Maize (Zea mays L.) stand density selection is an important management practice because yield is maximized at a particularoptimum value. Optimum stand density (OSD) varies across environments, and many have argued that ...

Maize (Zea mays L.) grain yield has a parabolic response to stand density changes, creating an optimum stand density that maximizes yield. Argentinean commercial hybrids differ in their optimum stand density when grown at ...

Dialogue Act classification is a relevant problem for the Natural Language Processing field either as a standalone task or when used as input for downstream applications. Despite its importance, most of the existing ...

Maize (Zea Mays L.) grain yield have increased during the last decades and there is an ample range of rates of grain yield increments reported in the literature. Maize hybrids comparison at their optimum plant density might ...

Multi-label classification consists of assigning one or multiple classes to each sample in a given dataset. However, the project of a multi-label classifier is usually limited to a small number of supervised samples as ...

We propose a nature-inspired approach to estimate the probability density function (pdf) used for data clustering based on the optimum-path forest algorithm (OPFC). OPFC interprets a dataset as a graph, whose nodes are the ...

1. There is increasing recognition that pollination deficits are limiting crop yields world-wide. However, management strategies for optimal insect pollination are still unclear for most crops. Current management focuses ...

The increased demand for juvenile tambaqui Colossoma macropomum for grow-out ponds and stocking programs in the Amazon state of Brazil has increased the transportation of this species. This study was designed to determine ...