Development and Evaluation of an Expert System for Detecting Merops apiaster Attack to the Beehive in Order to Reduce Mortality

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ABDOLAHZARE ZAHRA; Kazemi Navab; ABDANAN MEHDIZADEH SAMAN

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Journal: Iranian Journal of Biosystems Engineering Year:2020 | Volume:50 | Issue:4 Page(s): 991-1004

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Information Journal Paper

Title

Development and Evaluation of an Expert System for Detecting Merops apiaster Attack to the Beehive in Order to Reduce Mortality

Author(s)

ABDOLAHZARE ZAHRA | Kazemi Navab | ABDANAN MEHDIZADEH SAMAN | Issue Writer Certificate

Keywords

smart hiveQ1

Merops apiasterQ1

Genetic AlgorithmQ1

K-nearest neighborhoodQ1

Abstract

Active monitoring of beehive using sensor network that can record all of the hive conditions for recognition of living status of beehives, could help beekeepers to make a proper decision while attacking foreign enemies, and prevent the collapse of the hive. To this end, in this study, an expert system for detection of Merops apiaster attack was developed which is including: temperature, sound, humidity and ethanol sensors. The data was collected for two conditions (i. e. normal and apiaster attack conditions) and different features in two time and frequency domains were extracted. After that, the most significant features were selected and classified using GA (Genetic Algorithm) and K-NN, respectively. According to results, among 19 selected features, 5 features namely spectral entropy, sound energy, sound maximum, alcohol minimum, and natural frequency were selected as the most effective features with 8967, 6018, 1321, 1287, and 809 occurrence, respectively. K-NN classification had 100% accuracy, precision, recall, Fscore, specificity, and Gmean and zero false positive rate which indicates proper performance of expert system for detection of apiaster attack to the beehives.

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APA: Copy

ABDOLAHZARE, ZAHRA, Kazemi, Navab, & ABDANAN MEHDIZADEH, SAMAN. (2020). Development and Evaluation of an Expert System for Detecting Merops apiaster Attack to the Beehive in Order to Reduce Mortality. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 50(4 ), 991-1004. SID. https://sid.ir/paper/144277/en

Vancouver: Copy

ABDOLAHZARE ZAHRA, Kazemi Navab, ABDANAN MEHDIZADEH SAMAN. Development and Evaluation of an Expert System for Detecting Merops apiaster Attack to the Beehive in Order to Reduce Mortality. IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2020;50(4 ):991-1004. Available from: https://sid.ir/paper/144277/en

IEEE: Copy

ZAHRA ABDOLAHZARE, Navab Kazemi, and SAMAN ABDANAN MEHDIZADEH, “Development and Evaluation of an Expert System for Detecting Merops apiaster Attack to the Beehive in Order to Reduce Mortality,” IRANIAN JOURNAL OF BIOSYSTEMS ENGINEERING (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 50, no. 4 , pp. 991–1004, 2020, [Online]. Available: https://sid.ir/paper/144277/en

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