soybean grain yield monitoring and estimation aided by the mesoscale eta weather forecast model

Clicks: 219
ID: 168837
2007
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Ranked #23 of 47 articles by views in proceedings of 2017 3rd ieee international conference on sensing, signal processing and security, icsss 2017

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Abstract
The objective of this work was to monitor and estimate soybean grain yield based on an agronomical model coupled to a Geographic Information System (GIS) using meteorological data generated by the Eta mesoscale weather forecast model. The agronomic model produced bi-weekly penalizing indices maps and soybean grain yield estimates for the States of Mato Grosso do Sul, Paraná and São Paulo, Brazil, during crop year 2004/05. Result showed that meteorological data from the Eta model, incorporated in an agronomic model, allowed monitoring, in time and space, the soybean crop. In addition, the meteorological data from Eta model are provided in almost real time allowing a quantitative and quick evaluation of weather conditions for soybean production.
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freitas2007revistasoybean Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
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Journal proceedings of 2017 3rd ieee international conference on sensing, signal processing and security, icsss 2017
Year 2007
DOI
10.4136/ambi-agua.23
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