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Decision Making in Integrated Pest Management and Bayesian Network


Affiliations
1 ManavRachna International University, Faridabad-121004, India
 

Timely availability of expert support to the farmers for appropriate decision-making on 'whether and what pest management option is required' is imperative for effective Integrated Pest Management (IPM). For several decades Economic Threshold Level (ETL) has been the basis for decision-making but in modern IPM emphasis is given on agro-ecological situation wherein IPM decisions are based on large range of pest relevant information such as crop health, natural enemies, weather etc. beside pest incidence scientifically obtained through farmers' field scouting. But large farming community in India can rather obtain the tentative information of this kind, consisting uncertainties. Bayesian Network (BN), anartificial intelligence approach could help in developing technique/model to deal with tentative pest relevant information which can be used in field scouting based IPM Decision Support Systems (DSSs) to automate the process of advising appropriate pest management option to the farmers on the basis of tentative agro-ecological situation of their fields.

Keywords

IPM, Field Scouting, Decision-Making, ETL, Agro-Ecological Situation.
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Abstract Views: 264

PDF Views: 136




  • Decision Making in Integrated Pest Management and Bayesian Network

Abstract Views: 264  |  PDF Views: 136

Authors

Niranjan Singh
ManavRachna International University, Faridabad-121004, India
Neha Gupta
ManavRachna International University, Faridabad-121004, India

Abstract


Timely availability of expert support to the farmers for appropriate decision-making on 'whether and what pest management option is required' is imperative for effective Integrated Pest Management (IPM). For several decades Economic Threshold Level (ETL) has been the basis for decision-making but in modern IPM emphasis is given on agro-ecological situation wherein IPM decisions are based on large range of pest relevant information such as crop health, natural enemies, weather etc. beside pest incidence scientifically obtained through farmers' field scouting. But large farming community in India can rather obtain the tentative information of this kind, consisting uncertainties. Bayesian Network (BN), anartificial intelligence approach could help in developing technique/model to deal with tentative pest relevant information which can be used in field scouting based IPM Decision Support Systems (DSSs) to automate the process of advising appropriate pest management option to the farmers on the basis of tentative agro-ecological situation of their fields.

Keywords


IPM, Field Scouting, Decision-Making, ETL, Agro-Ecological Situation.

References