What is it about?
This research presents a smart system that automatically monitors the quality of fruits using connected sensors and artificial intelligence. The system can detect changes in fruit condition during storage and transportation, helping farmers, suppliers, and retailers identify quality issues early. By providing real-time information, the approach can reduce food waste, improve decision-making, and ensure that consumers receive fresher and better-quality fruits. The proposed solution is designed to work on a large scale, making it suitable for modern agricultural supply chains.
Featured Image
Photo by Reema krtt on Unsplash
Why is it important?
Fruit quality can change rapidly during storage and transportation, leading to significant food waste and economic losses. Traditional quality inspection methods are often manual, time-consuming, and unable to provide continuous monitoring. This research is important because it enables real-time and automated fruit quality assessment, helping farmers, suppliers, and retailers detect problems early. By improving quality control and reducing waste, the proposed system can enhance food security, increase profits, and ensure that consumers receive fresher and safer fruits.
Perspectives
This research demonstrates how digital technologies can transform agricultural supply chains by enabling continuous and automated monitoring of fruit quality. Farmers can use the system to improve post-harvest management, suppliers can reduce losses during transportation, and retailers can ensure that higher-quality products reach consumers. In the long term, integrating smart sensors and artificial intelligence into food supply chains can contribute to more sustainable agriculture, reduced food waste, improved resource utilization, and enhanced food security.
Dr. Rama Subbanna
Aditya University, Andhra Pradesh
Read the Original
This page is a summary of: Leveraging IoT and Machine Learning for Automated Fruit Quality Monitoring: A Scalable Approach for Supply Chain Optimization, International Journal of Computer Applications, September 2025, Foundation of Computer Science,
DOI: 10.5120/ijca2025925326.
You can read the full text:
Contributors
The following have contributed to this page
