IoT Based Automated Fish Farm Aquaculture Monitoring System

Saha, S. K.; Rajib, Rakibul Hasan; Kabir, Sumaiya

doi:10.1109/iciset.2018.8745543

Cited by 86 publications

(27 citation statements)

References 4 publications

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“…It also used Arduino Mega2560 that analyzes the parameters and notifies the user of the sound and visual information. For the study of Saja et al [12] the progression of IoT is applied and implemented for determining water quality through the use of Raspberry Pi and Arduino (as data processors and IoT servers), different sensors, smart phone camera, and an Android app.…”

Section: Related Workmentioning

confidence: 99%

IoT-Based Automated Water Monitoring and Correcting Modular Device via LoRaWAN for Aquaculture

Tolentino¹,

Chua²,

Añover³

et al. 2021

IJCDS

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Section: Related Workmentioning

confidence: 99%

IoT-Based Automated Water Monitoring and Correcting Modular Device via LoRaWAN for Aquaculture

Tolentino¹,

Chua²,

Añover³

et al. 2021

IJCDS

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“…IR sensor is used to create a boundary around field if any object crosses the boundary, then buzzer gives alarm, Soil moisture sensor is used to sense moisture level in the field [2,5]. This sense value is transmitted to ESP32 for further operation [4,7].…”

Section: B Sensorsmentioning

confidence: 99%

Using wireless sensor network for monitoring and controlling of farm

Pochhi¹,

Thakre²,

Bansod³

2021

International Journal of Computational and Electronic Aspects in Engineering

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Agriculture is most important business for any country. Agriculture has to face many complications like changing soil quality, water shortage, changing climate, etc. Due to the increasing in population demand for cereals and other crops for daily usage by the customers is also increased so there is a need for smarter implementation of irrigation and also develop farming methods that lessen human efforts and alter the basic eco systems this is less harmful to other creatures too. India is one of highest farming dependent county and generating countries all over the world. At the same time, India is facing the challenge of farmers committing suicide because of crop failure and liability. Most of the land in India are reserved for farming. Still there exists several places that uses primitive methods for irrigation, fertilization etc. This paper discusses the design and development of an IoT based module that assist farmers to improvise their methods of farming and also make the best use of their land for a better income. The main goal line of this IoT module is to sense agriculture parameter and advice farmers to properly grow and treat the crops. Also, in this assignment we are going to implement a irrigation control i.e. motor control through android app. To avoid animal intrusion flasher are also going to implement in the field. This will reduce human efforts.

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“…The proposed system is an embedded fish farming system to include the most commonly used sensors such as temperature, pH, light and water level sensors to reduce the cost of the entire system. The automated fish farming system in [2] uses a number of sensors namely temperature, pH, electrical conductivity and colour sensors which not only makes the system large but also makes it costly. An IoT based automated system is proposed in order to reduce the human labour and difficulty in remote management of the system.…”

Section: Literature Reviewmentioning

confidence: 99%

“…An IoT based automated system is proposed in order to reduce the human labour and difficulty in remote management of the system. The Android app in [2] checks only the water quality but the proposed system can be remotely monitored using an Android app which not only checks the water quality but also enables fish feeding unlike [3] which enables only fish feeding via a website. The fish feeder is self designed in the proposed system.…”

Section: Literature Reviewmentioning

confidence: 99%

Cost Effective IoT based Automated Fish Farming System with Flood Prediction

Prasad¹

2020

IJATCSE

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The Internet of things (IoT) is a system of interconnected computing devices which can be employed for the automation of assorted systems that are usually handled manually. For the past decades, fish farming has been handled manually using techniques which are not efficient enough in terms of monetary benefits, time consumption and labour. In conventional fish farming, the management of the farm is impossible without the physical presence of the farmer and the chemical changes in the environment cannot be efficiently detected by farmers. In order to overcome the drawbacks of conventional fish farming, we propose an embedded system for automatic control of fish farms. The proposed system supports real-time monitoring and controlling of the fish farm by employing Internet of Things (IoT) and a user-friendly Android application. The proposed system also incorporates an automatic feeding system and an efficient real time water quality management system that monitors the quality of thewater by sensing the physical parameters like pH, temperature, light and water level. Sensors are employed to reduce the human involvement and thereby to reduce the labour cost. The proposed system ensures uniform maintenance of temperature, oxygen, and pH with minimal human involvement by automating recirculation of water. The proposed system also includes a camera module which is deployed in the farm for the live surveillance of the farm via an Android application and a module to notify the farmer of a possible flooding of the farm. The proposed system is aimed at improving the harvest with minimal human involvement reaping greater economic benefits for the farmer.

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IoT Based Automated Fish Farm Aquaculture Monitoring System

Cited by 86 publications

References 4 publications

IoT-Based Automated Water Monitoring and Correcting Modular Device via LoRaWAN for Aquaculture

IoT-Based Automated Water Monitoring and Correcting Modular Device via LoRaWAN for Aquaculture

Using wireless sensor network for monitoring and controlling of farm

Cost Effective IoT based Automated Fish Farming System with Flood Prediction

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