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Big Data Analytic Technology for Broiler Specification Prediction and Feeding Condition Optimizing for Smart Agriculture

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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.

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  • Name:LU;YING-YU

  • Phone:03-5742648分機無

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  • Pavilion:Future Tech Aiot Area

  • Affiliated Ministry:National Science and Technology Council

  • Application Field:Life Application

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  • Technology maturity:Prototype

  • Exhibiting purpose:Display of scientific results

  • Trading preferences:Negotiate by self

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