Pond Water Quality Research Articles

Towards an improved internet of things sensors data quality for a smart aquaponics system yield prediction

The mobile aquaponics system is a sustainable integrated aquaculture-crop production system in which wastewater from fish ponds are utilized in crop production, filtered, and returned for aquaculture uses. This process ensures the optimization of water and nutrients as well as the simultaneous production of fish and crops in portable homestead models. The Lack of datasets and documentations on monitoring growth parameters in Sub-Saharan Africa hamper the effective management and prediction of yields. Water quality impacts the fish growth rate, feed consumption, and general well-being irrespective of the system. This research presents an improvement on the IoT water quality sensor system earlier developed in a previous study in carried out in conjunction with two local catfish farmers. The improved system produced datasets that when trained using several machine learning algorithms achieved a test RMSE score of 0.6140 against 1.0128 from the old system for fish length prediction using Decision Tree Regressor. Further testing with the XGBoost Regressor achieved a test RMSE score of 7.0192 for fish weight prediction from the initial IoT dataset and 0.7793 from the improved IoT dataset. Both systems achieved a prediction accuracy of 99%. These evaluations clearly show that the improved system outperformed the initial one.•The discovery and use of improved IoT pond water quality sensors.•Development of machine learning models to evaluate the methods.•Testing of the datasets from the two methods using the machine learning models.

Utilization of the Abandoned Pond for African Catfish Farming to Improve the Economy of the People of Northwest Hagu Village, Lhokseumawe

Northwest Hagu Village is one of the fishing villages in the Lhokseumawe City Area. In this village, there are also several ponds that are not productive (sleeping land) and only wild weeds grow throughout the pond. This community service activity aims to provide solutions by managing ponds into productive ponds by cultivatingcatfish training fishing communities to increase the economic income of the coastal communitiesofNorthwest Haguvillage with good cultivation techniques and maintaining pond water quality so that it is not polluted. So, that good harvests are obtained and marketable and increase economic income and welfare of community partnergroups. Thisactivity stage begins with a survey of environmental conditions and equipment, designing and manufacturing floating net cages,providing technical counselling/guidance to partners and conducting a thorough evaluation of the implementation of PKMM and the results achieved.

Influence of runoff regulation on hydrochemical indicators of water in small rivers on the example of the Teplaya river in the Saratov region

Small rivers are extremely sensitive to any anthropogenic activity, including runoff regulation, and serve as a kind of indicator of the ecological state of natural complexes. In general, large rivers are well studied, and small water bodies are practically not studied, although they are of great economic importance. For Teplaya river of the Saratov region was given an ecological and geographical characteristic, sources of anthropogenic load on the reservoir were identified, an analysis was made of the degree of knowledge and background indicators of the rivers of this basin. On the example of Teplaya river effect of runoff regulation of a small river by a dam on a number of physical and chemical parameters of pond water quality is considered. It has been established that the water temperature in the Teplaya river in the autumn period before the runoff regulation was a constant value, and after the dam it increased to the last sampling point downstream. The hydrogen index varied within 7.5-8.4, the total mineralization of water consistently increased in the studied section of the river (0.66-1.08 g/dm3). It is shown that the content of ammonium ions and nitrites was much higher than the sanitary and hygienic standards, which indicates the uniform nature of fresh organic water pollution in this section of the river. An increase in the concentration of chlorides in the last of the cascade of ponds was established - almost 1.5 times compared to the higher sampling points, which, however, did not exceed the standard values.

Comparative Studies on the Water Quality and Fish Yield in Weed-Infested and Weedless Fish Ponds in The Environs of Lake Kolleru, India

In the culture ponds of Lake Kolleru region, aquatic weed infestation is one of the major problems resulting in poor production of fish. One of the ponds studied in the environs of Sreeparru Village was infested with the submerged weed Vallisneria spiralis and the marginal weed lpomoea aquatica. Due to their luxuriant growth, the physico-chemical properties of water as well as plankton were severely affected resulting in a low fish yield of 2 t/(ha·yr) compared to a pond devoid of aquatic weeds - 4.13 t/(ha·yr) - located in the same area. In the light of this, the variations in the water quality and their impact on fish yield in the two ponds are compared and discussed.

