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| Sanches,Guilherme Martineli; Paula,Maria Thereza Nonato de; Magalhães,Paulo Sérgio Graziano; Duft,Daniel Garbellini; Vitti,André César; Kolln,Oriel Tiago; Borges,Bernardo Melo Montes Nogueira; Franco,Henrique Coutinho Junqueira. |
| ABSTRACT: Sugarcane (saccharum spp.) in Brazil is managed on the basis of “production environments”. These “production environments” are used for many purposes, such as variety allocation, application of fertilizers and definition of the planting and harvesting periods. A quality classification is essential to ensure high economic returns. However, the classification is carried out by few and, most of the time, non-representative soil samples, showing unreal local conditions of soil spatial variability and resulting in classifications that are imprecise. One of the important tools in the precision agriculture technological package is the apparent electrical conductivity (ECa) sensors that can quickly map soil spatial variability with high-resolution and at... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Proximal soil sensors; Site-specific soil management; Soil apparent electrical conductivity; Precision agriculture technologies. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019000100010 |
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