Arduino-based Catfish Seed Counter Read on Mobile Devices

被引:0
作者
Putri, Erinda Febrian Ike [1 ]
Hadi, M. Nourman [1 ]
Masfufah, Umi [2 ]
Sarosa, Moechammad
机构
[1] State Polytech Malang, Digital Telecommun Network, Elect Engn, Malang, Indonesia
[2] State Polytech Malang, Telecommun Engn, Elect Engn, Malang, Indonesia
来源
INTERNATIONAL CONFERENCE ON DESIGN, ENGINEERING AND COMPUTER SCIENCES | 2018年 / 453卷
关键词
Catfish Seeds; seed sorting; seed counting; Arduino; wifi module ESP8266;
D O I
10.1088/1757-899X/453/1/012057
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The calculation of catfish seeds is done conventionally, by sorting the size of seed catfish using a tub hollow then manually calculate the number of seeds. Because the development of catfish is often not the same, in which some fish seeds grow faster than others, so the farmers have to sort the fish seed according to its size. On the other hand, if the size of the fish is relatively the same, sorting fish is done to avoid the possibility of large fish eats smaller fish. With these problems, a tool is developed to sort the fish seed by size. Sorting technique is done mechanically using a hole line trajectory with small, medium and large size. The prototype is made using hole sizes with diameters of 6, 8 and 10 mm. After sorted by the size, calculation is done on each size group by utilizing an electronic circuit using photodiode sensor. The calculations were performed using Arduino Uno based on information from the photodiode sensor, and the results are displayed on the LCD. To make it easier to see the results of the calculation then the calculation results are also shown on the smartphone. By using the ESP8266 Wi-Fi module, the calculated data is sent to the server to be read using application on the smartphone. Test results showed that the process of sorting the seeds of fish based on the size went accordingly and the seeds are classified according to size. Moreover, the test of electronic calculation yielding the percentage of small fish seed count error 0%, medium 1%, and big 0,64%, so that the average error is 0,56%.
引用
收藏
页数:8
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