The Research on Precise Monitoring Methods for Grain Planting Areas Based on High-precision UAV Remote Sensing Images
Precisely monitoring the range of rice cultivation is an essential task for the government to dynamically supervise the red line of 180 million mu ($ 1 mu \approx 666.667 {m^2} $) of arable land. This study aims to address the issues of low efficiency, high cost, and insufficient accuracy in traditi...
Saved in:
Main Author: | XU Chang, WANG Chunxiao, LIU Lu, YAN Xiaobin, LIU Xiaojuan, Chen Hui, CHENG Mingxing, FAN Yewen |
---|---|
Format: | Article |
Language: | English |
Published: |
Surveying and Mapping Press
2024-12-01
|
Series: | Journal of Geodesy and Geoinformation Science |
Subjects: | |
Online Access: | http://jggs.chinasmp.com/fileup/2096-5990/PDF/1737100194707-1106830193.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
UAV Remote Sensing Technology for Wheat Growth Monitoring in Precision Agriculture: Comparison of Data Quality and Growth Parameter Inversion
by: Jikai Liu, et al.
Published: (2025-01-01) -
Alleviating small sample problem in continuous forest monitoring with remote sensing-assisted Copulas
by: Xinjie Cheng, et al.
Published: (2025-02-01) -
Monitoring of agricultural progress in rice-wheat rotation area based on UAV RGB images
by: Jianliang Wang, et al.
Published: (2025-01-01) -
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
by: Ahmed Alsayat, et al.
Published: (2025-01-01) -
Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers
by: Manuel Milling, et al.
Published: (2025-01-01)