AQUACULTURE

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Automated Smart Intelligent Prawn Hatchering System

Automated Smart Intelligent Prawn Hatchering System aimed to monitor and control prawn farm for higher productivity and less risk with aqua IoT technology. This project integrates microcontroller based physical devices, the internet of things, and mobile applications, allowing users to remotely monitor a prawn farm and receive alerts when an out-of-range water parameter (temperature, pH, dissolved oxygen, salinity level, and turbidity) is detected. This system’s sensors collect data on prawn farm water measurements. This method was examined for size, weight, and percentage of prawn survival when monitoring a prawn culture pond.

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Automated Water Quality Monitoring
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Predictive Analytics for Growth Phases
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Optimized Temperature and Environment Control
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Smart Feeding Strategies
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Automated Smart Intelligent Aquarium Management System

The Automated Smart Intelligent Aquarium Management System includes numerous built-in capabilities that can make caring for your fish much simpler. The sophisticated technology guarantees that your fish’s health is never jeopardised. It emphasises providing a healthy and natural environment for them. With this device, you can also monitor the water, pH, and oxygen levels using a smartphone app that sends regular updates on the tank’s health. In some of these tanks, the automated feeder feature can assist you feed your fish at regular intervals, even when you are not present to do so.

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IoT-Driven Environmental Monitoring
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Automated Feeding Regimen
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Remote Monitoring and Control
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Predictive Health Maintenance
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Automated Smart Intelligent Aquaponics System

Automated Smart Intelligent Aquaponics System is a sustainable agriculture system in a symbiotic environment by combining aquaculture and hydroponics. This water system should flow on the planting medium periodically to ensure the plants get the nutrients, while the water can be filtered properly by the medium. This project designed a smart system that could control and monitor the degree of acidity, water level, water temperature, and fish feed that were integrated with IoT application.

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Dynamic Water Quality Control
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AI-Optimized Nutrient Management
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Remote Monitoring and Control
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IoT-Driven Environmental Integration

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