A robust rice yield estimation framework developed by grading modeling and normalized weight decision-making strategy using UAV imaging technology-Reference-Cited by-同舟云学术

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A robust rice yield estimation framework developed by grading modeling and normalized weight decision-making strategy using UAV imaging technology

Published:2023-12 Issue: Volume:215 Page:108417
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Yang Rui,Zhou Jun,Lu Xiangyu,Shen Jianxun,Chen Huizhe,Chen Mengyuan,He Yong,Liu Fei

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference45 articles.

1. Rice plant counting, locating, and sizing method based on high-throughput UAV RGB images;Bai;Plant Phenomics,2023

2. Emerging trends in machine learning to predict crop yield and study its influential factors: a survey;Bali;Arch. Computat. Methods Eng.,2022

3. Geo-CropSim: A Geo-spatial crop simulation modeling framework for regional scale crop yield and water use assessment;Bandaru;ISPRS J. Photogramm. Remote Sens.,2022

4. Detecting intra-field variation in rice yield with unmanned aerial vehicle imagery and deep learning;Bellis;Front. Plant Sci.,2022

5. Reliable UAV monitoring system using deep learning approaches;Cai;IEEE t. Reliab.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Method for Monitoring Wheat Growth Status and Estimating Yield Based on UAV Multispectral Remote Sensing;Agronomy;2024-05-08

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