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Title: Development of New Algorithm using Bayesian Network for Decision Support in Tomato Insect Pest Management
Keywords: Tomato, Pest Management, decision-making, ETL, ICT, Bayesian Network
Researcher: Singh Niranjan
Guide(s): Neha Gupta
Registration Date: 24/12/2015
Abstract: Tomato (Lycopersicon esculentum L.) is one of the most important vegetable crops grown in the northern plains of India. Its production is severely hampered by many insect-pests causing significant yield losses. Timely availability of decision-support to the farmers on whether and what management option is required is imperative for effective pest management. In the absence of knowledge and expertise, farmers are over dependent on pesticide dealers for pest management decision-support in the country, which results in excessive, injudicious, and irrational use of chemicals for the pest control and thus not only degrades the environment, but also affects human health. For decades, the pest economic threshold level (ETL) has been the basis to select appropriate pest management option for decision support to the farmers. This process requires quantitative information about pest activity which needs to be scientifically observed in the farmers fields. However, a large section of the farming community is not able to scientifically obtain this kind of information. Moreover, in current pest management, decision-making depends upon a large range of agro-ecological/pest relevant information, beside pest activity. In this proposal, we envisage to develop a Bayesian network-based algorithm/method for the selection of an appropriate management option for the effective management of key insect-pests of tomato in the region, on the basis of tentative pest relevant information, beside pest activity, that farmers provided. The method thus developed and validated can be used in decision support systems (DSSs) of agriculture with applies information and communication technology to automate and speed up the process of providing pest management decision-support to the farmers. This can also be replicated for other regions and crops newline
Language: English
Appears in Department:Department of Computer Applications

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