Monitoring of agricultural progress in rice-wheat rotation area based on UAV RGB images

Monitoring of agricultural progress in rice-wheat rotation area based on UAV RGB images

Real-time monitoring of rice-wheat rotation areas is crucial for improving agricultural productivity and ensuring the overall yield of rice and wheat. However, the current monitoring methods mainly rely on manual recording and observation, leading to low monitoring efficiency. This study addresses t...

Full description

Saved in:
Bibliographic Details
Main Authors: Jianliang Wang, Chen Chen, Senpeng Huang, Hui Wang, Yuanyuan Zhao, Jiacheng Wang, Zhaosheng Yao, Chengming Sun, Tao Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Plant Science
Subjects:
UAV image
agricultural progress
deep learning
rice-wheat rotation
classification
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1502863/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items