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Table 4 Fuzzy rules for peanut/weed classification using J48-CFS classifier

From: Development of a fuzzy model for differentiating peanut plant from broadleaf weeds using image features

1. If (ave_Bs is B1) and (sum_entropy_HH is SE1) then (Plant is Weed)

2. If (ave_Bs is B1) and (sum_entropy_HH is not SE1) and (ave_S is S2) then (Plant is Peanut)

3. If (ave_Bs is B1) and (sum_entropy_HH is not SE1) and (ave_S is not S2) and (correlation_LL is CM1) then (Plant is Peanut)

4. If (ave_Bs is B1) and (sum_entropy_HH is not SE1) and (ave_S is not S2) and (correlation_LL is not CM1) then (Plant is Weed)

5. If (ave_Bs is not B1) and (ave_S is S1) and (cluster_shade_LL is CS1) then (Plant is Peanut)

6. If (ave_Bs is not B1) and (ave_S is not S1) and (cluster_shade_LL is CS1) then (Plant is Weed)

7. If (ave_Bs is not B1) and (cluster_shade_LL is not CS1) then (Plant is Weed)

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Plant Methods

ISSN: 1746-4811