Classification and Prioritization of the Disease Causing Risk Factors in Cotton Crop Cultivation using Fuzzy Analytical Hierarchy Process

Abstract

Cotton is aleadingfiber crop of universal rank which has a great elevation towards the marketable value and it isone of the significant commodity crops that have massive potential to bring sustained accomplishment to farmers. “Bad Boll Opening” is a vital, multifaceted disease that affects the cotton crop after the fruiting period of the plant which declines the productivity massively [1-5]. This research develops a desired computational tool to identify and evaluate the occurrence and the severity of the said disease causing risk factors. An integrated decision making and fuzzy analytical hierarchy processing method is applied to hierarchically classify and assess the relative closeness of these hazard factors by utilizing the knowledge and experience of the domain experts which includes plant pathologists, fertilizer operation managers, pest controllers and cotton information technical specialist [6-11]. The outcome of this proposed research will support farmers in disease identification and diagnosis during the process of cultivating cotton crops.