Spatial distribution of bacterial communities driven by multiple environmental factors in sediment of brackish channel catfish ponds in Eastern China

Sediment bacteria are crucial for maintaining water quality, preventing disease, and cycling nutrients in aquaculture ponds. In the present study, a total of 42 sediment samples were collected over the course of four months from three farms. By using 16S rRNA high-throughput sequencing techniques, bacterial communities were studied. Proteobacteria, Chloroflexi, Desulfobacterota, Firmicutes, Actinobacteriota, Bacteroidetes and Acidobacteriota were the dominant species at the phylum level in all samples. Spatial variation had a greater impact on the bacterial community composition and distribution of brackish pond sediments. Chloroflexi, Desulfobacterota, Spirochaetota and Latescibacterota were all substantially correlated positively with salinity. Moreover, salinity was negatively correlated with beta diversity. Salinity and total organic carbon were positively correlated with bacterial community distribution. This study was helpful to understand the response of bacterial communities to habitat changes, and provided a theoretical reference for the environmental supervision of aquaculture in sediment of brackish channel catfish ponds in Eastern China.

Assessment of the current status of water quality and nutrients enrichment of rivers Kisat and Auji and Nyalenda wastewater sedimentation ponds using multivariate technique

Monitoring the condition of aquatic ecosystems is important because they provide ecological goods and services on which human beings depend. The present study analyzed the physico-chemical parameters and nutrients enrichment in rivers Kisat and Auji as well as wastewater sedimentation ponds to inform appropriate management measures. The water samples were collected from eight sampling sites starting at the source running downstream and at the wastewater sedimentation ponds beginning from February to October 2021. The physico-chemical parameters were measured in situ, while nutrients were analyzed at the laboratory. The results of the study indicated inconsistencies in the variation of physico-chemical parameters and nutrients enrichment among the sampling sites. The results revealed that dissolved oxygen (DO), electrical conductivity (EC), salinity (sal), total dissolved solids (TDS), turbidity and total nitrogen (TN) showed significance difference between the sites. Similarly principal component analysis revealed variations indicating (temperature, TDS, EC, Sal, TN and Total phosphorus (TP) are the major variables influencing the water quality variations. The overall results demonstrated some sampling sites are heavily contaminated with pollutants attributable to anthropogenic activities. The results of the present study are important for decision making regarding the management of water quality in urban rivers and wastewater sedimentations ponds.

OPTIMALIZATION AND SOCIALIZATION OF INTERNET-BASED AQUACULTURE MEDIA CONDITION MONITORING TECHNOLOGY, ARSENIK 2

Indonesia's geographical condition, as a maritime country, has a wealth of natural resources in the form of water, which has the potential to support the economy in the aquaculture sector. One of them is the cultivation of freshwater fish ponds as has been carried out by the Maju Rukun Community Group (PokMas) in Ngerong Village, Pasuruan. Lack of equipment and knowledge in monitoring pond water conditions, resulting in problems with the fish nursery process. This is because water is a living medium for aquatic organisms, thus determining the survival of cultivated fish. Therefore, community service activities were held in the form of implementing an appropriate technology device "Arsenik version 2" and a mobile application that can be downloaded on Android to support water quality monitoring in aquaculture. In addition, socialization, training, and seminars regarding parameters of good pond water quality for fish farming were also provided to the Maju Rukun PokMas and the local community. Based on the positive response from the community, the implementation of the Arsenic device version 2 is considered very helpful in terms of monitoring the condition of pond water quality because it has informative parameter values and an easy presentation to understand so that the public can maintain the health of aquatic media for the aquaculture ecosystem in it.

Edukasi Monitoring Kualitas Air Pada Kelompok Tani Tambak Desa Margoyoso Pati Jawa Tengah

Water quality is one of the most influential factors in the process of cultivating fish in ponds, so it is necessary to monitor water quality regularly to obtain viable and abundant fish commodities. The obstacle in fish farming is the problem of unproductive land due to poor water quality. The low understanding of pond farmers regarding water quality is also one of the factors in decreasing income from fish farming in ponds. Thus it is necessary to carry out education related to monitoring pond water quality to farmers. This community service activity was carried out at the pond farmer group in Margoyoso Pati Village, Central Java on Saturday, August 12, 2023. The community service partner for this activity is the “Bersatu Makmur” farmer group. The implementation of this service activity is divided into two sessions. The first session was a material delivery session on water quality monitoring education while the second session was the practice of monitoring water quality in the farmers' pond locations. The result of this community service activity is the increased understanding of pond farmers in Margoyoso Village, Pati Regency, Central Java regarding monitoring water quality according to the parameters of the Indonesian National Standard (SNI).

