神经网络模糊PID算法在温室温度控制中的仿真研究

为了更好地实现对温室温度的控制,提出了温室温度控制的一种新的控制方法;通过仿真比较证明了此方法的有效性,并对其动静态特性、鲁棒性和抗干扰能力进行了探讨。结果表明,采用神经网络模糊PID算法的温室温度控制方法具有较好的动静态特性、鲁棒性和抗干扰能力。     

自动化控制温室降温-程序设计参数的研究

根据我国华东地区的气候特点，在3种基本降温原理(通风、蒸发和防辐射)的基础上，设计了几种降温方法并进行了实验。基于实验数据的分析，提供了温室降温程序的主导因子和辅助因子，提高了自动化控制温室降温运行系统的科学性、实用性和稳定性。     

日光温室蔬菜智能化管理系统建模

随着精准农业的发展,智能化管理将在现代农业中广泛应用。针对智能化管理在日光温室蔬菜生产中尚鲜见报道的情况,该研究以日光温室蔬菜为研究对象,通过对日光温室环境特征的分析,设计一种基于无线传感器网络技术的低成本温室监测系统,用于监测温度、湿度、二氧化碳浓度等关键环境参数,并建立日光温室蔬菜系统,通过建模,建立不同子模块,实现蔬菜生产的智能化管理。     

基于三维点云的蔬菜大棚杂草识别方法

为实现蔬菜大棚内自动化除草的目的,针对其中的杂草识别环节,提出了一种基于三维点云的新型蔬菜大棚杂草识别方法。采用RGB-D相机获取青菜田、生菜田的三维点云图像,采用超绿色算法去除其中的土壤等背景,采用体素滤波法在保留点云图像形状特征的同时降低点云数量,然后采用欧式聚类法分割出单株青菜和单棵杂草的点云簇,分别计算得到每个点云簇的最高点的Z坐标值,最后结合深度信息Z坐标值实现蔬菜大棚杂草识别。结果表明:这种基于三维点云的杂草识别方法能够有效的识别出杂草,识别率为86.48%。该方法能够对蔬菜大棚中的杂草进行准确识别,为蔬菜大棚自动化除草提供有效的解决方案。     

小型南瓜棚室高产栽培技术

南瓜品种类型多样,不同品种南瓜高产栽培技术不同,现就小型南瓜品种棚室高产栽培技术进行阐述。     

基于Ecotect的温室环境参数的模拟分析

应用Ecotect软件对温室内的光照分布和温度等环境参数进行模拟,并将模拟数据与实测数据进行对比分析,探讨软件用于温室设计中的可行性。结果表明:实测数据与模拟数据差异不显著,该软件可作为温室设计优化的辅助性工具。     

拱棚叶类蔬菜复种水稻试验研究

为了充分利用宁夏富足的光、热资源,改革创新种植业耕作模式,提高农田复种指数和产出率,宁夏原种场对在水稻插秧前加种一茬全生育期为40～45 d的速生叶类蔬菜进行了试验研究。结果表明:参试的四季小白菜、菠菜、油菜、生菜、茴香、茼蒿等6种蔬菜均达到了商品菜标准,净产值在11 760.0～43 860.0元/hm2,具有很大的推广价值。     

Above and Below Ground Measurements of Greenhouse Gases from Swine Effluent Amended Soil

