| Abstract |
The current chick hatching operations are hatched after artificial insemination in Taiwan but with fertilization rate lower than 100%. Moreover, genetic defects leading poor embryonic development, contaminated by pathogenic bacteria, poor hatching storage environment in fertilized eggs will induce poor embryonic growth, irregular hatched chick sizes and reduced egg hatching rate. For large-scale egg hatcheries, failed incubation and hatched chicks with different sizes during the incubation of fertilized eggs resulting in a diversified fluctuation in the supply and demand difficulties of the breeding-related industries of hatchery. These will unstable cost and profitability. Our team will use a non-destructive infrared thermal camera, combined with machine deep learning of the image visual recognition system to detect problematic fertilized eggs and fertilized eggs with different eggshell pore sizes. In the pore detection part of the fertilized eggs, these eggs are divided into three types according to the distribution of the eggshell pores. According to characteristics of these different fertilized eggs, the optimal incubator or environment parameters for hatching are collected and adjusted. The intelligent hatched incubator is designed that automatically regulates temperature, humidity and air flow to produce chicks with consistent hatched specification, thereby reducing the burden of hatchers. In this way, the loss of the hatchery can be reduced and the income can be increased to improve the operating cost. In recent years, the technology and equipment of farming industry have become more sophisticated. Using intelligent technology and equipment to improve the difficulty of recruiting employees in related industries. Problems such as the aging systems of industry with difficulty of succession have become the threshold that precision agriculture must cross. Therefore, the direction of agriculture must be upgraded towards automation and intelligence. The development of automation equipment can also be used to reduce the probability of pathogenic bacteria contamination by staff operations in the hatchery. This will improve the animal epidemic crisis at the same time. The testing equipment to be developed in our project can reduce the production costs or related companies, improve public health issues, and upgrade the broiler, breeder and hatching industry to the scale of agricultural intelligence. |
