Utilizing IoT Technology for Pesticide Monitoring in Fruits and Vegetables

Abstract

The widespread concern about residual pesticides in fruits and vegetables labeled as organic has necessitated the improvement in more robust detection systems. This study introduces an innovative Internet of Things-based system designed to detect pesticides in organic produce. Utilizing advanced sensor technology coupled with IoT connectivity, the system can identify and quantify trace levels of chemical residues efficiently and in real-time. The core of this detection system comprises highly sensitive biosensors that react specifically to the chemical signatures of common pesticides. When integrated with IoT, these sensors continuously transmit data to a centralized platform, which is analyzed using sophisticated algorithms to determine contamination levels. The system's capability was validated through extensive testing of organic fruits and vegetables from different locations. The findings revealed a notable level of sensitivity and precision, indicating the system's ability to identify trace amounts of pesticide residues by rigorous organic certification criteria. This IoT-based approach enhances the trustworthiness of organic labeling and promotes consumer trust and safety by offering a scalable and real-time monitoring solution for the agricultural food industry. This technology exists beyond detection and is adapted for broader agricultural applications, including sustainable farming practices and enhanced supply chain transparency.