Pesticide Risk Prediction

Pesticide risk prediction
 
 

PestiPredict - Pesticide risk prediction engine

As seen in the case of ethylene-oxide where thousands of products were recalled worldwide in 2021 and 2022, the pesticides that are forbidden and typically not included in the multi-modal tests can cause completely unexpected and large-volume recalls.

Purpose

The primary objective of PestiPredict is to equip food manufacturers with a tool that can predict pesticides above the permitted maximum residue levels that are not known to exist in certain raw materials using machine learning: The so-called “unknown-unknowns”.

Method

iComplai PestiPredict integrates a robust machine learning (ML) algorithm that analyzes a comprehensive set of data including pesticide residue testing results, notifications worldwide, regulatory landscape to name a few. Utilizing advanced data analytics and machine learning, the system predicts the likelihood of which pesticide may appear on which raw material, for a total of app. 5.000 raw material and origin combinations, allowing for targeted and timely testing and quality control measures. The system also analyzes the gap between the user’s existing test protocols and the predicted pesticides, reducing the analysis time for the user.

Results

The use of AI-infused capabilities demonstrated measurable quantitative and qualitative results:

  1. Based on the raw material data availability, the accuracy rate of pesticide risk prediction reaches up to 96%. (Example: peppers from Turkey)

  2. Prevention and saving of potential food recall of around €10 million

  3. The time and consequently cost saving of a risk analyst approximating around €30k per year and person

Significance

This feature enables food producers to switch from a reactive to proactive anticipation of potential pesticide residue risks and effectively evaluate their possible effects, thereby reducing and reducing the risk of recalls and consumer health issues. Given their significant carcinogenic potential, the control of pesticide residues is vital for safeguarding public health.

Here is a link to our press release about the pesticide risk prediction.

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