Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was...
Ausführliche Beschreibung
Autor*in: |
Z Kavoosi [verfasserIn] M. H Raoufat [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch ; Persisch |
Erschienen: |
2020 |
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Übergeordnetes Werk: |
In: Journal of Agricultural Machinery - Ferdowsi University of Mashhad, 2016, 10(2020), 1, Seite 23-35 |
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Übergeordnetes Werk: |
volume:10 ; year:2020 ; number:1 ; pages:23-35 |
Links: |
Link aufrufen |
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DOI / URN: |
10.22067/jam.v10i1.71498 |
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Katalog-ID: |
DOAJ075183242 |
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10.22067/jam.v10i1.71498 doi (DE-627)DOAJ075183242 (DE-599)DOAJaba1e63233c246128add715c281d8ac8 DE-627 ger DE-627 rakwb eng per S1-972 TA1-2040 Z Kavoosi verfasserin aut Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) Engineering (General). Civil engineering (General) M. H Raoufat verfasserin aut In Journal of Agricultural Machinery Ferdowsi University of Mashhad, 2016 10(2020), 1, Seite 23-35 (DE-627)1749281643 (DE-600)3054989-9 24233943 nnns volume:10 year:2020 number:1 pages:23-35 https://doi.org/10.22067/jam.v10i1.71498 kostenfrei https://doaj.org/article/aba1e63233c246128add715c281d8ac8 kostenfrei https://jame.um.ac.ir/article_34006_38b58fd10f9f04f7e39fa8ecff4d9c7b.pdf kostenfrei https://doaj.org/toc/2228-6829 Journal toc kostenfrei https://doaj.org/toc/2423-3943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1 23-35 |
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10.22067/jam.v10i1.71498 doi (DE-627)DOAJ075183242 (DE-599)DOAJaba1e63233c246128add715c281d8ac8 DE-627 ger DE-627 rakwb eng per S1-972 TA1-2040 Z Kavoosi verfasserin aut Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) Engineering (General). Civil engineering (General) M. H Raoufat verfasserin aut In Journal of Agricultural Machinery Ferdowsi University of Mashhad, 2016 10(2020), 1, Seite 23-35 (DE-627)1749281643 (DE-600)3054989-9 24233943 nnns volume:10 year:2020 number:1 pages:23-35 https://doi.org/10.22067/jam.v10i1.71498 kostenfrei https://doaj.org/article/aba1e63233c246128add715c281d8ac8 kostenfrei https://jame.um.ac.ir/article_34006_38b58fd10f9f04f7e39fa8ecff4d9c7b.pdf kostenfrei https://doaj.org/toc/2228-6829 Journal toc kostenfrei https://doaj.org/toc/2423-3943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1 23-35 |
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10.22067/jam.v10i1.71498 doi (DE-627)DOAJ075183242 (DE-599)DOAJaba1e63233c246128add715c281d8ac8 DE-627 ger DE-627 rakwb eng per S1-972 TA1-2040 Z Kavoosi verfasserin aut Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) Engineering (General). Civil engineering (General) M. H Raoufat verfasserin aut In Journal of Agricultural Machinery Ferdowsi University of Mashhad, 2016 10(2020), 1, Seite 23-35 (DE-627)1749281643 (DE-600)3054989-9 24233943 nnns volume:10 year:2020 number:1 pages:23-35 https://doi.org/10.22067/jam.v10i1.71498 kostenfrei https://doaj.org/article/aba1e63233c246128add715c281d8ac8 kostenfrei https://jame.um.ac.ir/article_34006_38b58fd10f9f04f7e39fa8ecff4d9c7b.pdf kostenfrei https://doaj.org/toc/2228-6829 Journal toc kostenfrei https://doaj.org/toc/2423-3943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1 23-35 |
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10.22067/jam.v10i1.71498 doi (DE-627)DOAJ075183242 (DE-599)DOAJaba1e63233c246128add715c281d8ac8 DE-627 ger DE-627 rakwb eng per S1-972 TA1-2040 Z Kavoosi verfasserin aut Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) Engineering (General). Civil engineering (General) M. H Raoufat verfasserin aut In Journal of Agricultural Machinery Ferdowsi University of Mashhad, 2016 10(2020), 1, Seite 23-35 (DE-627)1749281643 (DE-600)3054989-9 24233943 nnns volume:10 year:2020 number:1 pages:23-35 https://doi.org/10.22067/jam.v10i1.71498 kostenfrei https://doaj.org/article/aba1e63233c246128add715c281d8ac8 kostenfrei https://jame.um.ac.ir/article_34006_38b58fd10f9f04f7e39fa8ecff4d9c7b.pdf kostenfrei https://doaj.org/toc/2228-6829 Journal toc kostenfrei https://doaj.org/toc/2423-3943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1 23-35 |
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10.22067/jam.v10i1.71498 doi (DE-627)DOAJ075183242 (DE-599)DOAJaba1e63233c246128add715c281d8ac8 DE-627 ger DE-627 rakwb eng per S1-972 TA1-2040 Z Kavoosi verfasserin aut Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) Engineering (General). Civil engineering (General) M. H Raoufat verfasserin aut In Journal of Agricultural Machinery Ferdowsi University of Mashhad, 2016 10(2020), 1, Seite 23-35 (DE-627)1749281643 (DE-600)3054989-9 24233943 nnns volume:10 year:2020 number:1 pages:23-35 https://doi.org/10.22067/jam.v10i1.71498 kostenfrei https://doaj.org/article/aba1e63233c246128add715c281d8ac8 kostenfrei https://jame.um.ac.ir/article_34006_38b58fd10f9f04f7e39fa8ecff4d9c7b.pdf kostenfrei https://doaj.org/toc/2228-6829 Journal toc kostenfrei https://doaj.org/toc/2423-3943 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2020 1 23-35 |
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Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System |
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In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. |
abstractGer |
In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. |
abstract_unstemmed |
In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1) were considered as treatments. The field was evaluated by ground and air observations. The purpose of this study was to investigate the capability of aerial images captured by an unmanned aerial vehicle (UAV) in identifying the distances between corn seedlings and as a result, assessing the quality of planter performance. Collected data from ground and aerial imagery were used to calculate seed establishment indices including multiple index, miss index, quality of feed index, precision index and also emergence rate index (ERI), for each plot. Images captured from10 m altitude (4.5 mm pixel-1) could give satisfactory results in relation to our objectives. Our results show that acceptable correlations existed between terrestrial and aerial seedlings spacing data sets (0.94<R<0.98) suggesting the aerial imagery is a good choice for evaluating the seed establishment and estimating ERI. Aerial imagery data source underestimated quality of feed and precision indices, overestimated miss index and could not provide processed data range needed for computing multiple index due to low image resolution, weeds presence within crop rows and overlapping of leaves. |
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