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[学术文献] Wireless Underground Sensor Networks Path Loss Model for Precision Agriculture (WUSN-PLM) 进入全文

IEEE

Despite a large number of applications in the field of health care, military, ecology or agriculture, the Wireless Underground Sensor Network (WUSN) faces the problem of wireless Underground Communication (WUC) which largely attenuate the signal on the ground. For the case of precision agriculture, the motes are buried and they have to check the good growth of plants by verifying data like the water content. However, due to soil composition, the wave signal is attenuated as it travels across the ground. Thus, before a real deployment of WUSN, the prediction of the path loss due to signal attenuation underground is an important asset for the good network functioning. In this paper, we proposed a WUSN path loss for precision agriculture called WUSN-PLM. To achieve it, the proposed model is based on an accurate prediction of the Complex Dielectric Constant (CDC). WUSN-PLM allows evaluating the path loss according to the different types of communication (Underground-to-Underground, Underground to Aboveground and Aboveground to Underground). On each communication type, WUSN-PLM takes into account reflective and refractive wave attenuation according to the sensor node burial depth. To evaluate WUSN-PLM, intensive measurements on real sensor nodes with two different pairs of transceivers have been conducted on the botanic garden of the University Cheikh Anta Diop in Senegal. The results show that the proposed model outperforms the existing path loss models in different communication types. The results show that our proposed approach can be used on real cheap sensor with 87.13% precision and 85% balanced accuracy.

[相关成果] 高效多功能自动控制全喂入联合收获关键技术研究与产业化 进入全文

中国科技项目创新成果鉴定意见数据库检索

 1. 掌握多功能脱粒关键技术、秸秆资源循环利用关键技术、作业自动化控制技术及故障诊断预警技术、国内顶尖钣金加工制造工艺技术。 2. 项目执行期共授权发明专利4项,实用新型32项,申请中国专利15项,其中发明专利13项;授权实用新型2项;申请国际专利3项;发表论文1篇;参与起草或修订国家标准、行业标准4项;获各类奖项3项。 3. 本项目系列产品与国内其他同类产品相比,具有适应性强、作业质量好、制造工艺优、可靠性高、环保高效、美观漂亮等一系列特点,具有很强的市场竞争力。同时,本项目进入产业化推广阶段后可新增就业80~100人。 4. 本项目开发成功后,公司将继续加大新产品的开发力度,一方面对目前研制出的样机进一步进行优化、升级、完善,另一方面继续向更大喂入量(5.0系列)、产品智能化等方向发展,力争为我省农机行业制造业再创辉煌作出更大贡献。 5. 实际完成经济效益 1)预算新增销售收入1亿元,实际至2015年8月完成销售收入9758.54万元,增加-241.46万元; 2)预算完成净利润1000万元,实至2015年8月完成销售利润3236.27万元,净利润2014.62万元(按公司净利率测算),增加1014.62万元; 3)预算缴纳税款650万元,实际至2015年8月缴纳税款848.80万元(按销售占比乘缴税总额测算),增加198.8万元

[会议论文] Design, modelling and control of a novel agricultural robot with interlock drive system 进入全文

ResearchGate

A current problem in the design of small and lightweight autonomous agricultural robots is how to create sufficient traction on soil to pull an agricultural implement or load. One promising solution is offered by the interlock drive system, which penetrates spikes into the soil to create traction. The combination of soil penetrating spikes and a push-pull design offers new possibilities for vehicle control. By controlling the interlocking of the spikes and pushing and pulling them against the main frame, the vehicle can perform tight maneuvers. To validate this idea, we designed a robot, capable of creating high traction and performing headland turns. The navigation of the new robot system is performed by actively pushing the spikes, mounted on a slide into the soil, while the main frame is pushed back and pulled forward. The vehicle of 2-meter length was able to turn on the spot, and could follow a straight line, just using the spikes and the push-pull mechanism. The trajectory and the performed measurements suggest, that a vehicle which uses only spikes for traction and steering is fully capable of performing autonomous tasks in agriculture fields.

[标准] 农业生产资料供应服务 农资电子商务交易服务规范 进入全文

国家标准全文数据库

本标准规定了农资电子商务交易的基础保障要求以及交易服务要求。 本标准适用于农资电子商务交易服务。

[学术文献] 基于物联网(IOT)的规划预测算法在农业灌溉中的应用 进入全文

节水灌溉

为了节约以及最优化利用水资源,避免粗放型农业灌溉需求对资源的浪费。利用部署在农田里的传感器获取土壤湿温度、空气相对湿度、紫外线辐射强度等自然环境参数再结合来自互联网的天气预报数据,系统将传感器节点获取的实时数据以及互联网提供的天气预测信息输入SVR模型进行训练得到未来的土壤水分差预测值,结合k-means聚类算法得出精确的预测结果,最后利用Web服务和基于Web的信息可视化功能进行智能决策,搭建了基于物联网平台并结合规划预测算法的智能灌溉管理系统,并给出合理的灌溉建议。通过两周的预测结果可知,与HS算法方法比较,SVR+k-means聚类规划预测算法预测结果与实际测量结果的拟合程度更好、波动更小、精度更高。根据规划预测算法测试数据与传统算法比较表明了前者的精确性,并且通过仿真充分表明了规划预测算法的可靠性与优越性。可以看出规划预测算法对土壤水分的预测值更加接近实测值。通过规划预测算法得到的精确的土壤水分差的量化结果,可以实现对未来的农田的智能灌溉决策控制,达到节约水资源的目的。 

[学术文献] 利用介电参数和变量筛选建立玉米籽粒含水率无损检测模型 进入全文

农业工程学报

为了实现玉米含水率的快速无损检测,该文利用精密阻抗分析仪和自制介电参数测量传感器通过激励电压在1 kHz~5.462 MHz频率范围内测量了热风干燥过程中不同含水率与不同温度下玉米籽粒的介电常数?’和介电损耗?"。通过对双介电参数频谱的分析,对含水率回归模型建模频段进行了初步选择,以1.072~5.462MHz之间15个测量频点的双介电参数和温度值T共计31维变量作为支持向量回归机(support vector regression,SVR)模型的输入全变量,分别利用竞争性自适应重加权算法(competitive adaptive reweighted sampling,CARS)、迭代保留信息变量算法(iteratively retains informative variables,IRIV)和CARS-IRIV联合算法筛选特征变量,建立全变量、CARS、IRIV和CARS-IRIV筛选特征变量与玉米籽粒含水率的SVR模型。引入鲸鱼优化算法(whale optimization algorithm,WOA)优化SVR模型参数c(惩罚因子)和g(核函数参数),结果表明CARS-IRIV筛选特征变量(?’3.854MHz、?"3.854MHz、?’5.462MHz、?"5.462MHz、T)建立的SVR模型经WOA优化后(CARS-IRIV-WOA-SVR)具有最优的预测精度,预测集决定系数、预测集均方根误差和剩余预测偏差分别为0.998 4,0.40%和24.55,且模型复杂度最低。该研究为基于双介电参数和支持向量回归机实现玉米含水率快速无损检测提供了新的研究思路和基础数据。

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