As new AI techniques are developed and various types of big data accumulated, new approaches for pest management are also being attempted. Various spatio-temporal scale big data are being accumulated, and attempts are being made to utilize them to classify target objects and analyze their characteristics. Remote sensing data is widely used across various fields, and is being measured, stored, and shared in diverse formats. Hyperspectral imaging and satellite data are ecologically relevant big data, with distinct formats and potential applications. We will introduce real-world AI examples of utilizing hyperspectral image analysis, as well as estimating pest population density using satellite data.

• Hyoseok Lee(Daniel K. Inouye US Pacific Basin Agricultural Research Center, USDA-ARS)
• Christian Nansen(Department of Entomology and Nematology, University of California, Davis)
• Nicholas Manoukis(Daniel K. Inouye US Pacific Basin Agricultural Research Center, USDA-ARS)