Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery

Development of a Lightweight Model for Rice Plant Counting and Localization Using UAV-Captured RGB Imagery

Accurately obtaining both the number and the location of rice plants plays a critical role in agricultural applications, such as precision fertilization and yield prediction. With the rapid development of deep learning, numerous models for plant counting have been proposed. However, many of these mo...

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Bibliographic Details
Main Authors: Haoran Sun, Siqiao Tan, Zhengliang Luo, Yige Yin, Congyin Cao, Kun Zhou, Lei Zhu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agriculture
Subjects:
rice plant counting
pruning
lightweight architecture
deep learning
UAV
Online Access:https://www.mdpi.com/2077-0472/15/2/122
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