Virtual Booth

Sunlight is essential for plant growth, but finding the best location for maximum exposure can be challenging. Without proper sunlight, the plant will experience many problems. Although countermeasures and observation methods have existed for a long time, they still prove inaccurate and inefficient, leading to suboptimal plant health.

The project developed is a sunlight tracker based on Internet of Things, IoT used to monitor light intensity. It consists of an LDR sensor, DHT11 sensor, soil sensor, jumper wires, and an Arduino set. The device shall utilize the light dependent resistor to extract constant data on sunlight. The data received willthen be analyzed and used to plant placement efficiency and predict spots that could potentially receivethe most sunlight exposure.

The project aims to eliminate guesswork and improve agricultural efficiency. By having accurate,real-time sunlight data, users start to practice optimal plant placement which will subsequently increasethe plant’s overall health, development and productivity