Automatic Fruit Sorting Machine Based on Weight

Abstract: Size is a crucial determinant of quality in the visual inspection-based sorting of fruits. While image processing technology is frequently utilized in large-scale fruit and vegetable operations for sorting, smaller vendors cannot afford these systems since they require complex and costly gear for image capture and processing. This study presents an affordable fruit sorting system that is suited for smaller-scale businesses. As fruits travel over conveyor belts to packaging facilities, it uses an automated material handling system to sort them by weight. By removing the monotonous tasks that humans often perform, the system improves accuracy and efficiency. A key factor in the design of sorting systems in food processing is weight. For fruit sorting by weight, a layout with load cells is thought to be the most efficient method. Accurate, reliable, and quantitative classification is made possible by this technique. The automated approach lowers the possibility of human error while simultaneously expediting the sorting process. Because it has a direct impact on the end product's quality and customer satisfaction, fruit sorting and grading is an essential step in agriculture and food processing. Fruit grading is a manual process that has historically been labor-intensive, uneven, and time-consuming. Manual techniques lower overall accuracy and efficiency and raise labor expenses, particularly when dealing with big volumes. Automation provides a dependable and effective way to address these issues. The creation and deployment of an automated fruit sorting system based on weight is described in this project. Its main component is a load cell, also known as a weight sensor, which precisely measures the fruit's weight. The fruit is categorized into predetermined weight groups by a microcontroller (such an Arduino) that processes the acquired data. After being sorted, the fruit is guided by mechanical elements such as conveyor arms or diverter gates into certain bins or trays. This method produces outcomes quickly, reliably, and reproducibly while drastically reducing human effort and related errors. It supports the upholding of constant quality standards, which is advantageous to fruit vendors, farmers, and companies that produce food. The system may be used by businesses of all sizes because it is inexpensive, user-friendly, and scalable. In order to increase productivity, improve quality control, and improve post-harvest management, this project advances smart farming and agricultural automation by automating the fruit sorting process.