Rice is the most important durable food product for more than half of world’s population, as it very nutritious in terms carbohydrate containment and can meet a large part human caloric needs on daily basis. The sensitivity rice fortified with spearmint or basil was evaluated three stored insect species: Sitophilus oryzae (L.) (Coleoptera: Curculionidae), Rhyzopertha dominica (F.) Bostrychidae)...

This paper presents the application of a time-delay neural network to the detection and classification of time signatures produced by insect sounds in a stored grain silo. Conventional methodr of insect monitoring can only detecr some of rhe adulr insects and none of the larvae insects, which are the most destructive to the grain. The acoustic vibrations generated by the adult and larvae when m...

This article focuses on a newly defined category of insect as food: packaged processed insects (PPIs). PPIs integrate dry (in pieces or in powder) food products such snacks, pasta, baked goods. have been the market for few years, and they are still far from being mainstream. The commercial challenges face, all which addressed this article, include production costs, certifications regulations, m...

The purpose of this research is to explore the feasibility of applying an electronic nose for the intelligent monitoring of injurious insects in a stored grain environment. In this study, we employed an electronic nose to sample rough rice that contained three degrees of red flour beetle (Tribolium castaneum Herbst) infestation for different durations-light degree (LD), middle degree (MD), and ...

In this study, a basic insect detection system consisting of manual-focus camera, Jetson Nano—a low-cost, low-power single-board computer, and trained deep learning model was developed. The validated through live visual feed. Detecting, classifying, monitoring pests in grain storage or food facility real time is vital to making control decisions. camera captures the image passes it Nano for pro...