A novel approach to smart autonomous monitoring of indoor plant health based on leaf color

Abstract

Automation of technology is being implemented in various fields, including deep space research and the automobile industry. However, the real necessity for automation is identified in the agricultural sector. Therefore, this paper focuses on addressing this requirement and is primarily concerned with automating the determination of a plant's health based on the color content present in any one of its leaves, while simultaneously monitoring it. A plant's leaf is examined, and the algorithm makes the decision of whether to provide water and light whenever there is a notable change in the leaf's color. The automation of watering and lighting is explained in detail in the proposed methodology. This paper explores the vital role of automation in agriculture, focusing on using color analysis of plant leaves to automate health assessment. The algorithm used monitors and responds to color changes, enabling informed decisions on water and light provision for optimal plant growth.