The abundance and types of plankton in milkfish ponds at Banyuasin South Sumatera

Tidal lowland is an area with significant potential for fisheries development, especially in aquaculture. Abundant water supply and land availability provide great opportunities for cultivating aquaculture commodities such as fish, shrimp, and crab. However, effective water quality management poses a significant challenge, necessitating a comprehensive evaluation based on biological, physical, and chemical assessment. Among the crucial parameters influencing water fertility, the presence of plankton stands out. Therefore, this study aimed to investigate water fertility by identifying plankton species, abundance, diversity, dominancy, and water quality in milkfish ponds at Banyuasin, South Sumatra. The results showed that the abundance of phytoplankton and zooplankton ranged from 1030-1791 individual L-1 and 103-461 individual L-1, respectively. Furthermore, Bacillariaceae was recorded to be the highest specie, followed by Cyanophyta, Chlorophyta, Protozoa, Rotifer, and Arthropoda. The range diversity index varied between 1 to 2.6, while the density and dominance indices ranged from 0.9 and 1, as well as 0.1 and 0.8, respectively. The classification of the pond's fertility fell within the mesotrophic category, signifying a moderate level. In conclusion, the water quality maintained an optimum range, thereby supporting the growth of plankton and milkfish. Meanwhile, only ammonia was below the optimum range stipulated by PP No. 22 of 2021 suggested.Keywords:bioindicatormilkfishplanktontidal lowlandwater quality

Internet of Things untuk Sistem Pemantauan Kualitas Air pada Kolam Ikan Lele pada Pembudidaya TDR Sultan Adam Banjarmasin

TDR Catfish Farmer Sultan Adam Banjarmasin is a home industry (IRT) engaged in the business of catfish farming located on Jl. Sultan Adam No.17 RT.22, Surgi Mufti, North Banjarmasin. In the management of catfish farming, water quality is an important factor in the success of cultivation where poor water quality can cause fish to be more susceptible to disease. Apart from these needs, the TDR of Sultan Adam Catfish Farmers actually has problems in the process of monitoring pond water quality conditions which are currently carried out manually and periodically by breeders. This process is considered ineffective because it is difficult to determine water quality from the physical condition of the water which changes rapidly due to weather or fish feed residue. The solution offered to solve this problem is to develop a tool that can monitor temperature conditions and the acidity of catfish pond water automatically and in real time. This innovation was developed by utilizing the Internet of Things (IoT) through the use of the DS18B20 temperature sensor and SS15 pH sensor on the ESP32 WROOM-32D microcontroller. The results of system testing from fuzzy logic calculations at the output of the microcontroller and Matlab and the suitability of expert information in determining pool water quality obtained an average error value of 0.46%. Based on these results, it can be concluded that the IoT-based water quality monitoring system in determining water quality is suitable for direct use.

PERSEBARAN AIR LINDI TPA BENOWO TERHADAP KUALITAS AIR TAMBAK

Tempat Penimbunan Akhir (TPA) Benowo kota Surabaya menerapkan metode Open Dumping sehingga berpotensi menghasilkan lindi yang dapat mencemari lingkungan sekitarnya. Sistem penampungan air lindi yang ada di TPA Benowo juga turut berperan dalam kemungkinan bocornya air lindi yang masuk kedalam air tanah dan mencemari kualitas air tambak budidaya air tawar yang berada disekitar TPA Benowo. Metode yang digunakan adalah metode Purposive Sampling, yaitu dengan pengambilan beberapa sampel yang tersebar disekitar pusat timbunan sampah TPA Benowo, kemudian diuji nilai konsentrasi COD, yang kemudian hasil dari pengukuran COD tersebut, diplot pada peta untuk dianalisa pola persebarannya. Hasil penelitian menunjukan adanya indikasi air tambak yang terdapat disekitar TPA Benowo telah terkontaminasi lindi yang ditunjukan dengan kandungan konsentrasi COD didalam 14 sampel uji hanya 3 yang sesuai dengan baku mutu PP RI No.82 Tahun 2001.

