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Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations

Monocultural land use challenges sustainability of agriculture. Pre-crop value indicates the benefits of a previous crop for a subsequent crop in crop sequencing and facilitates diversification of agricultural systems. Traditional field experiments are resource intensive and evaluate pre-crop values...

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Autores principales: Peltonen-Sainio, Pirjo, Jauhiainen, Lauri, Honkavaara, Eija, Wittke, Samantha, Karjalainen, Mika, Puttonen, Eetu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465551/
https://www.ncbi.nlm.nih.gov/pubmed/31024608
http://dx.doi.org/10.3389/fpls.2019.00462
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author Peltonen-Sainio, Pirjo
Jauhiainen, Lauri
Honkavaara, Eija
Wittke, Samantha
Karjalainen, Mika
Puttonen, Eetu
author_facet Peltonen-Sainio, Pirjo
Jauhiainen, Lauri
Honkavaara, Eija
Wittke, Samantha
Karjalainen, Mika
Puttonen, Eetu
author_sort Peltonen-Sainio, Pirjo
collection PubMed
description Monocultural land use challenges sustainability of agriculture. Pre-crop value indicates the benefits of a previous crop for a subsequent crop in crop sequencing and facilitates diversification of agricultural systems. Traditional field experiments are resource intensive and evaluate pre-crop values only for a limited number of previous and subsequent crops. We developed a dynamic method based on Sentinel-2 derived Normalized Difference Vegetation Index (NDVI) values to estimate pre-crop values on a field parcel scale. The NDVI-values were compared to the region specific 90th percentile of each crop and year and thereby, an NDVI-gap was determined. The NDVI-gaps for each subsequent crop in the case of monocultural crop sequencing were compared to that for other previous crops in rotation and thereby, pre-crop values for a high number of previous and subsequent crop combinations were estimated. The pre-crop values ranged from +16% to -16%. Especially grain legumes and rapeseed were valuable as pre-crops, which is well in line with results from field experiments. Such data on pre-crop values can be updated and expanded every year. For the first time, a high number of previous and following crop combinations, originating from farmer’s fields, is available to support diversification of currently monocultural crop sequencing patterns in agriculture.
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spelling pubmed-64655512019-04-25 Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations Peltonen-Sainio, Pirjo Jauhiainen, Lauri Honkavaara, Eija Wittke, Samantha Karjalainen, Mika Puttonen, Eetu Front Plant Sci Plant Science Monocultural land use challenges sustainability of agriculture. Pre-crop value indicates the benefits of a previous crop for a subsequent crop in crop sequencing and facilitates diversification of agricultural systems. Traditional field experiments are resource intensive and evaluate pre-crop values only for a limited number of previous and subsequent crops. We developed a dynamic method based on Sentinel-2 derived Normalized Difference Vegetation Index (NDVI) values to estimate pre-crop values on a field parcel scale. The NDVI-values were compared to the region specific 90th percentile of each crop and year and thereby, an NDVI-gap was determined. The NDVI-gaps for each subsequent crop in the case of monocultural crop sequencing were compared to that for other previous crops in rotation and thereby, pre-crop values for a high number of previous and subsequent crop combinations were estimated. The pre-crop values ranged from +16% to -16%. Especially grain legumes and rapeseed were valuable as pre-crops, which is well in line with results from field experiments. Such data on pre-crop values can be updated and expanded every year. For the first time, a high number of previous and following crop combinations, originating from farmer’s fields, is available to support diversification of currently monocultural crop sequencing patterns in agriculture. Frontiers Media S.A. 2019-04-09 /pmc/articles/PMC6465551/ /pubmed/31024608 http://dx.doi.org/10.3389/fpls.2019.00462 Text en Copyright © 2019 Peltonen-Sainio, Jauhiainen, Honkavaara, Wittke, Karjalainen and Puttonen. http://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
Peltonen-Sainio, Pirjo
Jauhiainen, Lauri
Honkavaara, Eija
Wittke, Samantha
Karjalainen, Mika
Puttonen, Eetu
Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations
title Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations
title_full Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations
title_fullStr Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations
title_full_unstemmed Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations
title_short Pre-crop Values From Satellite Images for Various Previous and Subsequent Crop Combinations
title_sort pre-crop values from satellite images for various previous and subsequent crop combinations
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6465551/
https://www.ncbi.nlm.nih.gov/pubmed/31024608
http://dx.doi.org/10.3389/fpls.2019.00462
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