A novel 3D insect detection and monitoring system in plants based on deep learning

• DOI: 10.3389/fpls.2023.1236154
• Publication Date: 2023-08-31T16:42:06Z
• Authors: Nak Jung Choi; Kibon Ku; Sheikh Mansoor; Yong Suk Chung; Thai Thanh Tuan
• Keywords: monitoring; Plant culture; insect; 3D reconstruction; Plant Science; 15. Life on land; behavior analysis; habit exploration; SB1-1110

Insects can have a significant impact on biodiversity, ecology, and the economy. Certain insects, such as aphids, caterpillars, beetles, feed plant tissues, including leaves, stems, fruits. They cause direct damage by chewing parts, resulting in holes, defoliation, or stunted growth. This weaken affect its overall health productivity. Therefore, aim of this research was to develop model system that identify insects track their behavior, movement, size, habits. We successfully built 3D monitoring over time, facilitating exploration habits interactions with plants crops. technique assist researchers comprehending insect behavior it be beneficial for further these areas.