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[相关专利] 一种果实长度无线传感网络监测装备 进入全文

知网专利数据库

1.一种果实长度无线传感网络监测装备,其特征在于,果实长度传感器,主要由高精度电位器(1)、收线盒(2)、固定架(3)、支撑杆(4)和夹子(5)构成,其中:所述高精度电位器(1)置于固定架(3)外侧;所述收线盒(2)由旋转轮(21)、卷型发条(22)、封盒(23)和非弹性线(24)构成;所述支撑杆(4)是有两节塑料杆组合而成;所述夹子(5)用来夹住植株茎秆;所述果实长度传感器通过夹子(5)和支撑杆(4)安装在果实顶端,非弹性线(24)端挂于果实的尾部,果实生长过程不受影响;果实长度传感器与采集节点上的A/D通道引脚相接,将果实长度变化信息转化为可测的电压信息,并对传感器建立模型,在温室中对模型得到验证,精度为±0.3cm;所述采集节点微处理器选用32位的ARM3,采集果实长度信息,通过采集节点上的LORA数传模块将数据传送至网关,经4G网络发送到云平台,最后在远程服务器端显示和存储。

[学术文献] 农业装备智能控制技术研究现状与发展趋势分析 进入全文

农业机械学报

智能控制是农业装备实现智能化的关键核心技术。从农业装备智能感知、智能控制、智能决策、自主作业、智能管控五方面阐述分析了国内外智能农机的发展现状,着重阐述了约翰迪尔、凯斯、科乐收、爱科等国际农机企业在农机智能控制方面的最新技术进展,分析了我国智能农机与国外的差距,指出了制约我国农机智能控制发展的关键问题。为实现我国从农机制造大国向农机制造强国的转变,融合大数据、云计算、物联网、人工智能等信息领域的前沿技术,提出了"智能在端、智慧在云、管控在屏"的智能农机系统发展新思路,指明现场控制智能化、云端决策智慧化、监控调度移动终端化是未来智能农机的发展方向。 

[学术文献] Variable sampling interval for energy-efficient heterogeneous precision agriculture using Wireless Sensor Networks 进入全文

Journal of King Saud University - Computer and Information Sciences

This study aims to examine the problem of sampling interval selection for the precision agriculture using Wireless Sensor Networks (WSNs). The Wireless Sensor Networks is introduced for limited energy sensor nodes and deployed in an agricultural farm, which is divided into a number of heterogeneous agricultural areas. A Variable Sampling Interval Precision Agriculture (VSI-PA) system is proposed to measure and monitor the agricultural parameters for appropriate agricultural activities e.g. water irrigation. At every time step, the sensor nodes are selected for each area to sense the soil moisture and temperature. After that, a variable sampling interval is calculated independently for each individual area, according to the soil temperature of the area. Analysis of simulation results show that, compared with other fixed sampling interval schemes, the proposed VSI-PA system provides a significant improvement in energy consumption while maintaining a small variation of the soil moisture regardless of the values of soil temperature. Therefore, the crop yields have been enhanced.

[学术文献] Electronic agriculture, blockchain and digital agricultural democratization: Origin, theory and application 进入全文

Journal of Cleaner Production

Agriculture is a key component of prosperous continuation of human civilization, meeting the basic needs of daily life. Democratization is an inevitable change in the development of political systems. Democratization as a general-purpose technological concept has given birth to a series of individual democratizations such as industrial democratization and financial democratization. Agricultural democratization is generally considered to bring freedom of information, improve agricultural production efficiency and, ultimately, form an open society, though this aspect of democratization is less studied than others.With the progress of science and technology, the practical application of information communication technology and blockchain technology in agriculture gives deeper digital significance to agricultural democratization, thus, further deriving the concept of “digital agricultural democratization”. This paper analyzes summarizes existing concepts, and analyzes the connotations and logical relationships between institutional concepts and technical concepts, such as agricultural democratization, agricultural autocratization, centralization, decentralization, information and communication technology, and blockchain, and proves that democratization and blockchain are general-purpose technologies which have “pervasiveness”. To realize the coupled nature of technical logic and institutional logic, we here define the concept of “digital agricultural democratization” which contains three important characteristics. To demonstrate this, we took the Beijing Liuminying Ecological Farm as a case study and proposed a “blockchain-based electronic agriculture” framework for its development and challenges. This framework incorporates the entire circular agricultural model of the ecological farm into the blockchain. The blockchain network automatically collects and uploads data through various types of smart devices, which expands the information set that can be used for sharing. This can solve problems such as asymmetric information, unreliable third-party institutions, and poor traceability of organic food. The innovation of the farm’s agricultural model provides a powerful example of a novel concept, and illustrates a reliable path for achieving “digital agricultural democratization”.

[前沿资讯] 安徽凤阳县 新型农业种养模式促进增产增收 进入全文

农民日报

近年来,安徽凤阳县大力推广新型农业种养模式,加快发展农业特色产业,并坚持“稳粮增效、生态优先、质量安全、因地制宜”的原则,以农民增收为核心,不断推广农业新技术的应用。今年,凤阳县红心镇乌罗村的永好家庭农场把秧苗换成了“钵毯苗”,成熟期提前了5天以上,产量也提高了10%左右。永好家庭农场早在2017年就实行“稻虾共作”的种养模式,种植的水稻基本上不打农药,产出的稻米自然也比传统稻米卖价更高。为了更好地推广新型种养技术,助推粮食增产,凤阳县还专门对县内的种植大户进行现场观摩培训,并首次展示了无人驾驶插秧机。无人驾驶插秧机只需一人辅助操作就能完成全部插秧工作,可以有效解决当下农村地区劳动力不足的问题。凤阳县大力推广“稻虾共作”种养模式。每年可产出小龙虾350万斤,全部销往上海和江苏南京等大城市。仅小龙虾这一项,就可以带来3500多万元的经济效益。

[学术文献] Intelligent algorithms for cold chain logistics distribution optimization based on big data cloud computing analysis 进入全文

Springer

In recent years, the rapid development of fresh food e-commerce in China has brought about more development opportunities for the cold chain logistics industry but has also presented new challenges. With the development of cloud computing and big data technology, it is increasingly important to study the application of big data and cloud computing technology in cold chain logistics. The purpose of this paper is to study the intelligent algorithm of cold chain logistics distribution optimization based on big data cloud computing analysis. Based on the constituent elements of the cold chain distribution problem and using cloud computing technology to obtain real-time traffic information in the transportation system through a unified access interface, this article analyses the distribution time and cost of refrigerated vehicles, thereby establishing a cold chain distribution vehicle path optimization model. By analysing the parallel programming mode of cloud computing, the parallel design and analysis of a coarse-grained genetic algorithm are used to solve the simulation model of the established optimization model. The experimental results show that the method of optimizing cold chain logistics vehicle routing using cloud computing is effective. When comparing 1, 2, 4, and 8 processors, the execution times are 19.89, 14.52, 8.12, and 6.41, respectively. It can be seen that the more processors there are, the shorter the calculation time.

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