. Sherwani, M. Mukhtar, A.A. Wani, Insect Pests of Apple and their Management, Insect Pests Management of FRUIT CROPS (Biotech Books, 2016)

L. London, S. De Grosbois, C. Wesseling, S. Kisting, H.A. Rother, D. Mergler et al., Pesticide usage and health consequences for women in developing countries: out of sight out of mind? Int. J. Occup. Environ. Health 8(1), 46–59 (2002)CrossRef

J. Bonany, A. Buehler, J. Carbó, S. Codarin, F. Donati, G. Echeverria, S. Egger, W. Guerra, C. Hilaire, I. Höller, I. Iglesias, K. Jesionkowska, D. Konopacka, D. Kruczyńska, A. Martinelli, C. Pitiot, S. Sansavini, R. Stehr, F. Schoorl et al., Consumer eating quality acceptance of new apple varieties in different European countries. Food Qual. Prefer. 30(2), 250–259 (2013)

M.S. Ahmad, A. Nayyer, A. Aftab, B. Nayak, W. Siddiqui et al., Quality prerequisites of fruits for storage and marketing. J. Postharvest Technol. 2(1), 107–123 (2014)

10.

T. Wascinski, A. Michalczyk et al., Agricultural business extension aided by the case-based reasoning method. Ann. Warsaw Univ. Life Sci. SGGW Agric. 52, 107–114 (2008)

11.

D. Ruan (eds.), Atlantis Computational Intelligence Systems, in Computational Intelligence in Complex Decision Making Systems (World Scientific, Atlantis Press, 2010)

12.

N.O. Bushara, A. Abraham et al., Computational intelligence in weather forecasting: a review. J. Netw. Innov. Comput. 1, 320–331 (2013)

13.

S. Arivazhagan, R.N. Shebiah, S. Ananthi, S.V. Varthini et al., Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features. Agric. Eng. Int. 15(1), 211–217 (2013)

14.

A.M. Vyas, B. Talati, S. Naik et al., Colour feature extraction techniques of fruits: a survey. Int. J. Comput. Appl. 83(15), 15–22 (2013)

15.

S.P. Shouche, R. Rastogi, S.G. Bhagwat, K.S. Jayashree et al., Shape analysis of grains of Indian wheat. Comput. Electron. Agric. 33, 55–76 (2001)CrossRef

16.

C. Bauckhage, K. Kersting, Data Mining and Pattern Recognition in Agriculture (Springer, Berlin, 2013)

17.

J.R. Prasad, P.R. Prakash, S.S. Kumar et al., Identification of agricultural production areas in Andhra Pradesh. Int. J. Eng. Innov. Technol. 2(2), 137–140 (2012)

18.

A. Khoshroo, A. Keyhani, S. Rafiee, R. Zoroofi, Z. Zamani et al., Pomegranate quality evaluation using machine vision, in Proceedings of the First International Symposium on Pomegranate and Minor Mediterranean Fruits, 2009, pp. 347–352

19.

D. Wlodzislaw, M. Jacek (eds.), Challenges for Computational Intelligence (Springer, 2007), p. 63

20.

C.K. Riesbeck, R. Schank, Inside Case-Based Reasoning (Erlbaum, Northvale, NJ, 1989)

21.

S. Adeli, N. Hojjat, Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing (Wiley, New York, 2013)

22.

B. López, Case-Based Reasoning: A Concise Introduction, Synthesis Lectures on Artificial Intelligence and Machine Learning (University of Girona, Spain, 2013)

23.

K.J. Hammond, Case-Based Planning: Viewing Planning as a Memory Task (Academic Press, New York, 2012)MATH

24.

R.C. Schank, R.P. Abelson, Scripts, plans, goals, and understanding: an inquiry into human knowledge structures. Artif. Intell. Ser. (2013)

25.

R. Schank (ed.), Dynamic Memory: A Theory of Learning in Computers and People (Cambridge University Press, New York, 1982)

26.

