Design and Optimisation of a Time-Controlled Feeding Machine for Shrimp Farming

Abstract The shrimp farming industry at a global scale has experienced noteworthy growth over time; however, it is important to note that conventional farming methods in Thailand are currently encountering various obstacles, including low yields, high production costs, and risks associated with diseases. This research explores the development and implementation of a time-controlled, mobile automatic shrimp feeding machine aimed at optimising feed distribution and enhancing the overall efficiency of shrimp farming operations. The designed system utilises an Arduino-based microcontroller to automate and precisely control feeding schedules, ensuring the delivery of an optimal amount of feed based on the shrimp‘s weight and developmental stage. Through rigorous performance assessments conducted within a sizable 15 × 20 meter shrimp pond, the results demonstrated that the automatic feeding machine achieved a feed distribution coverage of 83% of the pond area, significantly higher than the 65.33% coverage achieved through manual feeding. The machine‘s mobility further ensures even feed dispersion throughout the pond, addressing the limitations of stationary feeders. Additionally, the automation of feeding processes significantly reduces the manual labour required, thus increasing operational efficiency and reducing the potential for human error associated with traditional feeding practices.