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Design An Automated Animal Feeding System Using Time and Weight Sensors
Published Online: January-April 2026
Pages: 409-412
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The Automated Animal Feeding System using Time and Weight Sensors is designed to provide a smart and efficient solution for feeding animals automatically. In traditional feeding methods, farmers and animal caretakers must manually provide food at sp ecific times, which can be time-consuming and inconsistent. This system reduces human effort and ensures animals receive food at the correct time and in the required quantity. By automating the feeding process, the system improves animal health, reduces feed wastage, and increases overall farm productivity. The system operates using a Real-Time Clock (RTC) module to maintain accurate feeding schedules and weight sensors to measure the amount of feed dispensed. The microcontroller controls the feeding process based on the programmed schedule and sensor inputs. When the scheduled time is reached, the system activates the feeding mechanism, and the weight sensor monitors the quantity of food delivered. Once the desired weight is achieved, the system automatically stops the feeding process, ensuring precise feeding. This automated feeding system is suitable for farms, poultry units, dairy farms, and pet care environments. It helps farmers manage feeding routines even when they are not physically present. The system also reduces the chances of overfeeding and underfeedi ng, which can affect animal health and productivity. Additionally, it minimizes labor costs and improves operational efficiency, making it a cost-effective solution for modern farming. In conclusion, the Automated Animal Feeding System using Time and Weight Sensors offers a reliable and intelligent approach to animal feeding. By combining time-based scheduling and weight-based monitoring, the system ensures proper feeding management. This technology enhances animal welfare, saves time, and improves productivity, making it an ideal solution for smart agriculture and automated farm management.
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