Sustainable smart photobioreactor for continuous cultivation of microalgae embedded with Internet of Things

Tham, Pei En; Ng, Yan Jer; Vadivelu, Navintran; Lim, Hooi Ren; Khoo, Kuan Shiong; Chew, Kit Wayne; Show, Pau Loke

doi:10.1016/j.biortech.2021.126558

Cited by 37 publications

(15 citation statements)

References 36 publications

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“…Tham et al. 124 discuss the inaccuracies of the ultrasonic level sensor in their IoT‐integrated photobioreactor and suggest investigating alternative strains of algae and extraction techniques for future enhancements.…”

Section: Applying Artificial Intelligence To Algae Cultivation and Al...mentioning

confidence: 99%

Towards a Sustainable Circular Economy: Algae‐Based Bioplastics and the Role of Internet‐of‐Things and Machine Learning

Bin Abu Sofian,

Lim,

Manickam

et al. 2023

ChemBioEng Reviews

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The growing potential of sustainable materials such as polyhydroxyalkanoates (PHAs), polylactic acid (PLA), alginate, carrageenan, and ulvan for bioplastics production presents an opportunity to promote a sustainable circular economy. This review investigates their properties, applications, and challenges. Bioplastics derived from algae offer an environmentally friendly alternative to petroleum‐based plastics, a shift of paramount importance to society due to the escalating environmental concerns associated with traditional plastics. The role of the internet‐of‐things (IoT) and machine learning in refining these bioplastics' production and development processes is emphasized. IoT monitors cultivation conditions, data collection, and process control for more sustainable production. Machine learning can enhance algae cultivation, increasing the supply of raw materials for algal bioplastics and improving their efficiency and output. The study results indicate the promise of algae‐based bioplastics, IoT, and machine learning in fostering a more environmentally sustainable future. By harnessing these advanced technologies, optimization of bioplastic production is possible, potentially revolutionizing the materials industry and addressing existing challenges toward achieving a sustainable circular economy.

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Section: Applying Artificial Intelligence To Algae Cultivation and Al...mentioning

confidence: 99%

Towards a Sustainable Circular Economy: Algae‐Based Bioplastics and the Role of Internet‐of‐Things and Machine Learning

Bin Abu Sofian,

Lim,

Manickam

et al. 2023

ChemBioEng Reviews

Self Cite

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“…It is noted that the premise behind efficiency of the continuous culture system in producing microalgae is that the environmental parameters in the culturing environment are required to be continuously monitored and controlled [10] . For instance, the author of the work [11] proposed an optimized up-scaled photobioreactor for continuously cultivating algal strain S. platensis , where critical parameters including liquid level, pH condition and temperature during the culture operations are remotely monitored through smartphone application. A recent review paper [12] provides discussions about exploiting advanced technologies such as Internet of things (IoT) or artificial intelligence in smartly enhancing productivity and product quality of microalgae farming.…”

Section: Hardware In Contextmentioning

confidence: 99%

A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae

Nguyen¹,

Nguyen²,

Dang³

et al. 2022

HardwareX

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“…This sensor fires an ultrasonic ping in the direction of an object, and the distance between the sensor and the item may be determined by measuring the time it takes for the echo to return. The ultrasonic sensor has been used to assess the water level in several studies [31][32][33][34]. They did not present a mathematical equation for the ultrasonic sensor (water level) calibration method.…”

Section: Proposed Calibration Of the Water Levelmentioning

confidence: 99%

“…The use of wireless sensor networks in designing an autonomous plant Smart Irrigation System results in irrigation settings that can be automatically controlled [26][27][28][29][30]. To detect the desired parameter, a water level sensor was employed in this study, and a real-time water level monitoring system was constructed and installed, was used the HC-SR04 sensor to detect the water level [31][32][33][34]. Considering those mentioned above, to solve these problems, we have developed a Smart Irrigation System, which uses the latest technology to facilitate the watering process and decrease the cost of irrigation.…”

Section: Introductionmentioning

confidence: 99%

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Morchid

Qjidaa

Jamil³

et al. 2022

Preprint

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Agricultural activity is the most important economy in Morocco, and in the world, because it is the only source of food security. This activity faces a real threat due to the climatic changes and the inappropriate use of irrigation, which threatens the life of many people in Morocco and North Africa. In order to meet the increasing demand for water for agriculture, we must consider alternative techniques to rationalize this rare and vital substance. This paper proposes a "Smart Irrigation System" based on the internet of things (IoT) and cloud computing to supervise in real-time and wirelessly the environmental parameters such as temperature, humidity, moisture, and water level in a smart agricultural. This system uses as techniques special sensors (DHT22, water level sensor, moisture sensor) wired to a popular control board ESP32. As communication between the device and the user, the apparatus uses a ThingSpeak platform on the network. The ESP32 controller is also connected to a water sprinkler irrigating the soil and a water pump for recharging the tank when it runs dry. Based on the values of different environmental parameters, the water pump is automatically controlled. The data collected by the sensors is communicated in real-time to the ThingSpeak platform and the ThingView app. This will allow the farmer to see all of the farm's data from afar and from any location, allowing him to irrigate the crops more accurately and increase production. On the other side, we will present a mathematical function to calibrate the water level sensor by a percentage, a function called linear interpolation. In this system, the soil is irrigated as needed and accurately, and this will reduce water consumption by a very important percentage of more than 70 percent, unlike traditional irrigation, which drains the water bed and drowns agricultural crops.

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Sustainable smart photobioreactor for continuous cultivation of microalgae embedded with Internet of Things

Cited by 37 publications

References 36 publications

Towards a Sustainable Circular Economy: Algae‐Based Bioplastics and the Role of Internet‐of‐Things and Machine Learning

Towards a Sustainable Circular Economy: Algae‐Based Bioplastics and the Role of Internet‐of‐Things and Machine Learning

A low-cost system for monitoring pH, dissolved oxygen and algal density in continuous culture of microalgae

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

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