Innovation Owner
Mr. JEERRANAI CHAWSARN
Student
Details
The fruit spoilage detection system aims to reduce agricultural losses by using image-based classification to remove spoiled produce from the supply chain. The system demonstrates high efficiency and rapid prediction capabilities.
The development of a fruit spoilage detection system originates from the need to reduce agricultural product losses, a global issue affecting both the agricultural and food distribution industries. Spoiled fruit can negatively impact product quality and result in significant economic losses.
The primary goal of this system is to assist in screening and removing unsuitable fruit from the supply chain, thereby preserving product quality and meeting consumer demands for fresh produce. The system was designed to simulate the sorting process by utilizing images as a key factor in detecting spoiled fruit. Experimental results demonstrated high efficiency and rapid prediction capabilities, highlighting the system’s potential for practical applications.
Objective
The objective is to screen and separate unsuitable fruit from the supply chain to maintain product quality, meet consumer demand for fresh produce, and reduce food waste in the industrial sector.
The development of the fruit spoilage detection system aims to:
- Assist in screening and separating unsuitable fruit from the supply chain.
- Preserve product quality and meet consumer demands for fresh produce.
- Reduce the amount of spoiled food waste in the industrial sector.