Computer Vision Technology for Quality Monitoring in Smart Drying System

Moscetti, Roberto; Chakravartula, Swathi Sirisha Nallan; Bandiera, Andrea; Bedini, Giacomo; Massantini, Riccardo

doi:10.1109/metroagrifor50201.2020.9277543

Cited by 3 publications

(1 citation statement)

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“…The implementation of Internet of Things (IoT) technology has initiated the advancement of precision agriculture [9,10], computer vision [11,12], smart control and monitoring systems within greenhouse environments. There is a scarcity of research pertaining to the application of IoT technology in the context of greenhouse drying systems.…”

Section: Introductionmentioning

confidence: 99%

Internet of things based smart system in the modified greenhouse solar dryer for agricultural products

Nasution,

Hafiz

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The objective of this study is to develop a smart monitoring and control system for a modified greenhouse dryer for agricultural products utilizing Internet of Things (IoT) technologies and wireless sensor networks. This system enables real-time monitoring of air temperature and humidity, activation of the exhaust fan, adjustment of the heater, and determination of the optimal heating time. The investigation focused on the implementation of a microcontroller in the modified greenhouse system. The system possesses the capability to issue commands for the initiation of the heater and exhaust fan while also facilitating real-time monitoring. The system is equipped with an emergency command that can temporarily halt activities. The system utilizes two different temperature ranges, namely 45°C–50°C and 35°C–65°C, to analyse variations in heater usage across different temperature levels. Both software tools (Telegram and Google Excel spreadsheet) possess the functionality to monitor and regulate the temperature within a greenhouse by utilizing the chat network Telegram. Furthermore, the users possess the capability to store and access data related to the greenhouse system within an Excel spreadsheet.

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Section: Introductionmentioning

confidence: 99%