基于STM32温室环境测控系统的研究

在传统温室自动化监控系统的基础上,针对目前温室大棚面积不断增大、温室内传感器种类及数量不断增多,且不易连栋管理的现状,设计了基于ARM CORTEX-M3核的以STM32单片机为核心的智能温室控制系统。系统采用CAN总线技术对连栋大棚的主要环境因子,如温度、湿度及光照度等进行智能控制,通过串行通信实现上位机控制,增强了温室大棚的智能化和实用性。     

Chemical and physical changes in milk protein concentrate (MPC80) powder during storage

The solubility and chemical changes due to the Maillard reaction were investigated in milk protein concentrate powder containing 80% protein (MPC80) during storage at temperatures and relative humidities in the ranges of 25-40 °C and 44-84%, respectively. The Maillard reaction was studied by measuring furosine (a product of lactosylated protein after digestion with acid) and free hydroxymethylfurfural (HMF) contents by HPLC and L*, a*, b* values with a color-meter. Furosine, free HMF, and browning in MPC80 increased during storage, whereas the solubility decreased. The correlation between the Maillard reaction and solubility loss was explored in modified MPC80 to which glucose was added to enhance the rate of the Maillard reaction. More furosine and brown pigments were observed in the glucose-containing MPC80 than in MPC80 with added lactose. The opposite trend occurred for solubility, suggesting that the Maillard reaction may be a cause of solubility loss in MPC powder.     

基于植被覆盖率的农村居民点整理潜力估算及实证

为合理估算农村居民点整理潜力,该文提出基于植被覆盖率的农村居民点整理潜力测算新思路。借助植被覆盖率对农村居民点斑块进行分类,通过分析抽样农村居民点斑块的植被覆盖与内部用地结构得到整理潜力修正系数,从而建立基于植被覆盖率修正的农村居民点整理潜力估算模型,并以北京市门头沟区为例展开实证研究。研究结果表明,门头沟区无整理潜力的农村居民点占大多数,具有整理潜力的农村居民点主要集中在经济相对落后的乡镇,并且这部分农村居民点多远离主干道;山区具有中、高整理潜力的农村居民点略多于平原、浅山区,而低整理潜力的农村居民点明显多于平原、浅山区;门头沟区规划整理的农村居民点内部包含有大量农用地,其中建设用地比例只占63.19%～71.54%,但是,第二次土地调查将整个农村居民点都作为建设用地调绘;因而,一些不考虑植被覆盖修正的农村居民点整理潜力测算方法夸大了整理潜力,放大了城乡建设用地增减挂钩的效果。该文为进一步合理估算农村居民点整理理论潜力提供参考。     

基于冲刷试验的贵州耕地土壤抗冲性研究

对5种不同坡度(5°～25°)的翻耕地以及有苔藓覆盖的荒坡地(20°)进行不同流量下(0.042～0.250L/s)的放水冲刷试验,以探讨贵州耕地坡面水动力性质、土壤抗冲性及地表生物(苔藓)对坡面侵蚀产沙的影响。结果表明,贵州地区坡耕地坡面流速与冲刷流量呈较好的幂函数关系,而与坡面坡度无关。坡面土壤分离速率与坡度及冲刷流量均呈显著正相关,并可用水动力学参数水流剪切力来估算贵州坡耕地土壤分离速率。与黄土高原相比,在同一坡度、同一冲刷流量下贵州坡耕地坡面产沙速率低于黄土高原坡耕地,表明贵州黄壤抗冲性高于黄土。苔藓覆盖可显著减小坡面侵蚀速率,在同一冲刷流量下,具有苔藓覆盖的荒坡地坡面产沙速率低于翻耕地达3个数量级。     

基于微根管技术的玉米根系生长监测

为了研究玉米根系生长规律,该文利用固城农业气象试验站内设置的大型根剖面系统,采用微根管观测法,对试验地上玉米主要生育期的根系生长动态进行定期直接跟踪监测,并以方形整段标本法作为参照标准,对试验数据采用MATLAB软件辅助图像处理和现代统计方法进行分析。结果表明：微根管法与方形整段标本法对得出的根长密度随深度增加呈递减型有较好的一致性,两者相关系数达到0.83以上,通过0.05的显著性检验;由观测数据建立的回归方程能较好地反映土壤中玉米根系生长规律,进一步表明微根管法是一种破坏性较小、可准确定位跟踪植物根系在土壤中生长动态变化的先进技术,对植物根系生长研究有较好的推广应用价值。     

Earthworm populations and growth rates related to long-term crop residue and tillage management

Conventional tillage creates soil physical conditions that may restrict earthworm movement and accelerate crop residue decomposition, thus reducing the food supply for earthworms. These negative impacts may be alleviated by retaining crop residues in agroecosystems. The objective of this study was to determine the effects of various tillage and crop residue management practices on earthworm populations in the field and earthworm growth under controlled conditions. Population assessments were conducted at two long-term (15+ years) experimental sites in Québec, Canada with three tillage systems: moldboard plow/disk harrow (CT), chisel plow or disk harrow (RT) and no tillage (NT), as well as two levels of crop residue inputs (high and low). Earthworm growth was assessed in intact soil cores from both sites. In the field, earthworm populations and biomass were greater with long-term NT than CT and RT practices, but not affected by crop residue management. Laboratory growth rates of Aporrectodea turgida (Eisen) in intact soil cores were affected by tillage and residue inputs, and were positively correlated with the soil organic C pool, suggesting that tillage and residue management practices that increase the soil organic C pool provide more organic substrates for earthworm growth. The highest earthworm growth rates were in soils from RT plots with high residue input, which differed from the response of earthworm populations to tillage and residue management treatments in the field. Our results suggest that tillage-induced disturbance probably has a greater impact than food availability on earthworm populations in cool, humid agroecosystems.     

