CODET: An artificial intelligence-based multisensory system for precision harvesting and purchase decisions

Abstract

Fruit ripeness detection plays a key role in precision agriculture, which enables optimal harvesting and transportation of produce to retailers. Various methods have been explored as means to detect this feature; however, in modern age, no standardised method exists to classify fruits based on their ripening state. Thus, this project aims to design and develop a smart system based on Artificial Intelligence to evaluate the ripeness state. The result is a portable handheld device capable of detecting maturity based on the physical properties of the fruit in real-time. Codet is a portable fruit ripeness prediction system with hardware and software components that make these predictions possible. It consists of an RGBC sensor, an 18-channel spectrometer (from 410nm to 940nm), an 11-channel spectrometer (from 430nm to 670nm), an ultrasonic sensor, time of flight sensors and a camera. With the help of a display, the user can determine the ripeness state of a fruit with just a button press. The device can identify the ripeness state of fruits with an accuracy of 99.9%.