Development of Internet of Things System for Smart Farm of Pond Snail
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Abstract
This research aimed to: 1) study the context of snail farming and develop an Internet of Things (IoT)-based smart control system for snail farms, and 2) evaluate the efficiency and performance of the smart snail farm control system. The target group consisted of snail farmers in Nonthaburi Province, with 35 farmers participating in the implementation of the IoT-based control system. Research instruments included electronic devices, IoT information systems, technology acceptance assessment forms, satisfaction assessment forms, and snail growth observation forms.
The results of this research showed that 1) Development of the IoT-based smart snail farm control system demonstrated efficient water quality management tailored to the requirements of snail farming with key components of the system included temperature control, pH control, and turbidity control. The system automatically responded to abnormalities in water quality by draining and replacing the water and reporting the status to farmers via the Internet in real-time. This functionality enabled farmers to remain informed and maintain continuous control over their agricultural operations. and 2) The results of the efficiency test revealed that the water quality control system in the cement pond significantly impacted the growth and reproduction rates of male snails across three phases: Stage 1: Male snails were approximately 60 days old and measured 2.7 centimeters in size. Stage 2: Male snails in the nursery pond were approximately 30 days old and measured 1.4 centimeters in size. Stage 3: Male snails in the expansion pond were approximately 45 days old and measured 2.3 centimeters in size. In conclusion, male snails in the third phase began reproducing in the cement pond at 45 days, compared to natural farming conditions where snails typically reproduce between 60–120 days. This demonstrates that the efficient water quality control system in the cement pond accelerated the breeding rate compared to traditional farming methods. Farmers expressed high levels of acceptance regarding the system's efficiency, as reflected in the satisfaction assessment results, which were highly favorable. Additionally, farmers showed strong acceptance of the Internet of Things (IoT) technology employed for managing the snail farm, highlighting its practicality and effectiveness.
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