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

• Published in: Intelligent Decision Support Systems for Sustainable Computing Vol. 705; pp. 225 - 245
• Main Authors: Padma, T., Mir, Shabir Ahmad, Shantharajah, S. P.
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2017; Springer International Publishing
• Series: Studies in Computational Intelligence
• Subjects: Behavioral patterns; Case based reasoning; Computational intelligence; Data analysis; Insect pest; Integrated pest management
• ISBN: 9783319531526; 3319531522
• ISSN: 1860-949X; 1860-9503
• DOI: 10.1007/978-3-319-53153-3_12

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-friendlyPest management practices.