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A review of remote sensing for potato traits characterization in precision agriculture
Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop protection and management practices. Precision agric...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339983/ https://www.ncbi.nlm.nih.gov/pubmed/35923874 http://dx.doi.org/10.3389/fpls.2022.871859 |
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author | Sun, Chen Zhou, Jing Ma, Yuchi Xu, Yijia Pan, Bin Zhang, Zhou |
author_facet | Sun, Chen Zhou, Jing Ma, Yuchi Xu, Yijia Pan, Bin Zhang, Zhou |
author_sort | Sun, Chen |
collection | PubMed |
description | Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop protection and management practices. Precision agriculture is being well recognized as the solution as it deals with the management of spatial and temporal variability to improve agricultural returns and reduce environmental impact. As the initial step in precision agriculture, the traditional methods of crop and field characterization require a large input in labor, time, and cost. Recent developments in remote sensing technologies have facilitated the process of monitoring crops and quantifying field variations. Successful applications have been witnessed in the area of precision potato farming. Thus, this review reports the current knowledge on the applications of remote sensing technologies in precision potato trait characterization. We reviewed the commonly used imaging sensors and remote sensing platforms with the comparisons of their strengths and limitations and summarized the main applications of the remote sensing technologies in potato. As a result, this review could update potato agronomists and farmers with the latest approaches and research outcomes, as well as provide a selective list for those who have the intentions to apply remote sensing technologies to characterize potato traits for precision agriculture. |
format | Online Article Text |
id | pubmed-9339983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93399832022-08-02 A review of remote sensing for potato traits characterization in precision agriculture Sun, Chen Zhou, Jing Ma, Yuchi Xu, Yijia Pan, Bin Zhang, Zhou Front Plant Sci Plant Science Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop protection and management practices. Precision agriculture is being well recognized as the solution as it deals with the management of spatial and temporal variability to improve agricultural returns and reduce environmental impact. As the initial step in precision agriculture, the traditional methods of crop and field characterization require a large input in labor, time, and cost. Recent developments in remote sensing technologies have facilitated the process of monitoring crops and quantifying field variations. Successful applications have been witnessed in the area of precision potato farming. Thus, this review reports the current knowledge on the applications of remote sensing technologies in precision potato trait characterization. We reviewed the commonly used imaging sensors and remote sensing platforms with the comparisons of their strengths and limitations and summarized the main applications of the remote sensing technologies in potato. As a result, this review could update potato agronomists and farmers with the latest approaches and research outcomes, as well as provide a selective list for those who have the intentions to apply remote sensing technologies to characterize potato traits for precision agriculture. Frontiers Media S.A. 2022-07-18 /pmc/articles/PMC9339983/ /pubmed/35923874 http://dx.doi.org/10.3389/fpls.2022.871859 Text en Copyright © 2022 Sun, Zhou, Ma, Xu, Pan and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Sun, Chen Zhou, Jing Ma, Yuchi Xu, Yijia Pan, Bin Zhang, Zhou A review of remote sensing for potato traits characterization in precision agriculture |
title | A review of remote sensing for potato traits characterization in precision agriculture |
title_full | A review of remote sensing for potato traits characterization in precision agriculture |
title_fullStr | A review of remote sensing for potato traits characterization in precision agriculture |
title_full_unstemmed | A review of remote sensing for potato traits characterization in precision agriculture |
title_short | A review of remote sensing for potato traits characterization in precision agriculture |
title_sort | review of remote sensing for potato traits characterization in precision agriculture |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339983/ https://www.ncbi.nlm.nih.gov/pubmed/35923874 http://dx.doi.org/10.3389/fpls.2022.871859 |
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