SYSTEM FOR PLANT IDENTIFICATION AND ENVIRONMENTAL CONDITION CONTROL USING RASPBERRY PI PLATFORM
DOI:
https://doi.org/10.24867/31BE26GoronicKeywords:
Raspberry Pi, DHT11 sensor, Node-Red, ThingSpeak, digital image, OpenCV, NumPy, Canny algorithm, matchShapes () functionAbstract
This paper presents the most optimal algorithm for detecting a plant leaf using Raspberry Pi and Raspberry Pi Camera Module 3. Based on the captured leaf, the type of indoor plant is identified. With the help of the DHT11 sensor, humidity is measured and the room temperature is checked, with adjustments made if necessary by turning on the LED light and fan. The data is sent from the device to the ThingSpeak platform, where a graphical representation of the values is displayed, as well as to Node-Red, where the functionality is verified.
References
[1] Ivan Mezei (2016) Računarska elektronika, praktikum laboratorijskih vežbi
[2] https://components101.com/sensors/dht11-temperature-sensor (pristupljeno u septembru 2024.).
[3] https://dsp.etfbl.net/multimediji/2017/09_slika.pdf (pristupljeno u septembru 2024.).
[4] https://www.geeksforgeeks.org/filter-color-with-opencv/ (pristupljeno u septembru 2024.).
[5] https://towardsdatascience.com/canny-edge-detection-step-by-step-in-python-computer-vision-b49c3a2d8123 (pristupljeno u septembru 2024.).
[6] https://www.tutorialspoint.com/how-to-match-image-shapes-in-opencv-python2013 (pristupljeno u septembru 2024.).
[7] https://en.wikipedia.org/wiki/Node-RED (pristupljeno u septembru 2024.)