Pemanfaatan Sistem Monitoring Kualitas Air Berbasis Jarak Jauh Di Pokdakan Mikro Bio Ebi, Kota Pangkalpinang, Bangka Belitung

The industrial revolution 4.0 has begun to develop in aquaculture activities by utilizing the internet of things (IoT) in the last decade. The increase in intensive shrimp farming on Bangka Island in recent years is still conventional witfar from the use of digital and internet-based technology, especially vaname shrimp farming, including the Bio Ebi Micro Pokdakan in Air Mawar Village. This activity aims to design a water quality monitoring system that can be used in vaname shrimp aquaculture ponds. The main components in designing a remote-based pond water quality monitoring system consist of sensors, processing, data transmission, data storage and display. The activity has started with the design of a water quality monitoring tool in October - November 2022 in the Instrumentation and Acoustics Section of the Marine Science Laboratory at Bangka Belitung University which is then used by partners to monitor water quality conditions in shrimp ponds at Pokdakan Mikro Bio Ebi partners

CORRELATION BETWEEN WATER QUALITY PARAMETERS AND VIBRIO SP. BACTERIA CONTENT IN TRADITIONAL VANNAMEI SHRIMP (LITHOPENAEUS VANNAMEI) CULTURE

Vannamei shrimp is a species of shrimp that is frequently cultivated using conventional methods. This is because vannamei crustaceans have favorable prospects and profits. Traditional Vannamei shrimp cultivation has great development potential, but preventing parasites and diseases that originate in the pond water when cultivating shrimp is impossible. The incidence of disease is closely correlated with parameters of water quality. Pathogenic microorganisms, specifically the Vibrio sp. bacteria, are responsible for one of the prevalent maladies affecting vannamei shrimp farms. Vibrio sp. bacteria produces vibriosis, the clinical symptoms of brownish-red gills, a crimson uropod and abdominal telson, and a sluggish swimming speed. This study aimed to determine the correlation between Vibrio sp. bacteria content and water quality parameters in conventional vannamei shrimp (Lithopenaeus vannamei) cultivation. This study employed exploratory methods and purposive sampling for its sampling. Isolation of microbes using selective media containing TCBSA. The colony abundance of Vibrio sp. bacteria was calculated using the Total Plate Count method. The results showed no significant correlation between the quality of pond water and the abundance of Vibrio sp. bacteria colonies in the traditional system of vannamei shrimp (Lithopenaeus vannamei) cultivation, with a correlation value of > 0.05.

End-of-season supplementary feeding in European carp ponds with appropriate plant protein and carbohydrate combinations to ecologically boost productivity: Lupine, rapeseed and, triticale

The present study investigated end-of-season (July–September) supplementary feeding strategies for European fishponds (carp farming), which suffer from collapsed natural food base (protein availability). Treatment ponds receiving white lupine (Lupinus albus), resulted in higher polyunsaturated fatty acids (PUFA) content (276.1 mg n − 3 PUFA 100 g−1) in skinless fillet of Cyprinus carpio than control ponds receiving triticale (179.5 mg n − 3 PUFA 100 g−1). Despite lupine being richer in nitrogen (N) and phosphorus (P) than triticale, eutrophication was likely suppressed in treatment ponds. Treatment ponds (∼120 g acid detergent fiber, ADF kg−1 lupine) had higher water transparency and lower water column P than control ponds (∼31 g ADF kg−1 triticale). Surprisingly, triticale (8.5% digestible protein; low DIAASLYS 36%) resulted in similar yield (∼1 ton ha−1) as lupine (26.5% digestible protein; higher DIAASLYS 52%, but low DIAASMET 32%). Therefore, protein quality (methionine) deficiency in lupine was investigated. It was balanced iso‑nitrogenously (38% crude protein) with rapeseed expeller meal (Brassica napus): diets T1 (only lupine; Met 0.9% of protein) → T2 (75% lupine: 25% rapeseed; Met 1.2% of protein) → diet T3 (50% lupine: 50% rapeseed; Met 1.4% of protein). A gradual improvement in yield, N and P retention values was observed from T1 to T3 but it did not exceed a low protein (16% crude protein) ‘control’ diet (only triticale; Met 1.9% of protein). Nutrient conversion to fish biomass (protein efficiency ratio and P: N retention ratio) seemed highest in ‘control’ followed by ‘T3’. This could be attributed to starch-mediated protein sparing effect or high organic matter digestibility of triticale (ADCNFE 76%; ADCOM 72%). Which is lacking in either lupine or rapeseed (ADCNFE ≤ 1%; ADCOM ≤ 34%) due to predominance of fibrous carbohydrates (non-starch polysaccharides, NSP). However, in ponds, they may still enhance the food web. In absence of starch, higher ADF influx in pond carp gut may halve absorption of n-3 PUFA from zooplankton. The study concludes end-of-season supplementary feeding with high DIAASMET, LYS protein combinations (e.g., lupine-rapeseed) and inclusion of starch sources (e.g., triticale) could achieve higher yield and nutrient efficiency in ponds. Most proteinaceous plant feedstuff are rich in NSP or ADF and may contribute to improving pond water quality or food web. Balanced supplementary feeds (e.g., 50% triticale +25% lupine +25% rapeseed expeller), that feed both fish (starch, optimum DIAASprotein) and pond (NSP, ADF) are suggested.

