Provided by FarmConnect
‘FarmConnect’ announced that it had developed a ‘smart farm specialized pest detection system’ by transferring edge AI-based smart farm pest and disease segmentation technology (ESPD) from the Electronics and Telecommunications Research Institute (ETRI). FarmConnect is a company specializing in big data and artificial intelligence analysis in the domestic agricultural sector.
According to the company, pests such as leaf mold disease and yellow leaf curl virus mainly occur in facility cultivation farms, causing serious damage to production. The newly developed system is based on edge-based real-time pest detection and diagnosis technology. We are applying technology that allows farmers to detect diseases and pests in real time while taking pictures of crop leaves with their smartphones. The advantage is that immediate analysis is possible rather than sending images to a server and analyzing them to check the results. to provide.
In addition, the 'Smart Farm Professional Pest Detection System' uses artificial intelligence technology to diagnose pests and pests in real time based on pre-learned pest information and provides recommended pest control information accordingly. Using this technology, it is possible to diagnose six types of pests, including leaf mold disease, yellow leaf curl virus, American leaf borer pest, blue bug pest, spot disease, and powdery mildew. As a result of application, the company says that the pest diagnosis accuracy reaches 93%. This is the side’s explanation.
A FarmConnect official said, “The smart farm detection system based on edge technology will not only provide simple pest diagnosis, but also provide advanced technologies such as customized control information, pest stage diagnosis, and pest outbreak prediction using environmental data.” He added, “Agricultural experts’ “It will be released as a professional analysis system linked to a custom automated consulting system based on rules,” he said.
Currently, FarmConnect's AI-based environmental data analysis and control system is being operated at agricultural technology centers in eight regions across the country, and in the future, we plan to introduce and demonstrate a real-time pest detection system as a new technology.
Dr. Yong-hyuk Moon of the Korea Electronics and Telecommunications Research Institute said, "This technology can operate on edge devices, and by applying segmentation technology that can dynamically support lightweight inference to smart farm pest detection, farmers can expect to reduce pest damage and increase production." “There is,” he said.
Mu-hyun Kim, CEO of FarmConnect, said, "In the future, we plan to develop specialized pest detection technology based on agricultural big data and AI and a customized consulting automation system for the smart farm environment."
Reporter: Ji-yeon Kim
Written & Released on November 23th
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