Work

Rice Spike Identification and Number Prediction in Different Periods Based on UAV Imagery and Improved YOLOv8

Year: 2025

Type: article

Abstract: Rice spike detection and counting play a crucial role in rice yield research. Automatic detection technology based on Unmanned Aerial Vehicle (UAV) imagery has the advantages of flexibility, efficiency, low cost, safety, and ... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.063820

Authors: Fuheng Qu, Hailong Li, Ping Wang, Sike Guo, Lu Wang, Xiaofeng Li

Institutions: Changchun University of Science and Technology, Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: diamond

Funder: People's Government of Jilin Province