首页|Report Summarizes Machine Learning Study Findings from Hebei Agricultural University (A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO2 Concentration as an Example)
Report Summarizes Machine Learning Study Findings from Hebei Agricultural University (A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO2 Concentration as an Example)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artificial intelligence. According to news reportingout of Baoding, People’s Republic of China, by NewsRx editors, research stated, “In a layer house, theCO2 (carbon dioxide) concentration above the upper limit can cause the oxygen concentration to bebelow the lower limit suitable for poultry. This leads to chronic CO2 poisoning in layers, which manifestsas listlessness, reduced appetite, weak constitution, decreased production performance, and weakenedresistance to disease. Regulating ventilation may ensure a suitable CO2 concentration in layer houses.”Financial supporters for this research include S&T Program of Hebei; Modern Agricultural IndustrialTechnology System in Hebei Province Innovation Team Project; Beijing Innovation Consortium of DigitalAgriculture Research System; Research Project on Basic Research Business Expenses of Provincial HigherEducation Institutions in Hebei Province.
Hebei Agricultural UniversityBaodingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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