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Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System

Authors: Ibrahim , Olutayo , EZE Monday , & Joshua Jonah Vincent

Publication Type: Journal article

Journal: Journal Of Software Engineering And Intelligent Systems

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Abstract

Soybean is an important legume crop, extensively cultivated for food on which low-income population highly depend on its proteineous nutrient on daily basis for food. and oil. Soy beans consumption have been the major cheap protein-rich grain useful for treatment of malnutrition among children, for fighting against diabetes, high blood pressure, etc. Despite the nutritional and economic value of soy bean crop, a variety of pest attack such as fungi, nematode, bacteria and viruses are speedily becoming a constraint to quality and bountiful harvest. The effort of farmers to specifically identify the specific pest responsible for damaging of plants’ segment such as roots, stem, pod and leaves still remain vague and imprecise to many farmers. In this work, a neuro-fuzzy system was built with MATLAB version 8 with100 rules on six input parameter as linguistic variable or symptoms into the system to determine the disease type either as fungi or bacteria or virus and to also determine intensity rate, that is, level of damage, as the output in form of a crisp. The proposed Neuro-Fuzzy system was developed through MATLAB software using Adaptive Neuro-Fuzzy Inference System (ANFIS) box. ANFIS hybridizes the learning capacity of neural network with if-then rules of fuzzy logic to learn and design the most fitted membership function for a given set of data and thereby map the input with output. The proposed Neuro-Fuzzy System consisted of five stage: input stage, fuzzification, rule base, inference engine and defuzzification. The output of the system was to produce results for the decision maker to provide solution regarding the treatment of the infected plant for bountiful and quality harvest.

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Ibrahim,R. Olutayo,A. EZE,M. Joshua,J. . (2019). Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System, 4 (), 132-132.

Ibrahim,R. Olutayo,A. EZE,M. Joshua,J. . "Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System" 4, no (), (2019): 132-132.

Ibrahim,R. and Olutayo,A. and EZE,M. and Joshua,J. and . (2019). Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System, 4 (), pp132-132.

IbrahimR, OlutayoA, EZEM, JoshuaJ, . Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System. 2019, 4 ():132-132.

Ibrahim,Ramon , Olutayo,Ajayi , EZE,Monday , and Joshua,Jonah Vincent . "Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System", 4 . (2019) : 132-132.

I.Ramon O.Ajayi E.Monday & J.Jonah Vincent , "Diagnosis Model of Soy Beans Diseases Using Neuro-Fuzzy System" vol.4, no., pp. 132-132, 2019.

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