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犢牛飼喂信息系統(tǒng)設(shè)計(jì)與給奶量預(yù)測(cè)研究
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2019YFE0125400、2016YFD0701703)


Design of Calf Feeding Information System and Forecast of Milk Supply Quantity
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    摘要:

    我國(guó)大型牧場(chǎng)在營(yíng)養(yǎng)免疫與管理效率等方面對(duì)犢牛集約化養(yǎng)殖要求不斷提高,為此設(shè)計(jì)了犢牛飼喂信息系統(tǒng),與養(yǎng)殖管理人員工作模式變革的需求相適應(yīng),實(shí)現(xiàn)不同日齡犢牛飼喂全過程數(shù)據(jù)的可視化管理,利用改進(jìn)的Logistic回歸算法預(yù)測(cè)犢牛的給奶量,實(shí)現(xiàn)自動(dòng)化精確飼喂,保障犢牛的健康發(fā)育?;贐/S架構(gòu)設(shè)計(jì)了犢牛飼喂信息管理系統(tǒng),能夠采集犢?;拘畔?、犢牛體質(zhì)量、犢牛歷史飲奶信息、犢牛實(shí)時(shí)飲奶信息、飲奶站工作狀態(tài)等全流程、全要素的各類數(shù)據(jù),并實(shí)現(xiàn)數(shù)據(jù)的前端顯示和后端保存,實(shí)現(xiàn)犢牛飼喂全過程中數(shù)據(jù)的可視化?;诟倪M(jìn)的Logistic回歸算法,建立了犢牛給奶量和代乳粉濃度預(yù)測(cè)模型,改進(jìn)后的算法運(yùn)行時(shí)間可縮短至0.3s,算法的效率提高12倍。犢牛養(yǎng)殖試驗(yàn)表明,預(yù)測(cè)模型具有良好的準(zhǔn)確性,試驗(yàn)中犢牛平均實(shí)際飲奶率達(dá)到95%以上。提高了牧場(chǎng)犢牛管理的智能化、精細(xì)化水平,降低了飼喂成本,提高了奶牛場(chǎng)的綜合效益。

    Abstract:

    With the improvement of the requirements for intensive breeding of calves in large-scale pastures in China, in terms of nutrition, immunity and management efficiency, a feeding information system was designed to realize the visual management of data in the whole feeding process of calves of different ages,aiming to adapt to the needs of the reform of the working mode of breeding managers. Improved Logistic regression algorithm was used to predict the milk supply of calves to realize automatic and accurate feeding, and ensure the healthy development of calves. Based on the B/S architecture, a calf feeding information management system was designed, which can collect the basic information of calves, calf weight, historical milk drinking information of calves, real-time milk drinking information of calves, and working status of milk drinking stations, and all kinds of data of the elements, realizing the front-end display and back-end storage of the data, and visualization of the data in the whole process of calf feeding. Based on the Logistic regression algorithm, a prediction model for the milk supply and milk replacer concentration of calves was established,the running time of the improved algorithm can be shortened to 0.3s, and the efficiency of the algorithm can be increased by 12 times. The calf breeding test showed that the prediction model had good accuracy. The average actual milk drinking rate of calves in the experiment reached more than 95%. The intelligent and refined level of cattle management reduced feeding costs.

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賀剛,翟改霞,祝天宇,蔡曉華,王德成.犢牛飼喂信息系統(tǒng)設(shè)計(jì)與給奶量預(yù)測(cè)研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2022,53(s2):241-248. HE Gang, ZHAI Gaixia, ZHU Tianyu, CAI Xiaohua, WANG Decheng. Design of Calf Feeding Information System and Forecast of Milk Supply Quantity[J]. Transactions of the Chinese Society for Agricultural Machinery,2022,53(s2):241-248.

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  • 收稿日期:2022-06-16
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  • 在線發(fā)布日期: 2022-08-22
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