Intelligent soil fertility detection system (ISFDS)

Ahmad Puaad, Abdul Rahman (2017) Intelligent soil fertility detection system (ISFDS). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Research on methods and technologies to improve the efficiency of water use has been conducted using various control techniques. However, most of the consumer of this global asset are gardeners. This project uses an Arduino as its microcontroller which can help the gardener that usually used a normal method of planting for their vegetables or fruits. Due to its flexibility, it also compatible with MATLAB software to do data analysis. ISFDS will eliminate the use of a timer to water the plant, which may damage the plant due to excessive watering. The process involves testing the ISFDS using a real-world simulation problem, where the AI technique implemented by using a fuzzy logic. The advanced version of ISFDS includes the implementation of IoT to give an alert through smartphone about the plant condition.

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