Prediction of Pesticides Residues Quantities in a Proposed Food and Suggestion of Suitable Utilization for Pesticides in a Long-Term Usage

Pesticides are defined as a substance or a mixture of substances used for preventing, destroying, repelling, or mitigation of any pest. They are Usually classified by the intended use, level of toxicity however this article is concerned with the classification by the type of the pest they control. It has been proved that from the millions of tons of the utilized pesticide only 1% reach the targeted pest. The rest appear as residues in food, soil, water in addition to air and often linked these residues with long-term side effects including neurological problems, bird defects, neurodevelopmental disorder, environmental impact on animals, cancer and weather. Despite the fact that most of the pesticides have a relative short effect on the targeted region and the targeted pests itself, only the chlorinated hydrocarbons (e.g. chlordane, Aldrin, DDT, HCH), in addition to limited organophosphorus pesticides (e.g. carbophenothion) have a known long residual action. On the other hand, it is difficult to predict whether a proposed new pesticide can or can’t cause these impacts since they are long term side effects. This article propose a numerical method termed as (Numerical Oriented Usage Regulator) to predict whether a proposed pesticide is significantly likely to make hazard residues in selected sort of food and suggest the regulations of the utilization of the proposed Pesticide. The US PDP’s (Pesticides Data Program) data from 1992 till 2017 were used as a data source to implement and test the proposed method. The objective of this article to assist the scientists to predict the possibility of a proposed pesticide to make above-limited residues in food which is a long term side effect and hard to predict, by using a relatively short term scale.