Automatic Plant Watering System  for Local Red Onion Palu using Arduino

Setiawan, Iman; Junaidi, Junaidi; Fadjryani, Fadjryani; Amaliah, Fika Reski

doi:10.15575/join.v7i1.813

Cited by 5 publications

(6 citation statements)

References 10 publications

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“…Automatic watering devices can detect soil moisture using sensors and Arduino. The program on Arduino then detects soil moisture at a certain time and then automatically pumps water [3].…”

Section: Introductionmentioning

confidence: 99%

Mobile App for Plant Watering System with Verticulture Planting Technique

Setiawan,

Junaidi,

Fadjryani

et al. 2023

Advances in Physics Research

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The conversion of agricultural land into residential areas has resulted in a decrease in the availability of agricultural land, so it is necessary to implement an intensive agricultural pattern with a high level of productivity. One of them is by applying a vertical farming pattern or known as verticulture. The technique of planting verticulture is an agricultural cultivation system solution that can be applied in densely populated areas because it does not require large areas of land. Driven by technological developments in the current era, verticulture no longer use conventional methods. Automation processes using microcontrollers have been widely used in this field with the aim of monitoring, controlling and predicting. The purpose of this research is to build a mobile application on a watering system with vertical planting techniques. This research begins with designing a system using Arduino Uno, Soil Moisture Sensor, SD Card Module, and ESP-01. After that, calibrate the sensor and sensor sensitivity using relative frequencies. Then analyze the stored soil moisture data using a boxplot, pearson correlation, and wilcoxon test then integrate the data in a mobile web application. The research results show that the soil moisture of each sensor has a different pattern and average. The sensor can detect soil moisture in dry and wet conditions well so that it can automatically water plant.

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“…Automatic watering devices can detect soil moisture using sensors and Arduino. The program on Arduino then detects soil moisture at a certain time and then automatically pumps water [3].…”

Section: Introductionmentioning

confidence: 99%

Mobile App for Plant Watering System with Verticulture Planting Technique

Setiawan,

Junaidi,

Fadjryani

et al. 2023

Advances in Physics Research

Self Cite

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“…There are several reasons why the data may be lost, including because the equipment is not working, bad weather, the person being observed is sick, or the data is not entered correctly. Previous research by Setiawan et al 2022, regarding the manufacture of an Arduino-based automatic watering device using a soil sensor to measure the moisture level in the soil, has missing values. The success of this automatic watering device depends on how the sensor detects soil moisture as seen from the growth of the red onion and the weight of the red onion after harvest.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Method for Handling Missing Values in Soil Moisture Sensor Data

Reski Amaliah,

Rais,

Setiawan

et al. 2023

JSMDS

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Several imputation techniques have been developed specifically to deal with missing values. This research used data from soil moisture sensors for 34 days where there are missing values. Size of soil moisture sensor data to be quite large. So that with the missing value, it is difficult to determine how well the imputation technique is applied. Therefore, imputation technique is performed on the generated data based on the distribution of soil moisture sensor data so that an evaluation of the utilization of the imputation technique can be carried out on large data containing missing values. The method used in this study is Kalman Filter. Evaluation using the Mean Average Percentage Error (MAPE) after intentionally removed using the Missing Completely at Random (MCAR) technique with a missing rate of 5%, 10%, and 15%. The results showed that soil moisture data has a Box-Cox power exponential distribution. It was found that for generating data, Kalman Filter method has not much different MAPE value for 100 and 1000 data with missing rate was 5%, 10%, and 15%. The results of estimating missing values with the Kalman Filter on the soil moisture sensor data are in line with the soil moisture sensor data

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“…In the field of medicine, numerous systems have been created, including [5]- [9]. Expert systems can be used in the classroom to diagnose strokes as a learning tool.…”

Section: Introductionmentioning

confidence: 99%

Application of the Minkowski Distance Similarity Method in Case-Based Reasoning for Stroke Diagnosis

Rumuy,

Delima,

Saputra

et al. 2023

JUITA

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A Stroke is a cerebrovascular disease characterized by impaired brain function due to damage or death of brain tissue caused by reduced or blocked blood and oxygen flow to the brain. Expert systems can be used as learning aids for medical students to diagnose stroke. Medical records of stroke cases can be reused as a reference for diagnosing stroke when there are new cases, known as the case-based reasoning (CBR) method. This study implements the Minkowski distance similarity method in CBR to calculate the similarity value between cases, where each similar case has the same solution. This study uses the Minkowski distance similarity method in CBR to obtain the most optimal value of r and the most appropriate threshold value in the expert system for stroke diagnosis. The diagnosis process is carried out by inputting the patient's condition, symptoms, and risk factors. Then the system will calculate the similarity value and take the case with the highest similarity value as the solution, providing that the similarity value must be greater than or equal to the threshold value. Based on system testing, the best accuracy value was achieved by applying a threshold value of 75 with an r value of 3 or 4, with an accuracy rate of 88,89%, a recall value of 88%, and a precision of 100%.

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Automatic Plant Watering System for Local Red Onion Palu using Arduino

Cited by 5 publications

References 10 publications

Mobile App for Plant Watering System with Verticulture Planting Technique

Mobile App for Plant Watering System with Verticulture Planting Technique

Kalman Filter Method for Handling Missing Values in Soil Moisture Sensor Data

Application of the Minkowski Distance Similarity Method in Case-Based Reasoning for Stroke Diagnosis

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