IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

A Novel Dates Palm Processing and Packaging Management System based on IoT and Deep Learning Approaches

Main Article Content

Ravindra Kumar Agarwal, Dhanashri Sahasrabuddhe, Ayesha Riyajuddin Mujawar, Akhilesh Kumar Jadhav, Rajendra Pujari, Ahmad Jamal, Nookala Venu

Abstract

The demand for dates is on the rise, and countries like India are producing them in large quantities. However, the manual process of processing and packaging dates can be time-consuming and requires a lot of human labor. Additionally, the temperature during the processing of dates is critical, as improper temperature can harm the fruit. To store dates for a extended time deprived of any harm, they need to be packed in airtight packets, which is currently done manually. In this research, we suggest an well-organized and programmed method by means of the newest machineries to reduce the need for human labor and improve the accuracy of the process. The proposed model is a prototype that uses internet of things (IOT) methods for easy one-to-one care and control through a smartphone app. It is also furnished with various instruments to automate the method and purposes. Our research shows that this system has the potential to revolutionize the field of involuntary dates dispensation and wrapping. One of the main benefits of the proposed system is its ability to reduce the reliance on human labor, which can be in short supply in the dates industry. By automating the process and using advanced technologies, the system can improve efficiency and accuracy, leading to better quality dates and reduced waste. Additionally, the incorporation of various sensors and actuators allows the system to perform a wide range of functions and processes automatically, further reducing the need for human intervention.

Article Details