Data Acquisition of Multiple Sensors in Greenhouse Using Arduino Platform

Self Cite

The uptake of plant nutrients causes nutritional imbalances in hydroponic recirculating systems. Generally, the biological parameters of nutrition solution systems are regulated by pH and nutrients that affect plant health; thus, they must be monitored and managed. In order to solve this issue, a fuzzy logic-based automated control system for intelligent hydroponics was developed. This paper describes the implementation of fuzzy logic controllers into a hydroponic monitoring system. This method produces a controlled hydroponic system in hydroponics by first gathering hydroponic plant data in real time. The system is created using the following steps: system design, prototyping, testing, and assessment. The system’s input consists of TDS and pH sensors, which are used to detect the plant’s nutrient content and pH. The system’s output is a 4-channel relay coupled to 4 small pumps for raising the pH level (pH up), reducing the pH level (pH down), and delivering nutrition AB mix. The fuzzy inference engine employs a combination of the Min-Max and Mamdani techniques. Defuzzification was performed using the centroid technique. The embedded fuzzy logic library (eFLL) is an auxiliary library used by the Arduino IDE. The developed mechanism makes appropriate selections about the nutrition solution management system and pH level.

Section: Data Acquisition Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Embedded fuzzy logic for controlling pH and nutrition in hydroponic cultivation

Nasution,

Satriyo,

Dhafir

et al. 2023

Self Cite

“…The temperature and humidity data in the drying room is sent to a computer device using the help of a microcontroller. The data are displayed in Microsoft Excel® using the Parallax Data Acquisition (PLX-DAQ) tool [5]. The PLX-DAQ is able to send the input sensors in the temperature inside and outside of the drying chamber very well.…”

Section: Dryer Softwarementioning

confidence: 99%

Deep bed drying performance on paddy using hybrid infrared-solar dryer

Nasution

Agustina

Fauza

2022

Self Cite

Hybrid infrared-solar dryer has a potential for drying fruits, vegetables, and grains such as paddy. This study aims to assess the performance of hybrid infrared-solar dryer on paddy in different of deep layer. Three different infrared heaters were used with a power of 25 W, 50 W, and 100 W. The hybrid infrared-solar dryer equipped with sensors placed in an open space so that sunlight can reach the drying chamber. The paddy samples were dried in different of deep layer (2 cm, 4 cm, 6 cm) until it reaches a moisture content of 14%. The input sensors in the drying chamber such as temperature, humidity, and moisture content were recorded using microcontroller and stored in Microsoft Excel® using the Parallax Data Acquisition tool. The algorithm was developed in order to control the heater from the input of temperature and humidity sensors by adjusting turn on/off relay. The study confirmed that the infrared heating power of 100 W is recommended for paddy drying if the ambient temperature is unfavourable (temperature less than 30°C). In general, the hybrid infrared-solar dryer with a power of 25 W-100 W has a potential to dry paddy quickly at a thickness of 2 cm-6 cm with a time range of 90-150 minutes.

“…In order to have real time temperature, humidity, and radiation data, the data acquisition system from Parallax Data Acquisition tool (PLX-DAQ) was used [10]. The software is using free add-ins for Microsoft Excel®.…”

Section: Data Acquisitionmentioning

confidence: 99%

Monitoring and performance of stem stalk water hyacinth drying using modified greenhouse dryer

Nasution

Satriyo

Raaini

et al. 2022

Self Cite

The development of modified greenhouse dryer is the latest drying technology today. The development of dryers with digitalization technology is a necessity in order to increase production efficiency at the farmer/craftsman level. The process of monitoring in the drying room was developed by utilizing data acquisition system technology. Whereas data on temperature, humidity, solar radiation, moisture content were plotted during the drying process. The objective of this study was to monitor the performance of the modified greenhouse dryer of stem stalk water hyacinth (Eichhornia crassipes) based on the Arduino nano microcontroller. The method was divided into three parts: hardware design, programming algorithm development, and dryer performance monitoring. The output of this study is expected to be an alternative method for monitoring of the greenhouse dryer on industrial scale. The results of this study could be an alternative dryer for other agricultural products, the method for monitoring of the dryer in real time will be an important information guiding the farmer during the drying process.