Toward a higher yield: a wireless sensor network-based temperature monitoring and fan-circulating system for precision cultivation in plant factories

Jiang, Joe-Air; Liao, Minfu; Huang, Chen-Kang; Chou, Cheng‐Ying; Yeh, Shih-Hao; Lin, Ta‐Te; Fang, Wei

doi:10.1007/s11119-018-9565-6

Cited by 18 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…J. Jiang et al [10] implemented a WSN automated system for monitoring the temperature and controlling the fan-circulating process in a plant factory. By maintaining the perfect temperature for the lettuce in the solar, the period of the crops' growth decreases.…”

Section: Related Workmentioning

confidence: 99%

Digital farming based on a smart and user‐friendly IoT irrigation system: A conifer nursery case study

Florea

Popa

Morariu

et al. 2023

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

Although digital technologies on farms bridge the productivity‐sustainability gap, they are not yet widely adopted. Familiarising farmers with digital systems is as important as developing advanced technological platforms: As farmers become accustomed to and feel in control of digital systems, they will find it easier to accept, adapt and keep pace with technological developments. This article describes the design and implementation of a flexible, scalable, easy‐to‐use and extensible IoT embedded system to control sprinkler irrigation in an outdoor Thuja conifer nursery in an automated mode and under varying weather. Irrigation is controlled by Mamdani Fuzzy Inference Logic based on rainfall prediction and real‐time monitoring of the plants. The IoT system provides a control dashboard and offers three operating modes: manual, automated or scheduled (daily, weekly, and monthly). The system is robust in the event of a power outage or loss of connectivity. The code is available on GitHub. Sensors, solenoid valves, Raspberry Pi microcontrollers, fuzzy logic systems, a web interface and a cloud service create a sustainable solution that makes water use more efficient, creates a healthy environment for crops (using just the right amount of water), makes life easier for farmers, and exposes them to the benefits of the IoT.

show abstract

Section: Related Workmentioning

confidence: 99%

Digital farming based on a smart and user‐friendly IoT irrigation system: A conifer nursery case study

Florea

Popa

Morariu

et al. 2023

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

show abstract

“…These methods offer year-round harvests, weather protection, easy transportation, support for various crop cultivars, and diseasefree practices, making them crucial for addressing food security concerns in the global economy. Aeroponics, a soilless method with an innovative tower structure, has shown significant improvements in crop yields ranging from 7% to 65%, accelerated crop maturation rates, and optimized water, pesticide and fertilizer consumption patterns when compared to the traditional farming techniques [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…Artificial Intelligence (AI) has shown potential for improving crop yield predictions in fields like healthcare, robotics, and meteorology. It can enhance efficiency and accuracy in agricultural yield prediction by optimizing parameters like light exposure, nutrient supply, and temperature [2,[6][7][8]. In aeroponic systems, the utilization of AI techniques like machine learning algorithms plays a vital role, especially in data analysis, real-time growth monitoring, resource management and predictive modeling.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Lettuce Crop Yield Prediction in an Indoor Aeroponic Vertical Farming System Using IoT-Integrated Machine Learning Regression Models

Rajendiran,

Rethnaraj

2024

RIA

View full text Add to dashboard Cite

“…The system can flow air from outside the factory into the factory based on the measurement of the oxygen level. Two studies discuss this system: first study, developing a temperature monitoring system based on WSN and a fan circulation system in a factory [7]. The system was implemented on two Boston lettuce cultivation plants, and a series of experimental performance evaluations were carried out.…”

Section: Introductionmentioning

confidence: 99%

Oxygen Level System Development in WSN and IoT-Based Factory

Muhendra,

Amin

2023

J. Elektron. dan Telekomun.

View full text Add to dashboard Cite

The health of workers is essential to factory productivity. The lack of oxygen experienced by factory workers for a prolonged duration can disrupt the brain system. One solution to this problem is to build manufacturing facilities with well-maintained airflow, especially oxygen. The system can flow air from outside the factory into the factory based on the measurement of the oxygen level. In this research, an airflow system using the internet of things (IoT) and wireless sensor network (WSN) technology was developed to ensure no oxygen shortage in the factory space. The system comprises three main parts: an oxygen level sensor, a fan controller circuit, and a cloud-based communication system. The oxygen level sensor can measure the volume of oxygen in the factory room and is also connected to the fan controller to control the airflow to the radio-frequency (RF) communication factory room. Oxygen level monitoring data are also sent to the cloud server so that the condition of the factory space can be monitored remotely using internet computers and mobile devices. Performance tests that have been carried out show that the system can increase the oxygen level by 82% from its pre-installed condition. The system built is easy-to-install, low-power, and reliable, with a data loss value of only 1.67%. WSN implementation at the factory does not require a lot of wiring, thus making the system cheaper.

show abstract

Toward a higher yield: a wireless sensor network-based temperature monitoring and fan-circulating system for precision cultivation in plant factories

Cited by 18 publications

References 32 publications

Digital farming based on a smart and user‐friendly IoT irrigation system: A conifer nursery case study

Digital farming based on a smart and user‐friendly IoT irrigation system: A conifer nursery case study

Optimizing Lettuce Crop Yield Prediction in an Indoor Aeroponic Vertical Farming System Using IoT-Integrated Machine Learning Regression Models

Oxygen Level System Development in WSN and IoT-Based Factory

Contact Info

Product

Resources

About