I. Watson, Case-based reasoning is a methodology not a technology. Knowl. Based Syst. 12(5–6), 303–308 (1999)MathSciNetCrossRef

27.

A. Aamodt, E. Plaza et al., Case-based reasoning: foundational issues methodological variations and system approaches. AI Commun. 7, 39–59 (1994)

28.

C.J. Price, I.S. Pegler (eds.), Deciding Parameter Values with Case-Based Reasoning. Progress in Case-based Reasoning. Lecture notes in artificial intelligence, vol. 1020 (Springer, 1995), pp. 121–133

29.

I. Watson, Applying Case-based Reasoning: Techniques for Enterprise Systems (Morgan Kaufmann, CA, USA, 1997)MATH

30.

O.W. Samuel, G.M. Asogbon, A.K. Sangaiah, P. Fang, G. Li, An integrated decision support system based on ANN and Fuzzy_AHP for heart failure risk prediction. Expert Syst. Appl. 68, 163–172 (2017). Elsevier PublishersCrossRef

31.

A.K. Sangaiah, A.K. Thangavelu, X.Z. Gao, N. Anbazhagan, M.S. Durai, An ANFIS approach for evaluation of team-level service climate in GSD projects using Taguchi-genetic learning algorithm. Appl. Soft Comput. 30, 628–635 (2015)CrossRef

32.

A.K. Sangaiah, A. K. Thangavelu, An adaptive neuro-fuzzy approach to evaluation of team-level service climate in GSD projects. Neural Comput. Appl. 23(8) (2013) (Springer Publishers). doi:10.1007/s00521-013-1521-9

33.

P.S. Carberry, Z. Hochman, R.L. McCown, N.P. Dalgliesh, M.A. Foale, P.L. Poulton, J.N.G. Hargreaves, D.M.G. Hargreaves, S. Cawthray, N. Hillcoat, M.J. Robertson et al., The FARMSCAPE approach to decision support: farmers’, advisers’, researchers’ monitoring, simulation, communication and performance evaluation. Agric. Syst. 74, 141–177 (2000)CrossRef

34.

F.P. de Vries, P. Teng, K. Metselaar (eds.), Systems approaches for agricultural development, in Proceedings of the International Symposium on Systems Approaches for Agricultural Development, Bangkok, Thailand, 1993

35.

V. Rossi, P. Meriggi, T. Caffi, S. Giosué, T. Bettati (eds.), A Web-based Decision Support System for Managing Durum Wheat Crops. Advances in Decision Support Systems (INTECH, Croatia, 2010)

36.

J.D.C. Little, Models and managers: the concept of a decision calculus. Manage. Sci. 16(8), 1970 (1970)CrossRef

37.

J.H. Moore, M.G. Chang et al., Design of decision support systems. Data base 12, 1–2 (1980)CrossRef

38.

Z. Tagir, I. Ibragimov, T. Ibragimova, S. Sergey et al., Decision Support Systems for Cereal Crop Disease Control (EFITA/WCCA, Vila Real, Portugal, 2005)

39.

S.A. Mir, I.A. Mir, S.M.K. Quadri, N. Ahmad, S. Angchuk et al., ONVAREF: a decision support system for onion varietals reference. Afr. J. Agric. Res. 8(48), 6275–6282 (2013)

40.

A.M. Gil-Lafuente, C. Zopounidis (eds.), Decision making and knowledge decision support systems, in VIII International Conference of RACEF, Barcelona, Spain, 2015

Titel: Intelligent Decision Support System for an Integrated Pest Management in Apple Orchard
verfasst von: T. Padma
Shabir Ahmad Mir
S. P. Shantharajah
Verlag: Springer International Publishing
Buch: Intelligent Decision Support Systems for Sustainable Computing
Print ISBN: 978-3-319-53152-6

Electronic ISBN: 978-3-319-53153-3

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-53153-3_12

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