Development of a multi-parameter plant growth monitoring and control system for quality agriculture application

Tai, Wei-Chieh; Tseng, Ya‐Chuan; Chiang, I-Ting; Lin, Yu-Shen; Chung, Wen-Yaw; Wu, Kwan-Wei; Yeh, Yuh-Han

doi:10.1109/icasi.2017.7988218

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…improved locally and internationally, most of them are having problems such as lack of constant monitoring of the sensing system with corresponding correcting devices, insufficient information to the aquaponics enthusiast on the status of the plants' growth, unsuitable climate for specific crops that need lower temperature requirements, and destructive methods of measuring plants (De Belen & Cruz, 2017;Galido et al, 2019;Murad, Harun, Mohyar, Sapawi, & Ten, 2017;Nagayo, Mendoza, Vega, Al Izki, & Jamisola, 2017;Tai et al, 2017;Tolentino et al, 2017).…”

Section: Article Infomentioning

confidence: 99%

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Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse

et al. 2020

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The paper introduced the development of a self-sustainable smart aquaponics system in a temperature-controlled greenhouse with a monitoring and automatic correction system using an Android device through the Internet of Things (IoT) and plant growth monitoring system through image processing using Raspberry Pi. The system involves the acquiring of real-time data detected by the light intensity sensor, and air temperature and humidity sensor. It also includes the monitoring of the pH level and temperature of the recirculating water of the system. If the acquired data is not within the threshold range, the correcting devices, namely grow lights, exhaust and inlet fans, evaporative cooler, aerator, and peristaltic buffer device were automatically triggered by the system to correct and achieve its normal status. The internet remote access includes the effective wireless transmission and reception of data reports between the system and an Android unit with the Android application in real-time. The study focused on the evaluation of two experimental setups comparing the plant growth between conventional soil-based farming and the smart aquaponics system using image processing. After data gathering, results showed that the smart aquaponics setup successfully produced a yield better than the conventional farming setup .

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Section: Article Infomentioning

confidence: 99%

“…A system developed by Tai et al (2017) was greatly associated with environmental parameters where MG82FG5B32 Developer Edition in MEGAWIN Technologies was used as a microcontroller. A database was created with MySQL for the human-machine interface through the website.…”

Section: Article Infomentioning

confidence: 99%

Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse

et al. 2020

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“…In this research, we build and develop of precision agriculture system for monitoring different parameters and uses of it to take necessary action so that it improves the growth of Banana Crops and results into significant improvement of banana crop yields [14,15,16,17,18,19 and 20]. The monitoring system for banana crop using wireless sensors will be use for sensing and measuring various crucial parameters.…”

Section: Introductionmentioning

confidence: 99%

693 Retrieval Number: F7280038620/2020©BEIESP DOI:10.35940/ijrte.F7280.038620 Journal Website: www.ijrte.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Monitoring of Various Crucial Parameters and Control of Salinity Damage in Banana Crop (Banntex) using WSN and IoT

Desai,

Singh,

Khairnar

2020

IJRTE

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In India 60 percent of total cultivated land is fully dependent on rain and if there is less than average rain fall than it results into significant reduction in the overall agricultural production and it leads heavy losses to farmers and ultimately it affects the overall gross domestic production of India. Banana is an important fruit and it is one of good cash crop in India. In this research work, our aim is to design and implement Banana Crop System (Banntex) to sense crucial parameters and early detection of diseases and control using Wireless Sensor Networks (WSN) and Internet of Things (IoT). To implement Banntex we uses advancement of new technology like Internet of Things (IoT), Sensors development and Improved Wireless Sensor Networks, we can design and developed Precision Agriculture systems in which various sensors are used to measure the different parameters like temperature of air and soil, relative humidity, water potential of banana field, pH value of soil, Electric conductivity of soil, salinity of banana field soil, Moisture changes in soil, soil quality, fertility of soil, ground water quality and crop growth. Based on the measured parameters this system can be used to control and automate the farming processes. This precision system empowers farmers to keep updated, early detection of soil parameters and take necessary steps to improve it further. It results to improve the biomass, roots and overall growth of banana crops and finally it increases productivity and improved quality of farming with minimum manual tasks. Experimental results will show the significant improvement in the Banana crop production and Quality of Banana Fruit using our proposed Banntex System.

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“…In other approaches, [21] analyzed the spectral characteristics of two white LEDs and analyzed the growth of plants using each LED. In addition, [22] proposed a system that defines parameters that affect growth and adaptively controls these parameters. Ref.…”

Section: Introductionmentioning

confidence: 99%

Power Controllable LED System with Increased Energy Efficiency Using Multi-Sensors for Plant Cultivation

2017

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Abstract:In this paper, a power-controllable light emitting diode (LED) control system is proposed for plant cultivation. The proposed LED system measures environmental data, such as the distance between the plant and LED system using an infrared sensor and the ambient illuminance based on an illuminance sensor. Then, it converts the illuminance to the photosynthetic photon flux density (PPFD) for plant cultivation. It analyzes the relationship between the data and LED PPFD, and generates an optimal pulse width modulation (PWM) signal. Therefore, it controls the LED PPFD dynamically. The proposed LED system is also implemented in hardware, which consists of red and blue LED arrays with suitable wavelengths and a micro-controller. In the experimental results, the proposed LED system preserved the target PPFD regardless of the change of the distance and ambient PPFD. Additionally, the proposed LED system maximally reduced the power consumption of a conventional system by up to 68%.

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Development of a multi-parameter plant growth monitoring and control system for quality agriculture application

Cited by 6 publications

References 7 publications

Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse

Yield Evaluation of Brassica rapa, Lactuca sativa, and Brassica integrifolia Using Image Processing in an IoT-Based Aquaponics with Temperature-Controlled Greenhouse

693 Retrieval Number: F7280038620/2020©BEIESP DOI:10.35940/ijrte.F7280.038620 Journal Website: www.ijrte.org Published By: Blue Eyes Intelligence Engineering & Sciences Publication Monitoring of Various Crucial Parameters and Control of Salinity Damage in Banana Crop (Banntex) using WSN and IoT

Power Controllable LED System with Increased Energy Efficiency Using Multi-Sensors for Plant Cultivation

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