Profit maps for precisión agriculture

During the last few years, yield maps have become economically feasible for farmers due to technological advances in precision agriculture. However, evidence of yield profitability is still uncertain, and variability in yield has seldom been correlated to variability in profits. Differently from yie...

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Autores principales:	Bazzi,Claudio L, Souza,Eduardo G, Khosla,Raj, Uribe-Opazo,Miguel A, Schenatto,Kelyn
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal 2015
Materias:	Precision agriculture profit map profitability map
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202015000300007
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spelling	oai:scielo:S0718-162020150003000072016-03-15Profit maps for precisión agricultureBazzi,Claudio LSouza,Eduardo GKhosla,RajUribe-Opazo,Miguel ASchenatto,Kelyn Precision agriculture profit map profitability map During the last few years, yield maps have become economically feasible for farmers due to technological advances in precision agriculture. However, evidence of yield profitability is still uncertain, and variability in yield has seldom been correlated to variability in profits. Differently from yield maps, profit maps can supply additional information about the economic return for each particular area of a field. The objective of the present work was to study how management decisions can be facilitated by transforming yield-map datasets into profit maps and the importance of the selection of interpolator type. Yield and profit maps were generated for each data set (three soybean fields and one corn field) using the inverse of the distance (ID), the inverse of the square of the distance (IDS) and kriging (KRG) as interpolation methods. It can be concluded that profit maps are an important tool for the diagnosis of the spatial variability of economic return because they can assist farmers with management decision-making. The impact of the interpolator type was less than 200 kg ha-1 for the yield and US$ 30 ha-1 for the profit, indicating that the choice of interpolator type is of secondary importance. In addition, the profit maps showed large variability that would not be easily found if only yield maps were analyzed.info:eu-repo/semantics/openAccessPontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería ForestalCiencia e investigación agraria v.42 n.3 20152015-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202015000300007en10.4067/S0718-16202015000300007
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Precision agriculture profit map profitability map
spellingShingle	Precision agriculture profit map profitability map Bazzi,Claudio L Souza,Eduardo G Khosla,Raj Uribe-Opazo,Miguel A Schenatto,Kelyn Profit maps for precisión agriculture
description	During the last few years, yield maps have become economically feasible for farmers due to technological advances in precision agriculture. However, evidence of yield profitability is still uncertain, and variability in yield has seldom been correlated to variability in profits. Differently from yield maps, profit maps can supply additional information about the economic return for each particular area of a field. The objective of the present work was to study how management decisions can be facilitated by transforming yield-map datasets into profit maps and the importance of the selection of interpolator type. Yield and profit maps were generated for each data set (three soybean fields and one corn field) using the inverse of the distance (ID), the inverse of the square of the distance (IDS) and kriging (KRG) as interpolation methods. It can be concluded that profit maps are an important tool for the diagnosis of the spatial variability of economic return because they can assist farmers with management decision-making. The impact of the interpolator type was less than 200 kg ha-1 for the yield and US$ 30 ha-1 for the profit, indicating that the choice of interpolator type is of secondary importance. In addition, the profit maps showed large variability that would not be easily found if only yield maps were analyzed.
author	Bazzi,Claudio L Souza,Eduardo G Khosla,Raj Uribe-Opazo,Miguel A Schenatto,Kelyn
author_facet	Bazzi,Claudio L Souza,Eduardo G Khosla,Raj Uribe-Opazo,Miguel A Schenatto,Kelyn
author_sort	Bazzi,Claudio L
title	Profit maps for precisión agriculture
title_short	Profit maps for precisión agriculture
title_full	Profit maps for precisión agriculture
title_fullStr	Profit maps for precisión agriculture
title_full_unstemmed	Profit maps for precisión agriculture
title_sort	profit maps for precisión agriculture
publisher	Pontificia Universidad Católica de Chile. Facultad de Agronomía e Ingeniería Forestal
publishDate	2015
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202015000300007
work_keys_str_mv	AT bazziclaudiol profitmapsforprecisionagriculture AT souzaeduardog profitmapsforprecisionagriculture AT khoslaraj profitmapsforprecisionagriculture AT uribeopazomiguela profitmapsforprecisionagriculture AT schenattokelyn profitmapsforprecisionagriculture
_version_	1714202166144532480

Profit maps for precisión agriculture

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