A robust but straightforward phenology-based ginger mapping algorithm by using unique phenology features, and time-series Sentinel-2 images-Reference-Cited by-同舟云学术

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A robust but straightforward phenology-based ginger mapping algorithm by using unique phenology features, and time-series Sentinel-2 images

Published:2022-07 Issue: Volume:198 Page:107066
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Di Yuanyuan,Dong Jinwei,Zhu Fangfang,Fu Ping

Funder

Ministry of Science and Technology of the People's Republic of China Department of Science and Technology for Social Development

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science

National Natural Science Foundation of China

National Key Research and Development Program of China

University of Nottingham Ningbo China

Chinese Academy of Sciences

Publisher

Elsevier BV

Subject

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

Reference45 articles.

1. Physical properties of ginger (Zingiber officinale);Ajav;Glob. J. Sci. Front. Res.: D Agri. Vet.,2014

2. Influence of the rate and timing of mulching on the growth and yield of ginger (ZINGIBER OFFICINALE L.);Akinwumi;Acta Hortic.,2013

3. Automatic canola mapping using time series of sentinel 2 images;Ashourloo;ISPRS J. Photogramm. Remote Sens.,2019

4. Impact of COVID-19 on ginger export, a root crop as traditional remedy for COVID-19;Ayipey;J. Basic Appl. Res. Biomed.,2020

5. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program;Boryan;Geocarto Int.,2011

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