基于物联网和3G技术的智能水产养殖环境监测系统的设计与应用

为了解决传统水产养殖的弊端,本文提出了一种利用物联网技术和3G技术设计实现集智能传感、自动组网、实时处理、机械管理于一体的智能水产养殖环境监测系统设计方案,可以实现对养殖区域水质的溶解氧、pH值、盐度、浊度、氨氮等参数的实时监测.实现了水产养殖的机械化、自动化、智能化和节能化.     

水产养殖对水环境的影响与污染控制对策

概述了水产养殖的发展现状和在环境、病害、苗种、管理等方面存在的问题，并结合实际提出了控制水产养殖对环境污染的对策。     

Total mercury levels in commercial fish species from Italian fishery and aquaculture

ABSTRACT

Total mercury levels were measured in 42 commercial fish species caught off the Central Adriatic and Tyrrhenian coasts of Italy and in 6 aquaculture species. The study on wild fish covered species differing in living habitat and trophic level. The study on farmed fish covered marine and freshwater species from intensive and extensive aquaculture and their feed. Mercury levels were analysed by thermal decomposition–amalgamation–atomic absorption spectrophotometry. Total mercury concentrations in the muscle of wild fish showed a high variability among species (0.025–2.20 mg kg^?1 wet weight). The lowest levels were detected in low trophic-level demersal and pelagic–neritic fish and in young individuals of high trophic-level species. Levels exceeding the European Commission limits were found in large-size specimens of high trophic-level pelagic and demersal species. Fish from intensive farming showed low levels of total mercury (0.008–0.251 mg kg^?1). Fish from extensive rearing showed variable contamination levels, depending on the area of provenience. An estimation of the human intake of mercury associated to the consumption of the studied fish and its comparison with the tolerable weekly intake is provided.     

反硝化细菌降解养殖水体亚硝酸盐的研究

以校内人工湖水为菌种来源,对反硝化细菌进行了富集培养,考察培养温度、投菌量、初始亚硝酸盐氮(NO-2-N)浓度等因素对反硝化细菌降解亚硝酸盐的影响。结果表明,当温度28℃,投菌量为每升水中20 mL反硝化细菌浓缩液,初始亚硝酸盐氮浓度20 mg/L时,亚硝酸盐氮去除率高达97.12%。     

环境友好型水产养殖业发展战略

本项研究在总结我国水产养殖业发展主要经验基础上,论述了进一步发展水产养殖业的战略意义。在绿色、低碳和碳汇渔业发展新理念引导下,提出环境友好型水产养殖业发展战略,主要包括:推动水产养殖业现代化发展的"养护、拓展和高技术"三大发展战略;实现水产养殖业"高效、优质、生态、健康、安全"可持续发展的任务目标;近期需着力构建的现代水产养殖业创新发展体系的重点任务等。针对目前产业存在的问题和发展需求,提出重视水产养殖对发展空间的需求、建立养殖水域容纳量评估制度、发展生态系统水平的新型养殖生产模式、实施养殖装备提升工程、加强水产养殖管理与执法能力建设等对策建议。     

基于ZigBee的水产养殖无线监控系统设计

针对国内水产养殖监控系统的研究现状,设计了一套基于ZigBee的无线传感监控系统。该系统结合无线通信技术、传感器技术和GSM通信技术,不但可以监测水温、溶解氧和pH值等水环境参数,还可以监测大气环境参数和养殖中心能耗状况。实际运行结果表明,该系统运行稳定,传感器数据采集、无线传输和执行器远程控制等功能达到设计要求,提高了养殖中心的管理效率。     

基于CC2530的水产养殖监控系统的设计

为了解决传统水质监测方案中遇到的布线困难、成本高等问题,并能实现对水质环境因子的准确测量与控制,介绍了一种基于无线传感器网络的智能监控系统在水产养殖中的应用。选用集数据收发和数据处理于一体的低功耗芯片CC2530,设计了以CC2530为射频收发器的低功耗无线传感器网络节点,实现了对水产养殖水质参数的采集、处理和显示。在IAR开发环境下编写和编译传感器节点程序,实现了无线传感器网络节点之间的数据传输功能。结果表明:该系统各项技术性能指标达到设计要求,而且系统结构简单,数据传输速度快,功能易扩展,具有推广和应用价值。     

Gilthead Seabream Liver Integrative Proteomics and Metabolomics Analysis Reveals Regulation by Different Prosurvival Pathways in the Metabolic Adaptation to Stress

The study of the molecular mechanisms of stress appraisal on farmed fish is paramount to ensuring a sustainable aquaculture. Stress exposure can either culminate in the organism’s adaptation or aggravate into a metabolic shutdown, characterized by irreversible cellular damage and deleterious effects on fish performance, welfare, and survival. Multiomics can improve our understanding of the complex stressed phenotype in fish and the molecular mediators that regulate the underlying processes of the molecular stress response. We profiled the stress proteome and metabolome of Sparus aurata responding to different challenges common to aquaculture production, characterizing the disturbed pathways in the fish liver, i.e., the central organ in mounting the stress response. Label-free shotgun proteomics and untargeted metabolomics analyses identified 1738 proteins and 120 metabolites, separately. Mass spectrometry data have been made fully accessible via ProteomeXchange, with the identifier PXD036392, and via MetaboLights, with the identifier MTBLS5940. Integrative multivariate statistical analysis, performed with data integration analysis for biomarker discovery using latent components (DIABLO), depicted the 10 most-relevant features. Functional analysis of these selected features revealed an intricate network of regulatory components, modulating different signaling pathways related to cellular stress, e.g., the mTORC1 pathway, the unfolded protein response, endocytosis, and autophagy to different extents according to the stress nature. These results shed light on the dynamics and extent of this species’ metabolic reprogramming under chronic stress, supporting future studies on stress markers’ discovery and fish welfare research.     

具有SE结构的改进的PSPNet用于紫菜养殖区识别

目前深度学习技术被广泛应用于解决实际问题的各个领域,其中在筏式海水养殖区识别方面也取得了很大的进展。但由于海水养殖区环境复杂,导致容易产生误分问题。本文主要利用高分遥感影像,通过人工标注三分类标签,利用具有SE结构的改进的PSPNet模型来进行紫菜养殖区的识别工作,有效的改善了小样本误分问题。PSPNet能同时捕获紫菜养殖区的高级语义特征以及不同尺度的空间信息,SE结构通过学习的方式来自动获取到每个特征通道的重要程度,提升有用的特征并抑制对当前任务用处不大的特征,以提高小样本识别率。实验结果表明,与经典的FCN,U-Net网络相比该方法在紫菜养殖区的识别上有更好的效果,能够实现紫菜养殖区的提取应用。     

基于VGG-16卷积神经网络的海水养殖病害诊断

海水养殖生物在养殖过程中会受到各种病害的影响,病斑特征的差异性非常适合利用图像识别技术做诊断.基于以上需求,本文设计了一种基于VGG-16卷积神经网络的海水养殖病害诊断模型,并采用随机梯度下降算法、防止过拟合技术来改进模型.实验结果显示,本研究模型相比其他传统网络模型效果更好,具有很高的识别精度、鲁棒性和泛化能力,可以准确快速地进行病害诊断,具有一定的扩展性和推广价值.