Abstract

AbstractRecently, improving the quality of life of farmers through the application of ICT in agriculture has attracted active attention. Smart farming refers to a system that cultivates or manages crops by integrating various sensors and cameras with computer and communication technologies. In this study, we developed a plant growth measurement system and designed a series of devices to increase system performance. Moreover, to improve the performance analysis based on environmental information and images, we used not only the faster R-CNN network to detect the location and size of pests but also a powerful tool to estimate the likelihood of identified pests. Furthermore, through this study, we have successfully advanced the existing artificial intelligence technology, thereby laying the foundation for AI in agricultural automation.KeywordsIoTApplicationSmartfarmImage processingPlant growth

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