Smart mechatronics systems in agriculture can be traced back to the mid-1980s, when research into automated fruit harvesting began Japan, Europe, and United States. Impressive advances have been made since then developing for use modern agriculture. The aim of this study was review smart applications introduced date, different areas sector which they are being employed. Various literature searc...

Keyword extraction attracts much attention for its significant role in various natural language processing tasks. While some existing methods for keyword extraction have considered using single type of semantic relatedness between words or inherent attributes of words, almost all of them ignore two important issues: 1) how to fuse multiple types of semantic relations between words into a unifor...

In recent years, many private corporations and government organizations have digitized corpuses of legacy paper documents. Often, these organizations hope to take advantage of digital representations to transform costly manual tasks associated with paper archives into less-costly computer-assisted tasks. The most common approach toward automated information extraction is through inverted indexi...

abstractthis study examined information flow on minisett technology among yam farmers in delta state, nigeria. a sample size of 180 respondents was involved in the study. data were obtained from respondents of the study through the use of a validated interview schedule. percentage, frequency count and mean scores were used to summarize data, while line diagrams were used to develop maps of info...

Globally, agriculture provides a livelihood for more people than any other industry. Growth in agricultural production and productivity is needed to raise rural incomes, to support the increasing numbers dependent on the industry and to meet the food and raw material needs of the faster growing urban populations. Enhancing agricultural productivity contributes to industrial growth by providing ...

A hierarchical framework is proposed to address the issues of modeling different type of words in keyword spotting (KWS). Keyword models are built at various levels according to the availability of training set resources for each individual word. The proposed approach improves the performance of KWS even when no training speech is available for the keywords. It also suggests an easier way to co...

boolean byte class double else extends final finally float if implements int interface long native new private public return short static super synchronized this throw throws transient try void volatile while ( ) [ ] { } ; , . = Figure 1: Java keywords.