Accurate Prediction of 327 Rice Variety Growth Period Based on Unmanned Aerial Vehicle Multispectral Remote Sensing

Accurate Prediction of 327 Rice Variety Growth Period Based on Unmanned Aerial Vehicle Multispectral Remote Sensing

Most rice growth stage predictions are currently based on a few rice varieties for prediction method studies, primarily using linear regression, machine learning, and other methods to build growth stage prediction models that tend to have poor generalization ability, low accuracy, and face various c...

Full description

Saved in:
Bibliographic Details
Main Authors: Zixuan Qiu, Hao Liu, Lu Wang, Shuaibo Shao, Can Chen, Zijia Liu, Song Liang, Cai Wang, Bing Cao
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Drones
Subjects:
precision agriculture
rice growth stages
UAV remote sensing
deep-learning algorithm
vegetation index
Online Access:https://www.mdpi.com/2504-446X/8/11/665
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items