Machine Vision Recognition System for Iceberg Lettuce Health Condition on Raspberry Pi 4b: A Mobile Net SSD v2 Inference Approach (original) (raw)

Lettuce provides vitamin C, calcium, potassium, and folate. Within iceberg lettuce, the nutrients will help you fulfill the normal daily requirements for many vitamins and minerals. It is most commonly cultivated as a vegetable leaf, but sometimes for its stem and seeds. Lettuce is most widely used for salads, but it can also be used in other foods, such as soups, sandwiches, and wraps; it can be grilled too. Many farmers produce lettuces on the farm. Producing lettuces isn’t that an easy task it requires manpower and hard work. People who buy lettuce don’t have the skill to determine if the lettuce is healthy or have a disease, they just based only on the color of the lettuce. The study developed a system project that focuses on lettuce health recognition. The system determines if the lettuce is healthy or disease. It is based on machine vision using deep learning, it is connected to a microcontroller raspberry pi 4b. Lettuce health recognition has been done with an overall testing accuracy of 97.59%.