Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe
Enhancing nitrogen fertilization efficiency for improving yield is a major challenge for smallholder farming systems. Rapid and cost-effective methodologies with the capability to assess the effects of fertilization are required to facilitate smallholder farm management. This study compares maize leaf and canopy-based approaches for assessing N fertilization performance under different tillage, residue coverage and top-dressing conditions in Zimbabwe. Among the measurements made on individual leaves, chlorophyll readings were the best indicators for both N content in leaves (R < 0.700) and grain yield (GY) (R < 0.800). Canopy indices reported even higher correlation coefficients when assessing GY, especially those based on the measurements of the vegetation density as the green area indices (R < 0.850). Canopy measurements from both ground and aerial platforms performed very similar, but indices assessed from the UAV performed best in capturing the most relevant information from the whole plot and correlations with GY and leaf N content were slightly higher. Leaf-based measurements demonstrated utility in monitoring N leaf content, though canopy measurements outperformed the leaf readings in assessing GY parameters, while providing the additional value derived from the affordability and easiness of using a pheno-pole system or the high-throughput capacities of the UAVs.
Main Authors: | , , , , , , , , |
---|---|
Format: | Article biblioteca |
Language: | English |
Published: |
Nature Publishing Group
2020
|
Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, AGROECOLOGY, IMAGE ANALYSIS, REMOTE SENSING, PLANT PHYSIOLOGY, STRESS, |
Online Access: | https://hdl.handle.net/10883/20964 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cimmyt-10883-20964 |
---|---|
record_format |
koha |
spelling |
dig-cimmyt-10883-209642023-10-31T15:09:38Z Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe Gracia-Romero, A. Kefauver, S.C. Vergara Diaz, O. Hamadziripi, E. Zaman-Allah, M. Thierfelder, C. Prasanna, B.M. Cairns, J.E. Araus, J.L. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY AGROECOLOGY IMAGE ANALYSIS REMOTE SENSING PLANT PHYSIOLOGY STRESS Enhancing nitrogen fertilization efficiency for improving yield is a major challenge for smallholder farming systems. Rapid and cost-effective methodologies with the capability to assess the effects of fertilization are required to facilitate smallholder farm management. This study compares maize leaf and canopy-based approaches for assessing N fertilization performance under different tillage, residue coverage and top-dressing conditions in Zimbabwe. Among the measurements made on individual leaves, chlorophyll readings were the best indicators for both N content in leaves (R < 0.700) and grain yield (GY) (R < 0.800). Canopy indices reported even higher correlation coefficients when assessing GY, especially those based on the measurements of the vegetation density as the green area indices (R < 0.850). Canopy measurements from both ground and aerial platforms performed very similar, but indices assessed from the UAV performed best in capturing the most relevant information from the whole plot and correlations with GY and leaf N content were slightly higher. Leaf-based measurements demonstrated utility in monitoring N leaf content, though canopy measurements outperformed the leaf readings in assessing GY parameters, while providing the additional value derived from the affordability and easiness of using a pheno-pole system or the high-throughput capacities of the UAVs. 2020-10-10T00:05:15Z 2020-10-10T00:05:15Z 2020 Article Published Version https://hdl.handle.net/10883/20964 10.1038/s41598-020-73110-3 English https://www.nature.com/articles/s41598-020-73110-3#Sec23 CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access PDF London (United Kingdom) Nature Publishing Group 1 10 2045-2322 Nature Scientific Reports |
institution |
CIMMYT |
collection |
DSpace |
country |
México |
countrycode |
MX |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-cimmyt |
tag |
biblioteca |
region |
America del Norte |
libraryname |
CIMMYT Library |
language |
English |
topic |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY AGROECOLOGY IMAGE ANALYSIS REMOTE SENSING PLANT PHYSIOLOGY STRESS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY AGROECOLOGY IMAGE ANALYSIS REMOTE SENSING PLANT PHYSIOLOGY STRESS |
spellingShingle |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY AGROECOLOGY IMAGE ANALYSIS REMOTE SENSING PLANT PHYSIOLOGY STRESS AGRICULTURAL SCIENCES AND BIOTECHNOLOGY AGROECOLOGY IMAGE ANALYSIS REMOTE SENSING PLANT PHYSIOLOGY STRESS Gracia-Romero, A. Kefauver, S.C. Vergara Diaz, O. Hamadziripi, E. Zaman-Allah, M. Thierfelder, C. Prasanna, B.M. Cairns, J.E. Araus, J.L. Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe |
description |
Enhancing nitrogen fertilization efficiency for improving yield is a major challenge for smallholder farming systems. Rapid and cost-effective methodologies with the capability to assess the effects of fertilization are required to facilitate smallholder farm management. This study compares maize leaf and canopy-based approaches for assessing N fertilization performance under different tillage, residue coverage and top-dressing conditions in Zimbabwe. Among the measurements made on individual leaves, chlorophyll readings were the best indicators for both N content in leaves (R < 0.700) and grain yield (GY) (R < 0.800). Canopy indices reported even higher correlation coefficients when assessing GY, especially those based on the measurements of the vegetation density as the green area indices (R < 0.850). Canopy measurements from both ground and aerial platforms performed very similar, but indices assessed from the UAV performed best in capturing the most relevant information from the whole plot and correlations with GY and leaf N content were slightly higher. Leaf-based measurements demonstrated utility in monitoring N leaf content, though canopy measurements outperformed the leaf readings in assessing GY parameters, while providing the additional value derived from the affordability and easiness of using a pheno-pole system or the high-throughput capacities of the UAVs. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY AGROECOLOGY IMAGE ANALYSIS REMOTE SENSING PLANT PHYSIOLOGY STRESS |
author |
Gracia-Romero, A. Kefauver, S.C. Vergara Diaz, O. Hamadziripi, E. Zaman-Allah, M. Thierfelder, C. Prasanna, B.M. Cairns, J.E. Araus, J.L. |
author_facet |
Gracia-Romero, A. Kefauver, S.C. Vergara Diaz, O. Hamadziripi, E. Zaman-Allah, M. Thierfelder, C. Prasanna, B.M. Cairns, J.E. Araus, J.L. |
author_sort |
Gracia-Romero, A. |
title |
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe |
title_short |
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe |
title_full |
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe |
title_fullStr |
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe |
title_full_unstemmed |
Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe |
title_sort |
leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in zimbabwe |
publisher |
Nature Publishing Group |
publishDate |
2020 |
url |
https://hdl.handle.net/10883/20964 |
work_keys_str_mv |
AT graciaromeroa leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT kefauversc leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT vergaradiazo leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT hamadziripie leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT zamanallahm leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT thierfelderc leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT prasannabm leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT cairnsje leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe AT arausjl leafversuswholecanopyremotesensingmethodologiesforcropmonitoringunderconservationagricultureacaseofstudywithmaizeinzimbabwe |
_version_ |
1781883736120360960 |