First monitoring of cyanobacteria and cyanotoxins in freshwater from fish farms in Rondônia state, Brazil

The main aimed of this study was to evaluate the physicochemical parameters, abundance and density of cyanobacteria, determine their blooms and the ecotoxicological risk of their cyanotoxins in fish ponds water. This study was conducted out in 20 fish farms in Rondônia state (Brazilian Amazon), samplings were carried out in the rainy and dry seasons. The experiment was developed in a completely randomized factorial design 20 × 3 x 3 (20 fish farms, 3 ponds and 3 replications). Regarding the composition of qualitative samples, horizontal and vertical hauls were carried out on the water surface, quantitative samples was obtained using a plankton net (50 μm mesh opening). Meanwhile, with the use of a multiparametric probe, physicochemical analyzes in fish ponds water were carried out. Furthermore, the cyanobacteria found were classified taxonomically and its blooms were recorded. Finally, blood was collected from 60 Colossoma macropomum. Concerning the higher averages in the rainy season 6.13 mg L⁻1 of dissolved oxygen, 40.02 cm of transparency, 0.35 NO31⁻ of nitrate, 0.15 NO21⁻ of nitrite, 44.55 mg L⁻1 CaCO3 of alkalinity and 50.10 mg L⁻1 CaCO3 of hardness, while higher averages of pH, phosphate and phosphorus were found in the dry season. A total of 15 families and 29 species of cyanobacteria were identified in the different seasons. The families that showed the highest densities (rainy and dry seasons) were Microcystaceae (356 and 760 cells mL⁻1), Leptolyngbyaceae (126 and 287 cells mL⁻1) and Microcoleaceae (111 and 405 cells mL⁻1). The species that showed the highest densities were Microcystis aeruginosa (356 and 697 cells mL⁻1), Planktolyngbya limnetica (98 and 257 cells mL⁻1) and Planktothrix sp. (111 and 239 cells mL⁻1). There were significant Pearson's correlations (r > 0.85; p < 0.05) between family abundances and cyanotoxin volume between physicochemical water variables and seasonality. A total of 20 cyanobacteria blooms were recorded, all of which in the dry season showed an ecotoxicological risk. Concerning the assessment mutagenicity in fish blood cells, a total of 78 abnormalities per slide were observed. In the dry season, the expected volume of cyanotoxins in the ponds from fish farms F1 and F4 were above the quantification limit (>QL). Abundance and density of cyanobacteria and their blooms and cyanotoxins can be used as bioindicators of eutrophication and/or water quality and ecotoxicological risk in fish ponds.

Jaringan Fog untuk Pemantauan Real Time Kualitas Air Tambak Udang

Effective and efficient monitoring of water quality conditions in shrimp ponds is crucial to enhance shrimp production. Therefore, this research discusses a water quality monitoring system that provides real-time data and information on pond water quality parameters using a Fog network. The monitored water quality parameters include dissolved oxygen (DO), temperature, and pH. The values of these parameters are obtained in real-time through sensors within the Fog network. The data is then transmitted and stored in a database on a web server. The parameter values for temperature, pH, and DO in the database are illustrated in the form of graphs, representing the current condition of water quality. The system can also automatically provide notifications and alerts regarding the current monitored water quality condition. This enables prompt action to be taken if the parameter values deviate from the normal threshold limits

Monitoring the spatial distribution of water quality of an urban stormwater pond using satellite images

