Visualization of pesticide residue data

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منابع مشابه

Optical Technologies for Determination of Pesticide Residue

Pesticides are essential for agricultural and horticultural crops production. Pesticides are commonly classified as insecticide, fungicide, herbicide, rodenticide, etc. These pesticides act against insects, rodents, weeds which are harmful in agricultural or horticultural planting. Normally, farmers use the pesticides following the instruction written in the package. In most cases, the pesticid...

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Value Determination of Pesticide Residue-Tested Potatoes*

This study analyzed consumer response to potatoes tested for pesticide residues. These potatoes were packed in five pound bags and priced at three different levels in participating supermarkets. Even when sold at identical prices, consumers continued to favor the traditional round white over the residue-tested potatoes. However, sales of residue-tested were equal at all three price levels, indi...

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Review: Biosensor for detection of pesticide residue

Pesticide residue is a common contamination in the environment and food. Various analytical methods have been developed to detect and analyze the residues. Biosensor is one of the fast detection technologies. In this paper, we reviewed those biosensors according to their unique detection mechanism, fabrication and incorporation with nanomaterials.

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Pesticide residue analysis (1999-2000): a review.

The literature of pesticide residue analysis is reviewed selectively for the period 1999-2000. Analyses of a wide range of pesticide classes and sample types, as well as some related organic pollutants, are covered. Studies of exposure and monitoring as well as pesticide degradation, persistance, leaching, mobility, and metabolism studies are included.

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A new approach for data visualization problem

Data visualization is the process of transforming data, information, and knowledge into visual form, making use of humans’ natural visual capabilities which reveals relationships in data sets that are not evident from the raw data, by using mathematical techniques to reduce the number of dimensions in the data set while preserving the relevant inherent properties. In this paper, we formulated d...

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ژورنال

عنوان ژورنال: Journal of Maps

سال: 2017

ISSN: 1744-5647

DOI: 10.1080/17445647.2017.1400477