Prototipo electrónico de monitoreo remoto de la calidad del agua para análisis de temperatura, oxígeno disuelto y pH en criaderos de tilapia en la granja piscícola Los Cristales- Hobo (Huila).
The importance of monitoring variables such as dissolved oxygen, pH and temperature, is crucial for the planning of activities such as water replacement, amount of food to be supplied and the operation of the aerator equipment, which if not controlled lead to problems such as mortality, slow growth...
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| Formato: | Estudio explicativo |
| Lenguaje: | Español |
| Publicado: |
Universidad Antonio Nariño
2024
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| Materias: | |
| Acceso en línea: | https://repositorio.uan.edu.co/handle/123456789/10210 |
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| Sumario: | The importance of monitoring variables such as dissolved oxygen, pH and
temperature, is crucial for the planning of activities such as water replacement, amount of
food to be supplied and the operation of the aerator equipment, which if not controlled lead
to problems such as mortality, slow growth of animals among others, seriously affecting the
efficiency in the production of mojarra in ponds on land in the fish farm Los Cristales; The
objective of the project is to develop an electronic prototype for remote monitoring of water
quality for analysis of the variables mentioned; the methodology used is based on the
development of a device based on an Arduino Uno with WiFi connectivity through the
ESP8266 module. This device connects to an Internet network and captures data from
sensors of the parameters to be measured. The data is digitized and sent to a MySQL storage
server, and simultaneously displayed graphically and in real time on an HTML web page.
The results showed that the degree difference between the HANA sensor and DS18B20
varies from 0.2 to 0.6 degrees Celsius, which shows that there is a slight difference between
the temperature readings. It is concluded that by allowing real time monitoring of water
quality in a fingerling planting lake, crop decision making can be improved and made more
efficient, minimizing future product losses. |
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