# Fifth Lichuang Electronic Design Competition# Pest monitoring, identification and prediction system based on the Internet of Things and deep learning

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[Please fill in during the registration stage↓]   1. Self/Team Introduction We are a study group established since freshman year, including Rong Chenchu, Li Zhiru, Qin Le and Ding Yi. Our team name is agrEEICulture. EEIC represents the team Three students from the Department of Electronic Information Science and Technology and one student (Qin Le) from the Department of Integrated Circuit Design and System Integration. The team name is taken from agriculture. We are committed to the application of electronic information technology in agricultural planting.   2. Brief introduction to the project Our project aims to solve: The current pest problem in left-behind farmland. Because some farmland, such as drought-tolerant crops such as corn, often does not require farmers to take care of it for a long time. Farmers often go out to work during the maturity period of the crops. As a result, it is difficult for farmers to understand the pest problems in their fields at the first time. Our project goals are: Based on the existing pest trapping and induction monitoring technology, establish a pest monitoring system to help farmers obtain farmland information remotely. Establish a data center , collect and count pest detection information in different areas. We hope to carry out such artificial intelligence applications in our project: automatic identification and classification based on pest images or other information. Pest prediction based on weather, humidity, temperature and other information. [Please Fill in during the competition stage ↓]   1. Describe the details of the project in Appendix   2. Describe the challenges faced by the project and the problems it solves in Appendix   3. Describe the key points involved in the hardware and software parts of the project in Appendix   4. See Appendix 4 for a list of project materials. Attachment   5. Upload project pictures 5.1. Print the competition logo picture on the PCB, if not, it will be deemed as giving up the competition 5.2. Other pictures of the project    6. Demonstrate your project and record it as a video for uploading 6.1. Video upload to the official website of the competition 6.2. Video title of Station B and Link https://www.bilibili.com/video/bv1yf4y1X7eb   < span class="colour" style="color: rgb(102, 102, 102);">The 5th Lichuang Electronic Design Competition: {Based on the Internet of Things Pest monitoring, identification and prediction with deep learning}-{Project details}< /span> Notes: ①: Video requirements: Please shoot horizontally, the resolution is not less than 1280×720, the format is Mp4/Mov, and the size of a single video is limited Within 100M; ②: Video upload: Please upload to the official website of the competition and Station B ( www.bilibili.com ) simultaneously. The top 10 most popular projects at Station B will receive 1,000-5,000 yuan in cash rewards, and other uploaded projects will receive 100 yuan in Lichuang Mall without threshold. Voucher; ③: Video title: The 5th Lichuang Electronic Design Competition: {Project Name}-{Video Module Name}; For example, the 5th Lichuang Electronic Design Competition: "Autonomous Driving" Project - Team Introduction.

  7. Is this the first public release? 7.1. Whether the project has been published or won awards before, please indicate no. 7.2. If the project is optimized on the original basis, please indicate the optimization part.   8. Open source documents* 9. References

See attachment and click on the link for more details: https://www.szlcsc.com/go/dsxq