棉田土壤养分分析与土壤墒情监测系统应用

【目的】研究土壤养分的空间变异程度及分布规律,为该区域科学施肥提供依据。【方法】以新疆生产建设兵团第八师石河子总场六分场数字农业示范田为研究区域,应用土壤墒情监测系统、GIS与地统计学的方法,对棉田土壤含水量与温度进行实时采集、分析并存储在服务器里面,分析石河子总场土壤含水量和温度变化规律、棉田土壤养分空间分布特点及变异规律。【结果】(1)根据监测数据分析,随着灌水量增加和棉花生育期推进,上层0~30 cm比下层40~60 cm的土壤含水量变化趋势明显。0~20 cm土层土壤补偿水比较充分,各个监测点土壤含水量基本维持在比较适宜的范围内。土壤各层温度受大气温度影响并随着土层深度的加深而减弱,随着土层深度的逐渐加深滞后时间相对延长;受棉株逐渐长高变大以后遮阴等造成的影响,7月以后各土层温度逐渐持平,波动不大。(2)土壤全氮、速效磷和速效钾均呈现出中等程度变异;(3)土壤速效钾的块金值在25%~75%(块金值为0.497)表现为中等空间自相关性外,土壤全氮、速效磷指标的块金系数小于25%表现为强烈的空间自相关性。【结论】应用土壤墒情实时监测系统指导棉田灌溉,较往年没有任何减产减质的情况下,棉花灌溉在全生育期内比以往灌溉次数下降了1~3次,节约水资源约20%左右。研究区域内土壤全氮、速效磷和速效钾变异呈现中等程度变异特征,全氮、速效磷表现为极强空间自相关性,速效钾表现为中等强度的空间相关性。     

毛竹销（钉）的高速旋转摩擦焊接性能研究

选取毛竹销钉替代木榫在1 500 r/min的情况下与榉木基材进行旋转摩擦焊接，对其抗拉强度和焊接机理进行研究。重点研究不同形状的预钻孔和不同榫径与孔径比值下的竹销钉焊接抗拉拔强度，并将其与木榫焊接和PVAc胶接的抗拉强度进行对比。结果表明:1）当采用恒定直径孔10/9、10/8、10/7、10/6 4种榫径/孔径比的焊接强度均高于PVAc胶接强度，但低于木荷榫和榉木榫的焊接强度，其中10/8的榫径/孔径比的焊接强度相对最高，达到了5.54 MPa；2）当采用渐变直径孔，竹销钉的焊接强度得到明显提高。其中10/8-6的榫径/渐变孔径比值取得了最高的焊接强度，达到6.42 MPa，比10/8比值的强度提高了15.6%，超过了木荷榫的焊接强度，但不及榉木榫的焊接强度；通过对竹销钉的焊接界面温度进行监测，发现焊接界面能在2 s内达到300℃以上的峰值高温，且维持了一定的高温时间（通常约2～3 s），随后随着竹销停止旋转摩擦，温度逐步下降；不同的榫径与孔径比值下，焊接界面的升温速率、峰值温度和高温持续的时间不同，它们是产生强度差异的主要原因；SEM观察结果显示，竹销旋转摩擦焊接界面由竹销或基材中的胞间层物质软化、熔化和流动并与作为增强材料的竹纤维包裹，形成了犹如“钢筋水泥土”结构般的致密、连续和坚固的焊接界面；FTIR分析结果表明，摩擦产生的高温会导致竹销中半纤维素发生一定程度的降解，纤维素的降级十分有限，木质素发生一定程度的缩合反应，木质素的含量相对提高。试验结果表明，将竹销钉代替木榫用于木材的旋转摩擦焊接是可行的。     

茶树植保机械及减量施药技术研究进展

农药防治是茶树病虫害综合防治的重要组成部分,其在病虫害突发或爆发时具有快速高效的防治优势。茶树叶片表面具有亲水性,常量施药会造成茶叶农残超标、生态环境破坏等问题,实现茶树减量施药是减少茶叶农残的有效手段。系统综述了茶树生物特性、茶树病虫害预测诊断及防治方法、茶树植保机械及施药技术,强调提高茶树低容量喷雾的农药有效利用率是实现茶树减量施药的关键。针对目前茶园地面工况复杂及农药利用率低的问题,本文从低容量仿形喷雾机、茶树病虫害喷雾决策及智能终端等六个方面提出茶树病虫害施药技术及装备的研究建议,指出低量化、精准化及智能化是未来茶树植保喷雾机械及施药技术的发展方向。     

