机电一体化
青贮饲料
工程类
跟踪(教育)
控制工程
人工智能
计算机科学
模拟
食品科学
生物
心理学
教育学
作者
Yurui Sun,Guilin Shan,Wilfried Berchtold,Lokuthota Hewage Roland,Hauke F. Deeken,Christian Maack,A. Milimonka,David A. Grantz,Ismail-Hakkı Acır,Kristin Rang,Wolfgang Buescher
标识
DOI:10.1016/j.compag.2025.110902
摘要
• A mechatronic system with 30 sensors for precise tracking of aerobic decay in silage. • A robotic e-nose detects CO 2 and Ethanol emission from a multi-sample array. • Microbial metabolism related to time courses of O 2 , CO 2 , pH, ethanol, and temperature. • Anerobiosis in air-exposed silage: a balance of aerobic and anaerobic metabolisms. • A method of data validation for multi-sensors, multi-parameters, multi-sample fusion. Aerobic deterioration and resulting losses in silage are of worldwide concern to livestock managers. To mitigate degeneration of silage quality during feed-out, diverse chemical and biological additives have been developed. To allow efficient assessment of these additives, integrated chemical, microbiological and technological approaches are required but current methods are inadequate. Here we present an innovative mechatronic solution, combining robotic electronic gas detection (e-nose) of the fluxes of carbon dioxide (CO 2 ) and ethanol (EtOH) with in situ measurements of oxygen (O 2 ) concentration, pH and substrate temperature (T si ). Nine sample chambers allow complex experimental design. The efficacy of the multi-sensor-based system, by documenting the oxidative degradation of maize silage (four control samples and four treated with a Lactobacillus bio-additive), demonstrated: (i) O 2 is shown to be a potential indicator of microbial activity, initially stable at 18∼20 vol% then declining to 6.1∼12.5 vol%; (ii) T si and CO 2 exhibited similar dynamics, in opposite sense, rising with the decline of O 2 ; (iii) pH increased but lagged the decline of O 2 , and (iv) EtOH efflux increased only after O 2 was substantially depleted to 5.8∼13.4 vol%. The positive effect of the additive has been observed from all parameters measured in situ. This automated measurement system provides a new technique and experimental method to facilitate silage research and gas-emission investigations related to silage production.
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