Embedded E-Nose Application to Sense the Food Grain Storage Condition

With increased demand for food quality and health benefits, need for stringent scrutiny on the inspection of agrifood products have become mandatory. In Indian agriculture, the next challenge is to provide an effective, safe viable storage and handling methods particularly in unpredictable weather conditions. This can be done by using appropriate sensors and system to maintain environmental and storage parameters at predefined level by monitoring of the storage space. The paper presents the application of E-nose system along with smart embedded sensor system to study the deterioration of food grains under different stress (temperature, humidity, insects etc.) and room environmental conditions. The food grain conditions are artificially generated and the effects are studied with -Fox 2000 e-nose system. In order to analyze the data of rice, millet, wheat, jawar under different stress conditions, we performed different analysis viz, Principal Component Analysis & Discriminant Factorial Analysis on the acquired Enose data and results obtained are also presented.