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...

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Autores principales:	Z Kavoosi, M. H Raoufat
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2020
Materias:	crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/aba1e63233c246128add715c281d8ac8
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spelling	oai:doaj.org-article:aba1e63233c246128add715c281d8ac82021-11-14T06:35:16ZFeasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System2228-68292423-394310.22067/jam.v10i1.71498https://doaj.org/article/aba1e63233c246128add715c281d8ac82020-03-01T00:00:00Zhttps://jame.um.ac.ir/article_34006_38b58fd10f9f04f7e39fa8ecff4d9c7b.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943In 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.Z KavoosiM. H RaoufatFerdowsi University of Mashhadarticlecrop residue cover (crc)multiple indexmiss indexquality of feed indexprecision indexAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 10, Iss 1, Pp 23-35 (2020)
institution	DOAJ
collection	DOAJ
language	EN FA
topic	crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	crop residue cover (crc) multiple index miss index quality of feed index precision index Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 Z Kavoosi M. H Raoufat Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
description	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.
format	article
author	Z Kavoosi M. H Raoufat
author_facet	Z Kavoosi M. H Raoufat
author_sort	Z Kavoosi
title	Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
title_short	Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
title_full	Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
title_fullStr	Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
title_full_unstemmed	Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System
title_sort	feasibility of drone imagery for monitoring performance of a modified drill in a conservation farming system
publisher	Ferdowsi University of Mashhad
publishDate	2020
url	https://doaj.org/article/aba1e63233c246128add715c281d8ac8
work_keys_str_mv	AT zkavoosi feasibilityofdroneimageryformonitoringperformanceofamodifieddrillinaconservationfarmingsystem AT mhraoufat feasibilityofdroneimageryformonitoringperformanceofamodifieddrillinaconservationfarmingsystem
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Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System

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