Abstract

As a means of economic disposal and to reduce need for chemical fertilizer, waste generated from swine production is often applied to agricultural land. However, there remain many environmental concerns about this practice. Two such concerns, contribution to the greenhouse effect and stratospheric ozone depletion by gases emitted from waste‐amended soils, have not been thoroughly investigated. An intact core study at Auburn University (32 36′N, 85 36′W) was conducted to determine the source‐sink relationship of three greenhouse gases in three Alabama soils (Black Belt, Coastal Plain, and Appalachian Plateau regions) amended with swine waste effluent. Soil cores were arranged in a completely random design, and treatments used for each soil type consisted of a control, a swine effluent amendment (112 kg N ha^?1), and an ammonium nitrate (NH₄NO₃) fertilizer amendment (112 kg N ha^?1). During a 2‐year period, a closed‐chamber technique was used to determine rates of emission of nitrous oxide (N₂O)–nitrogen (N), carbon dioxide (CO₂)–carbon (C), and methane (CH₄)–C from the soil surface. Gas probes inserted into the soil cores were used to determine concentrations of N₂O‐N and CO₂‐C from depths of 5, 15, and 25 cm. Soil water was collected from each depth using microlysimeters at the time of gas collection to determine soil‐solution N status. Application of swine effluent had an immediate effect on emissions of N₂O‐N, CO₂‐C, and CH₄‐C from all soil textures. However, greatest cumulative emissions and highest peak rates of emission of all three trace gases, directly following effluent applications, were most commonly observed from sandier textured Coastal Plain and Appalachian Plateau soils, as compared to heavier textured Black Belt soil. When considering greenhouse gas emission potential, soil type should be a determining factor for selection of swine effluent waste disposal sites in Alabama.     

包膜控释尿素对大棚番茄的增产与品质提高效应

对施用包膜控释尿素和普通尿素的大棚番茄进行了田间生产条件下产量与品质对比分析试验。结果表明:与普通尿素相比施用控释尿素有显著的增产效果。D 60控释处理(控释期60 d)产量最高,为68.85 t/hm2,比对照增产19.39 t/hm2,增产率为39.2%;比尿素增产10.10 t/hm2,增产率为17.2%;D 90(控释期90 d)比对照增产15.37 t/hm2,增产率为31.0%;比尿素增产6.08 t/hm2。增产率为10.3%;D 90与D 60两种控释尿素之间产量差异不显著。控释尿素具有增加单株果数、单果重的效果。D 90与D 60氮素当季利用率比普通尿素分别高65.5%和108.8%。硝酸盐含量,以D 90为最低,仅比对照高4.4%,比普通尿素低56%;D 60比对照高15%,比尿素处理低51.6%;尿素处理比对照高137.3%。V c和氨基酸含量,D 90为最高,分别比对照高1.00倍和2.46倍;比普通尿素处理高22%和100%;D 60与尿素两处理V c含量差异不显著,但氨基酸总量前者却比后者高48%。可溶性糖含量以D 60较高,普通尿素为最低。综合品质指标为:D 90>D 60>U。说明控释尿素具有显著地增产效应和提高蔬菜品质的突出效应,特别在提高蔬菜的安全品质方面贡献最大。综合各项,在番茄生产中以选用控释期为60 d的包膜控释尿素为最好。     

A Greenhouse Test for Screening Sugar Beet (Beta Vulgaris) for Resistance to Rhizoctonia Solani

Rhizoctonia solani Kühn is a serious plant pathogenic fungus, causing various types of damage to sugar beet (Beta vulgaris L.). In Europe, the disease is spreading and becoming a threat for the growing of this crop. Plant resistance seems to be the most practical and economical way to control the disease. Experiments were carried out to optimise a greenhouse procedure to screen plants of sugar beet for resistance to R. solani. In the first experiment, two susceptible accessions were evaluated for root and leaf symptoms, after being grown in seven different soil mixtures and inoculated with R. solani. The fungus infected all plants. It was concluded that leaf symptoms were not reliable for the rating of disease severity. Statistically significant differences between the soil mixtures were observed, and there were no significant differences between the two accessions. The two soil mixtures, showing the most severe disease symptoms, were selected for a second experiment, including both resistant and susceptible accessions. As in the first experiment, root symptoms were recorded using a 1–7 scale, and a significant expression of resistance was observed. The average severity of the disease in the greenhouse experiment generally was comparable with the infection in field experiments, and the ranking of the accessions was the same in the two types of experiments. It was concluded that evaluation procedures in the greenhouse could be used as a rapid assay to screen sugar beet plants for resistance to R. solani.