Vision system for soil nutrient detection using fuzzy logic

Added Title

IEEE Region Annual International Conference (10th)
Proceedings/TENCON

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volume

2018-October

First Page

617

Last Page

622

Publication Date

2-22-2019

Abstract

Several methods exists to identify the nutrient content of the soil. The most popular method is by using Soil Test Kit (STK). STK gives soil qualitative level of macronutrients and pH. Chemicals that change color upon reaction with soil samples can determine macronutrients such as nitrogen, phosphorus, and potassium. These chemicals are going to be processed based on the method given by the kit. With the use of different algorithms that is commonly used for classification, mostly, a vision system is required. In this study, the development of the vision system that will capture the image of the soil sample after conducting soil testing will be tackled together with the image processing and feature extraction. Using the extracted features as the input of the fuzzy logic gives accurate result in determining the nutrient level of the soil.

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Digitial Object Identifier (DOI)

10.1109/TENCON.2018.8650242

Disciplines

Manufacturing

Keywords

Fuzzy logic; Image processing; Soils—Analysis

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