烫漂时间对香椿嫩芽颜色及挥发性风味成分的影响研究

为了研究香椿嫩芽烫漂过程中颜色热降解规律及挥发性风味成分的变化,分别采用分光光度法和光电反射光度法对香椿嫩芽叶绿素含量和色差进行测定,同时利用顶空固相微萃取及GC-MS联用技术对不同烫漂时间下香椿嫩芽的挥发性成分进行鉴定,并对各种处理后的风味物质进行主成分分析。结果表明,香椿嫩芽叶绿素降解和绿色损失均属于一级动力学反应,且叶绿素的减少与绿色损失相关性较好,呈极显著水平。烫漂后香椿嫩芽挥发性成分种类增多,含硫类等呈刺激性气味的化合物相对含量减少,烯类等呈柔和气味增加,提升了香椿的香味品质。综合颜色及挥发性成分随烫漂时间的变化规律,确定最佳烫漂时间为30s。主成分分析结果显示,第1、第2和第3主成分累积贡献率达98.742%,能够较好的代表原始数据所反应的信息。第1主成分包含噻吩类、烯类、醇类和醛类,贡献率大小为噻吩类烯类醇类醛类;第2主成分包含酮类和其它类,贡献率大小为酮类其它类;第3主成分为烃类。本研究结果为香椿嫩芽精深加工过程中颜色和风味的控制提供了理论依据。     

果实膨大剂对陕西省猕猴桃产业负效应的调查分析

使用膨大剂处理猕猴桃幼果,能使果实体积显著增大而增产.但同时造成果实外观畸变不雅、风味变酸、果肉绿色减褪、硬度下降易软化、抗病性降低易腐烂、果实不耐贮藏、削弱树势造成大小年、潜伏食品质量安全问题等负效应,滥用膨大剂已对陕西省猕猴桃产业带来灾难性后果.     

基于高光谱与集成学习的单粒玉米种子水分检测模型

为建立单粒玉米种子水分含量的高精度检测模型,制备了80份不同水分含量的玉米种子样本。针对玉米种胚朝上和种胚朝下分别进行高光谱反射图像采集,每份样本取样100粒,波长范围为968.05～2 575.05 nm。采用PCA快速提取单粒种子光谱,经多元散射校正预处理后,分别采用随机森林(RF)和AdaBoost算法建立单粒种子水分检测模型,并集成两种算法特征提出基于加权策略的改进RF用于单粒种子水分含量建模。利用单粒玉米种子胚朝上的光谱信息建立的改进RF模型训练集相关系数R为0.969,训练集均方根误差(RMSEC)为0.094%,测试集R为0.881,测试集均方根误差(RMSEP)为0.404%;利用单粒玉米种子胚朝下的光谱信息建立的改进RF模型训练集R为0.966,RMSEC为0.100%,测试集R为0.793,RMSEP为0.544%。实验结果表明：改进RF的泛化能力和预测精度明显优于RF和AdaBoost算法;种胚朝上的单粒玉米种子水分含量检测模型优于种胚朝下的模型。高光谱检测技术结合集成学习算法建立的玉米种子水分检测模型预测精度高,稳健性好。     

Combined use of optical and radar satellite data for the detection of tillage and irrigation operations: Case study in Central Morocco

The objective of this study is to present a new application of optical and radar remote sensing with high spatial (∼10 m) and temporal (a few days) resolutions for the detection of tillage and irrigation operations. The analysis was performed for irrigated wheat crops in the semi-arid Tensift/Marrakech plain (Central Morocco) using three FORMOSAT-2 images and two ASAR images acquired within one week at the beginning of the 2005/2006 agricultural season.The approach we developed uses simple mapping algorithms (band thresholding and decision tree) for the characterisation of soil surface states. The first images acquired by FORMOSAT and ASAR were processed to classify fields into three main categories: ploughed (in depth), prepared to be sown (harrowed), and not ploughed-not harrowed. This information was combined with a change detection analysis based on multitemporal images to identify harrowing and irrigation operations which occurred between two satellite observations.The performance of the algorithm was evaluated using data related to land use and agricultural practices collected on 124 fields. The analysis shows that drastic changes of surface states caused by ploughing or irrigation are detected without ambiguity (consistency index of 96%). This study provided evidence that optical and radar data contain complementary information for the detection of agricultural operations at the beginning of agricultural season. This information could be useful in regional decision support systems to refine crop calendars and to improve prediction of crop water needs over large areas.