Stormwater ponds play a critical role in managing urban runoff and mitigating the impact of pollutants on receiving water bodies. This study investigates the potential of remote sensing (RS) techniques in retrieving water level and key water quality parameters in urban stormwater wet ponds. Specifically, the focus is on water level, chlorophyll-a (Chl-a), total suspended solids (TSS), turbidity, and Secchi depth (SD). The results indicate that RS techniques can provide reliable estimates of water level, Chl-a, turbidity, SD, and TSS in urban stormwater wet ponds. Results revealed that Chl-a concentrations are higher near the inlets and within the forebay, with a significant decrease downstream of the forebay. TSS and total dissolved solids (TDS) concentrations follow a similar pattern to Chl-a, being higher near the inlet and within the forebay, but significantly lower downstream. Notably, the highest concentrations of TSS, TDS, and Chl-a are observed in July, likely due to heavy rainfall events during that period. Through principal component analysis (PCA) and correlation analysis, the study effectively captured the interrelationships among the water quality parameters in the stormwater pond. The spatial distribution of TSS and Chl-a shows a correlation. Furthermore, the study uncovers a relationship between water temperature and Chl-a concentration, with Chl-a decreasing as the temperature exceeds 20 °C and increasing when it drops below 20 °C. This relationship is influenced by sunlight availability, which affects Chl-a growth, as evidenced by variations in Chl-a concentration between the water column's bottom layers and surface. Overall, this research highlights the potential of utilizing RS techniques to retrieve water quality parameters, providing valuable information for water managers and decision-makers. The ability to generate maps of these parameters using reflected light measurements above stormwater wet ponds also contributes to effective water quality management strategies.

Effect of harvested rainwater in farm ponds of a saline area on soil properties

Harvesting rainwater through surface storage is one of the options to combat the frequently occurring drought condition in rainfed agriculture. The quality of irrigation water plays a very important role in improving crop productivity and maintaining soil health, especially in the saline area. The information on the water quality of harvested rainwater in farm ponds of the saline area needs to be made available. Hence, an attempt has been made to study the water quality in farm ponds and its effect on soil health and crop productivity after irrigation using different energy sources for lifting the water. The study was carried out on 11 dugout-type farm ponds from the Ghusar village in Akola taluka of Akola district. The harvested rainwater in farm ponds was only used as protective irrigation for rabi crops through a sprinkler irrigation system operated by either an electric pump or diesel pump or tractor-operated pump. The values of EC (0.16 to 0.36) dSm-1, pH (7.54 to 8.66), SAR (1.02 to1.78) me l-1 and RSC (0.2 to 0.4) me l-1 in harvested rainwater indicated that the cations and anions were in acceptable limits of safe quality water for protective irrigation. The use of harvested rainwater in farm ponds in Ghusar village of the saline area was also found to be within safe limits from a soil health point of view and it maintains soil fertility.

Internet of Things- Based Automatic Feeder and Monitoring of Water Temperature, PH, and Salinity for Litopenaeus Vannamei Shrimp

Aquaculture of Litopenaeus Vannamei shrimp is one of Indonesia's most crucial commodity export shrimp. Aquaculture feed management and environmental management are essential factors in determining shrimp sustainability. To maximize shrimp farming results, proper feeding, water quality control, and con-tinuous monitoring of three critical parameters: temperature, power of hydrogen (pH), and salinity levels in ponds are required. This study aims to feed the shrimp automatically at predetermined times (07.00, 11.00, 16.00 and 20.00). At the same time, it will monitor pond water quality parameters. Temperature, pH and salinity are all factors monitored. Every 10 minutes, monitored data is stored in ThingSpeak using IoT technology. The design goal has a specific threshold to avoid future problems. A Telegram notification is sent every 10 seconds when the water condition exceeds the threshold. The overall accuracy rate of 98.81%, pH of 96.6%, and salinity of 99.17% demonstrate that the system works correctly.

Early Warning System Of Water Quality Changes In Fishponds

This study aims to develop an early warning system for changes in water quality in fish ponds using the MQTT and Telegram Bot protocols. Poor water quality can cause significant economic losses in fish farming. Therefore, a system is needed that can accurately and quickly detect changes in water quality and provide warnings to fish farmers. The method used in this study involves the installation of sensors that are connected to a microcontroller and a communication system using the MQTT protocol. The sensors used include temperature sensors, pH sensors, turbidity sensors, water level sensors, and salinity sensors. The data obtained from these sensors will be sent via the MQTT protocol to the server connected to Telegram Bot. Telegram Bot is used as an interface for users. This bot will receive data from the server and perform processing to evaluate the water quality in fish ponds. If a significant change in water quality parameters is detected, the bot will send an early warning to fish farmers via Telegram messages. Fish farmers can receive these alerts on their mobile devices, so they can quickly take the necessary action to improve water conditions. The results of this study indicate that the developed early warning system can provide fast and accurate warnings of changes in water quality in fish ponds. With this system, fish farmers can take the necessary actions to prevent losses caused by changes in water quality before more serious damage occurs. In addition, the use of Telegram as a communication platform allows fish farmers to receive alerts on their mobile devices, which increases the responsiveness and convenience of water quality monitoring.