Big Data Analytic Technology for Broiler Specification Prediction and Feeding Condition Optimizing for Smart Agriculture
The technology develops an algorithm to estimate the average weight of broilers in poultry houses every hour. In addition, using the prediction results and historical broiler carcass distribution information to predict the average weight and slaughtering specification distribution of each farm for the next 7 days. The technology enables agribusiness to accurately schedule the appropriate time for each farm to meet the market＇s specifications and reduce losses and waste. The technology has been validated in the broiler industry, achieving an accuracy of 98％ in weight prediction and an error rate of 6％ in specification prediction.
National Tsing Hua University (NTHU), established in 1911 and located in Hsinchu, Taiwan, is one of the top research universities in the country. NTHU offers a wide range of programs in fields such as engineering, science, management, and humanities. The university is known for its strong emphasis on innovation, research excellence, and fostering global perspectives. With a commitment to academic rigor and interdisciplinary collaboration, NTHU plays a key role in advancing knowledge and technological development, contributing to both Taiwan’s growth and the global academic community.
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Technology maturity：Prototype
Exhibiting purpose：Display of scientific results
Trading preferences：Negotiate by self
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