智慧物流在饲料企业管理中的应用研究

饲料行业的竞争日益激烈,其需要学会使用现代科技提升竞争力,智慧物流就是这些技术之一。智慧物流可以提升饲料企业对原材料和产品在物流过程中的管控。本文试图探索智慧物流如何提升饲料企业的管理。通过智慧物流,饲料企业可以改进生产管理的流程和模式,加强采购管理中的风险管理,追踪产品售后的流向和信息,提升企业的产品质量,保证企业财务数据的真实性和可靠性。     

广西某食蟹猴规模化养殖场饮用水和青饲料卫生质量监测

为了对广西某规模化食蟹猴养殖场饮用水和青饲料卫生质量情况进行监测,对饮用水和青饲料进行连续抽样监测,按照《生活饮用水卫生标准》《生活饮用水卫生标准检验方法》和《国家禁用和限用的农药名单》进行检测与评价。结果显示:抽取6份饮用水样检测26项理化指标,有3份不合格,超标率达50.0%,超标指标有浑浊度、肉眼可见物;抽取147份饮用水检测微生物指标,有22份超标,超标率达15.0%,超标微生物指标为细菌总数、总大肠菌群、耐热大肠菌群和大肠埃希氏菌;抽取13个品种青饲料48份检测10种禁用农药残留情况,甲胺磷、敌敌畏、乐果、氧化乐果、氰戊菊脂、多菌灵、啶虫脒、吡虫啉、三唑磷、毒死蜱检出率分别为2.1%、0、0、0、0、12.5%、2.1%、12.5%、2.1%、2.1%。说明该规模化食蟹猴养殖场饮用水存在不合格情况,青饲料检出农药残留。     

An acoustic based approach to evaluate the effect of different diet lengths on feeding behavior of Litopenaeus vannamei

Studying shrimp feeding behavior is challenging and, traditionally, studies have been using direct visual observation or video recordings with image analysis under laboratory conditions. Passive acoustics monitoring (PAM) is a non-invasive approach to study feeding behavior of penaeids, as their mandibles emit clicking sounds during feed ingestion. Considering the wide variation available in shrimp diet lengths, our knowledge is still limited about their effects on feeding behavior. The present study was designed to use acoustics to evaluate the feeding behavior of Litopenaeus vannamei fed different diet lengths. A commercial pelleted diet with similar diameter (2.4 mm) and three different lengths was used as treatments “small” (2.35 mm), “medium” (4.26 mm) and “large” (8.42 mm). Three separate trials were performed with fastened shrimp (20 g), using omnidirectional hydrophones and external audio recorders. Our approach started with the characterization of the click acoustic parameters produced by three shrimps when fed the different diet lengths in anechoic chambers (15 L). We then analyze the number of clicks produced per pellet and duration of the clicking activity when shrimp fed a single pellet in individual tanks (1 L). Finally, the acoustic energy of feeding activity and feed consumption, as well as theirs relationship to predict feed intake was evaluated in aquaria (70 L) with five shrimps. The acoustic parameters of isolated clicks were not affected by the different diet lengths, however, doubling the length of the pellet resulted in doubling the number of clicks emitted during feeding activity. The duration of clicking activity per pellet indicated that small pellets are consumed 2.9 and 4.7 times faster than medium and large pellets, respectively. Furthermore, feeding acoustic energy of small pellets decreased rapidly after feed offer, as their faster consumption probably contributed to shrimps achieved satiety earlier than larger diets. Feed consumption was similar among diets length, but significantly correlated with the feeding acoustic energy emitted by L. vannamei, which is a breakthrough in feeding behavioral research. The results highlight the potential and possibilities of an acoustic approach to estimate feed consumption, as well as an alternative to traditional methods in feeding behavioral studies to improve efficiency of feed management.     

