ISSN 2394-5125
 

Research Article 


DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL.

Abstract
The Agricultural Comprehensive Assessment of Landscape and Modeling for Sustainability Analysis and Forecasting Events Program (CALM-SAFE
Agriculture) aims to design and develop an adult flying-stage insects for monitoring using Deep Convolutional Neural Network and Raspberry Pi
since the main problem of the study includes the decrease of the rice production caused by destructive pest in the rice plants and lack of monitoring
device that can automatically detect and classify pest. The other objective of this study is to automate the process of insect pests monitoring. The
process involves data acquisition, labeling, training the CNN model, object detection, and classification until data stored on a JSON format. As
observed, using Raspberry Pi paired with the SSD-MobileNet model is suitable despite its computing power, it performs well in the detection and
classification of insects in a real-time scenario. Furthermore, this study has shown that using the SSD-MobileNet, has performed well on initial tests
in the detection and classification of rice adult-flying insects. The trained model achieves a rate of 78.4 % accuracy, compared with 74.0 % accuracy
in the previous study. The device will use on data gathering for the Decision Support System platform of the CALM-SAFE Agriculture program.

Key words: Insect Classification; Insect Monitoring; Monitoring System; Insect Infestation.


 
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How to Cite this Article
Pubmed Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. JCR. 2020; 7(15): 635-638. doi:10.31838/jcr.07.15.97


Web Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. http://www.jcreview.com/?mno=119831 [Access: September 17, 2020]. doi:10.31838/jcr.07.15.97


AMA (American Medical Association) Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. JCR. 2020; 7(15): 635-638. doi:10.31838/jcr.07.15.97



Vancouver/ICMJE Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. JCR. (2020), [cited September 17, 2020]; 7(15): 635-638. doi:10.31838/jcr.07.15.97



Harvard Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL (2020) DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. JCR, 7 (15), 635-638. doi:10.31838/jcr.07.15.97



Turabian Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. 2020. DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. Journal of Critical Reviews, 7 (15), 635-638. doi:10.31838/jcr.07.15.97



Chicago Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. "DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI." Journal of Critical Reviews 7 (2020), 635-638. doi:10.31838/jcr.07.15.97



MLA (The Modern Language Association) Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL. "DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI." Journal of Critical Reviews 7.15 (2020), 635-638. Print. doi:10.31838/jcr.07.15.97



APA (American Psychological Association) Style

JAMES EARL CUBILLAS, FRANCISDOMSON ZOILO, RIZALYN PEQUERO, JAYMER JAYOMA, ROLYN DAGUIL (2020) DESIGN AND DEVELOPMENT OF A STATIONARY PEST INFESTATION MONITORING DEVICE FOR RICE INSECT PESTS USING CONVOLUTIONAL NEURAL NETWORK AND RASPBERRY PI. Journal of Critical Reviews, 7 (15), 635-638. doi:10.31838/jcr.07.15.97