Real time fish pond monitoring and automation using Arduino

Harun, Zambri; Reda, E.; Hashim, Hashimah

doi:10.1088/1757-899x/340/1/012014

Cited by 37 publications

(18 citation statements)

References 1 publication

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“…In [6], the water, temperature, pH and DO levels are measured and integrated with aerating and water supply pumps using Arduino. The user could receive information at predetermined intervals on preferred communication.…”

Section: Related Workmentioning

confidence: 99%

Deep Learning Approach for Forecasting Water Quality in IoT Systems

Nguyen¹,

Thanh-Hai²,

Ngôn³

2020

IJACSA

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Global climate change and water pollution effects have caused many problems to the farmers in fish/shrimp raising, for example, the shrimps/fishes had early died before harvest. How to monitor and manage quality of the water to help the farmers tackling this problem is very necessary. Water quality monitoring is important when developing IoT systems, especially for aquaculture and fisheries. By monitoring the real-time sensor data indicators (such as indicators of salinity, temperature, pH, and dissolved oxygen-DO) and forecasting them to get early warning, we can manage the quality of the water, thus collecting both quality and quantity in shrimp/fish raising. In this work, we introduce an architecture with a forecasting model for the IoT systems to monitor water quality in aquaculture and fisheries. Since these indicators are collected every day, they becomes sequential/time series data, we propose to use deep learning with Long-Short Term Memory (LSTM) algorithm for forecasting these indicators. Experimental results on several data sets show that the proposed approach works well and can be applied for the real systems.

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Section: Related Workmentioning

confidence: 99%

Deep Learning Approach for Forecasting Water Quality in IoT Systems

Nguyen¹,

Thanh-Hai²,

Ngôn³

2020

IJACSA

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“…Kisaran nilai pH yang cocok untuk budi daya lele yaitu 6,5-8,5 (Erlania et al, 2011). Parameter pH menunjukkan jumlah ion hidrogen (H + ) di dalam air (Harun, Reda, & Hashim, 2018). Tingkat pH air dapat memberikan informasi tentang potensi kontaminasi (Hor et al, 2017).…”

Section: Kualitas Airunclassified

EVALUASI SISTIM BUDIDAYA LELE: ASPEK PRODUKSI DAN STRATEGI PENGEMBANGANNYA (Studi Kasus: Pembudidaya Lele Kabupaten Tangerang)

Fauziyah¹,

Nirmala

Supriyono

et al. 2019

JKSEKP

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ABSTRAKBudi daya lele merupakan komponen penting dalam sektor usaha perikanan air tawar di Kabupaten Tangerang dengan kontribusi lebih dari 70% (senilai Rp109,5 milyar) pada tahun 2018. Meskipun demikian, diperlukan peningkatan produksi di masa yang akan datang dalam rangka mengantisipasi perkembangan dan kebutuhan pasar. Peningkatan tersebut perlu didukung oleh informasi potensi budi daya serta strategi pengembangannya. Penelitian ini bertujuan untuk mendapatkan informasi mengenai karakteristik kegiatan budi daya serta merumuskan strategi pengembangan budi daya lele di Kabupaten Tangerang. Pengambilan data dilakukan melalui survei dengan kuesioner terstruktur selama bulan Oktober 2018 hingga Januari 2019. Metode analisis data terdiri atas analisis deskriptif dan analisis SWOT. Alternatif strategi yang diprioritaskan berdasarkan hasil analisis SWOT yaitu strategi SO (Strength-Opportunities) yang berada pada kuadran I. Peningkatan keterampilan, ketersediaan benih berkualitas, dan penerapan teknolologi informasi diharapkan mampu mendukung efisiensi, produktivitas dan keberlanjutan usaha. Alternatif strategi yang disarankan yaitu: (1) Dinas terkait memfasilitasi pelatihan teknologi intensifikasi budi daya yang ramah lingkungan, serta penyediaan benih unggul; dan (2) Perluasan wilayah pemasaran dan pengembangan usaha dengan memanfaatkan teknologi informasi, serta penguatan kerjasama antar pembudidaya. Kata Kunci: lele; karakteristik budi daya; SWOT; strategi ABSTRACT Catfish farming is an important element in the freshwater fisheries business in TangerangRegency that contributes more than 70 percent of total production (Rp. 109.5 billion) in 2018. However, it is necessary to increase the number of future production to anticipate the market demand. This increasing production should be supported with information on potential aquaculture and its development strategies. This study aims to describe the characteristics of aquaculture activities as well as to formulate the development strategies of catfish farming in Tangerang Regency. Data were collected by structured questionnaires from October 2018 to January 2019. Data were analyzed using descriptive and SWOT analysis. Result of SWOT analysis suggests that SO (Strength-Opportunities), which was in quadrant 1, should be prioritized. Skill improvement, availability of good fingerling, and application of information technology were expected to encourage its productivity, efficiency, and business sustainability. The study suggests following recommendation: (1) Associated agencies facilitate training of green intensification on aquaculture technology and supply superior fingerlings; and (2) Market expansion and business development using information technology, and the intense cooperation among farmers.

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“…Real-time fish pond monitoring and automation is proposed in [9]. Here authors integrated water pump with fishpond sensor architecture to fill fresh water under emergency situation.…”

Section: Related Workmentioning

confidence: 99%

Design and Performance Analysis of Rural Aquaculture Ponds using IoT

Nayak¹,

Mantri²,

Swain³

2019

IJRTE

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Rural aquaculture is mostly based on open pond system. People in rural areas depend on aquaculture not only for food but also for livelihood. These are unmanaged fish ponds and deprived of any technological touches. To increase the livelihood, establishment of managed ponds and use of low cost IoT technology for monitoring fishponds is an important issue. By monitoring water parameters like PH, temperature, Turbidity fish growth can be increased. In this paper we have proposed a multiple fish pond design controlled by single center and wire and wireless mode of data collection. The proposed model is simulated using NetSim to generate network performance matrices. To achieve a prolonged battery life, concept of energy harvesting at sensor node level is introduced in the simulation study

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Real time fish pond monitoring and automation using Arduino

Cited by 37 publications

References 1 publication

Deep Learning Approach for Forecasting Water Quality in IoT Systems

Deep Learning Approach for Forecasting Water Quality in IoT Systems

EVALUASI SISTIM BUDIDAYA LELE: ASPEK PRODUKSI DAN STRATEGI PENGEMBANGANNYA (Studi Kasus: Pembudidaya Lele Kabupaten Tangerang)

Design and Performance Analysis of Rural Aquaculture Ponds using IoT

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