Development of Plant Growth Monitoring in Hydroponic Using Image Processing

Abstract

Hydroponics is a growing trend in agriculture in Asian countries. Ensure that the plant receives the proper concentration of nutrients solution, air temperature, light, and humidity for healthy plant grow. Lack of one of these factors may cause plants to be stunted and the production of crops to fail. The experiment conducted at two different places for environmental manipulation thus the plant growth observed. Direct measurement of plant growth usually destructive and can cause partial or whole plant damage. Image processing can be used to create an automated system for monitoring plant growth in height changes.  The primary objective of this project is to develop a monitoring system for plant growth in hydroponic plants that located at two different places and to access data derived from images to observe plant height. The experiment was setup and plant images were captured for 19 days then run in PyCharm software to get the plant heights.  The analysis tool were Minitab and Orange software. The results show the image processing method was strongly correlated with manual measurement having an R2 value of 0.914. Image processing method can replace the manual and outdoor plants give better growth.