On March 6, 2018, Kcomber successfully held the First International Artificial Intelligence (Agrotech) Seminar in Leshan City, China. The event was divided into two parts. In the first part, AI research experts from Kcomber’s brand Yonoop as well as Chinese governmental officials and professors have presented the newest results in crop protection image recognition and pathology. The second part was an academic discussion about the presented topics.

Besides the Chairman Wu Zhonghui, Vice General Manager Xie Zhongbo, and deputy general Manager Cheng Hongshan from Kcomber, government officials from the technological and agricultural bureaus of Leshan City as well as officials from committees of the High-tech industrial Development Zone in Leshan City took part. The seminar hosted a great amount of highly skilled experts in the fields of AI and aggrotech, including Dr. Ben Goertzel, a pioneer in the research and application of artificial intelligence as well as the Chief Scientist of CCM’s Agricultural Technology Research Institute. 

After this, Professor Peng Yunliang from the Sichuan Agricultural University and Crop Protection Institute of Agricultural Science, has introduced the latest research methods of pathology in China. After the presentations, the seminar went on in the second part with several academic discussions among all participants. The engaging conversations have been around comparisons of methods of image acquisition, agricultural disease and pest image processing and AI recognition as well as methods of research object selectin and processing on agricultural economy and biological diversity. 

About Yoonop

Yoonop, a brand of Kcomber, is a cloud service platform starts from AMP store and provides full ranges of comprehensive business management, based on AI-driven agriculture. Meanwhile, Yoonop embeds household, manufacturers and big data service modules to realize the connectivity of information on all elements of the agricultural supply chain and consumption chain through three different aspects technology platforms of manufacturer, agricultural material store and farmers.  

Besides, Yoonop provides integrated solutions for agricultural big data collection, agricultural product circulation, agro-technical popularization service, disease pest control, agricultural information early warning and so on.

Yoonop enables trend analysis to get diseases symptoms easily and convenient. Historical transaction analysis and correlation analysis will evaluate users credit risk. Agricultural products trade analysis to conclude regional food security risks. Furthermore, get recommended agricultural knowledge based on the condition of the user planting and breeding stage

Yoonop uses a combination algorithm based on utility recommendation and knowledge recommendation. Get a product quantity recommendation. The innovative deep learning algorithm identifies user images to recognize and categorize results automatically.