机器学习及其在农业中应用研究的展望

机器学习是一种面向机器的数据分析方法,自动化机器学习的研究促进了人工智能的发展。大数据的快速积累,促进了机器学习算法的井喷式发展。如何选择合适的机器学习算法解决行业问题,成为了当前应用的难点。笔者整理了机器学习新材料,对各种机器算法的特点和算法之间的差异,进行了仔细的梳理,总结了各种算法的需求背景和优缺点,以及主要的应用场合。在此基础上,分析了机器学习在农业应用的案例,综述了机器学习在农业应用,指出了目前存在的发展瓶颈,并提出了进一步研究应用的建议。     

基于云服务的棚室蔬菜智能终端系统设计与实现——以黑龙江省为研究案例

棚室蔬菜产业在黑龙江省农业转方式、调结构和供给侧改革中占有重要的战略地位。黑龙江省棚室蔬菜生产规模近年来发展较快,技术支撑需求也与日俱增。本研究针对黑龙江省棚室蔬菜发展规模与技术服务支撑能力不匹配的现状,提出了基于云服务的棚室蔬菜智能终端系统及关键技术的实现方法。本研究以专家服务为主、数据挖掘技术为辅,以物联网设备为感知手段、以智能手机为用户终端,利用云服务对知识、资源、物联网数据的整合配置能力,提供蔬菜专家及棚室蔬菜用户对信息获取、存储、分析和决策的高效解决方案。本研究的部分内容已在黑龙江省农业科研部门、企业、蔬菜合作社、农户等不同用户群体中实验应用,能够为专家提供棚室蔬菜生产环境的远程问诊手段,适用于各类棚室蔬菜应用场景。本研究还提出了对大规模应用场景下的技术解决方案建议,可在全国的棚室蔬菜生产中推广应用,实现更广泛高效的专家技术服务支撑。     

基于多反应监测质谱技术的水稻叶片蛋白绝对定量方法

【目的】建立水稻叶片蛋白的多反应监测(MRM)质谱绝对定量方法。【方法】水稻叶片蛋白经含1.0%十二烷基硫酸钠(SDS)的磷酸盐(PBS)缓冲液提取,丙酮沉淀除杂纯化、胰蛋白酶消化,酶解液经液相色谱分离,MRM质谱监测,外标法定量。【结果】向提取缓冲液中加入1.0%SDS可增强水稻叶片中16种靶蛋白和总蛋白质的提取效果;不同有机试剂处理,总蛋白质沉淀量存在显著差异(P<0.05),沉淀能力从强到弱依次为乙腈>丙酮>异丙醇>甲醇>乙醇;对于16种目标蛋白,总体以丙酮沉淀效果最好,其次是异丙醇和乙腈,甲醇和乙醇效果较差。该方法线性范围均达到3个数量级,定量限为0.1~2.5 nmol/L,灌浆期16种水稻叶片蛋白质含量为6.0~2818.1μg/g,相对标准偏差均小于14%。【结论】SDS可显著提高水稻叶片蛋白提取效果,采用丙酮或乙腈可获得较好的蛋白沉淀效果,但不同蛋白质略有差异。结合MRM质谱监测技术可实现水稻叶片蛋白的绝对定量,方法线性范围宽、敏度高、重复性好。     

System for quasi‐continuous simultaneous measurement of oxygen diffusion rate and redox potential in soil

Oxygen diffusion rate (ODR) and redox potential (E_H) are quantitative indices representing oxygen availability and redox status in soils, which is valuable information for better understanding causes and effects of soil aeration. Because these indices are spatially and temporally highly variable, continuous measurements and adequate numbers of repetitions are essential for accurate in situ monitoring. Here, we present a new, fully automated recording system for in situ measurements where ODR and E_H are measured at the same platinum electrode. The conflict between electrode polarization for ODR and the resulting biased E_H readings is solved by reducing the polarization time and introducing a recovery interval between two consecutive measurement cycles. The shorter polarization time ensures accurate E_H readings. It also results in moderately overestimated ODR readings, but this can be corrected before data analysis. The recovery interval restricts temporal resolution of the E_H‐ODR data pairs to 8 h. We illustrate the use of the system with measurements in a field experiment in Zürich, Switzerland. ODR curves at different depths ran roughly parallel to the corresponding curves of O₂ concentration in soil air but ODR was much more sensitive to precipitation. Low ODR was a necessary but not a sufficient condition for declining E_H. E_H ran parallel to O₂ concentration in soil air rather than to ODR. The fully automated system allows for time series of replicate measurements in multifactorial field studies with reasonable labor requirements. It may be particularly suitable for studies examining the effects of soil tillage, compaction, and irrigation, where structure‐related soil properties such as porosity, gas permeability, and soil aeration play a dominant role.