Fuzzy-HLSTM (Hierarchical Long Short-Term Memory) for Agricultural Based Information Mining

This research proposes a machine learning approach using fuzzy logic to build an information retrieval system for the next crop rotation. In case-based reasoning systems, case representation is critical, and thus, researchers have thoroughly investigated textual, attribute-value pair, and ontological representations. As big databases result in slow case retrieval, this research suggests a fast case retrieval strategy based on an associated representation, so that, cases are interrelated in both either similar or dissimilar cases. As soon as a new case is recorded, it is compared to prior data to find a relative match. The proposed method is worked on the number of cases and retrieval accuracy between the related case representation and conventional approaches. Hierarchical Long Short-Term Memory (HLSTM) is used to evaluate the efficiency, similarity of the models, and fuzzy rules are applied to predict the environmental condition and soil quality during a particular time of the year. Based on the results, the proposed approaches allows for rapid case retrieval with high accuracy.     

Closed-loop drip irrigation control using a hybrid wireless sensor and actuator network

In this research, a closed-loop drip irrigation control hybrid wireless sensor and actuator network (HWSAN) prototype were developed and deployed in a crop field for soil property precise measurement and precision irrigation in accordance with the measured soil property. The HWSAN was composed of a wireless sensor and actuator network (WSAN) used for in-field soil property monitoring and irrigation control and a laboratory supervising system. The WSAN included ten sensor nodes, five irrigation control nodes...     

Optimization of quality and operational costs through improved scheduling of harvest operations

The agriculture sector still lacks the tools and models to enhance the utilization of different resources. This paper addresses the vineyard harvesting problem in developing countries, with the objective of optimizing the wine quality and minimizing the operational costs. Heuristics were introduced to better assign the harvesting days to the different grape blocks that exist in the vineyard's field. The quality of the grapes was a key target as it can transform production from a pinnacle wine to a bulk one. We solved several numerical examples for verification and demonstrative purposes and found that our proposed approach finds solutions that significantly reduce the harvesting costs in the vineyard and considerably outperform Branch and Bound algorithm especially for large problems.     

移动终端的设施农业物联网环境监控系统设计

通过使用物联网(IOT)传输协议—消息队列遥测传输(MQTT)协议,将前端硬件、服务器端及移动端连接在一起,完成对设施农业环境的远程实时监控.在系统中,前端硬件以STM32微处理器为核心,由传感器模块、设备控制模块、GPRS模块和电源模块组成,实现数据的采集和传输;服务器端有数据接收、存储、分析的能力,并担任MQTT消息协议中消息生产者和消息管理者的角色;移动终端软件则以Android操作系统为基础开发了应用软件,用户在装有Android系统的移动终端上安装该应用软件,即可查看实时环境情况,发送控制设备指令等.经过测试,整个系统运行稳定、使用简单、实时性高,用户能有效地对设施农业环境进行远程实时监控.     

云计算农田会商平台规划和设计

面向西北旱区农业,基于云计算、大数据和物联网技术的集成应用会商平台,利用卫星、无人机和地面传感网等多遥感平台,对耕地平整、水肥药精准作业装备进行作业调度,形成精准作业调度、遥感的空间决策支持、多源农情信息视频会商、以及农情遥感信息适时发布系统于一体的综合性、业务化的会商服务平台.该平台提供专家会商、水肥管理、病害诊断防治、旱情预测预报和农业遥感信息适时发布等服务.     

基于ETLB-DEEC的精细农业无线传感器网络研究

无线传感器网络技术应用于精细农业信息获取与管理已成为一种趋势和必然,针对WSN在大规模农田种植监测领域中所面临的监测面积大、监测时间长、低功耗要求、地势复杂以及作物多样等问题,深入研究基于DEEC的等边三角形节点部署的负载均衡成簇协议ETLB-DEEC(Equilateral Triangle Load Balancing-DEEC),采用等边三角形网格节点部署方式与网络分区,提出"孤儿节点"和"收容节点"的概念.在此基础上,设计一种面向基站最短路径簇间多跳寻优机制,可找寻多条最短路径协议.仿真结果表明,改进的协议具备高效节省传感器节点数、实现全局网络负载均衡,提高网络能量利用率,延长WSN整体生命周期等功能和特点.     

智慧农业控制系统的服务软件设计

基于Android技术、计算机网络技术设计了智慧农业控制系统手机APP客户端、上位机软件,搭建了服务器.上位机作为服务器和硬件控制系统中介,实时接收硬件系统的农作物环境信息,并通过服务器保存.APP客户端实时获取服务器信息,直观形象呈现给用户,且可以设置参数报警阀值,及时提醒用户,用户可选择智能模式或者手动模式远程调节农作物生长环境因素.     

Forest biomass mapping from lidar and radar synergies

The use of lidar and radar instruments to measure forest structure attributes such as height and biomass at global scales is being considered for a future Earth Observation satellite mission, DESDynI (Deformation, Ecosystem Structure, and Dynamics of Ice). Large footprint lidar makes a direct measurement of the heights of scatterers in the illuminated footprint and can yield accurate information about the vertical profile of the canopy within lidar footprint samples. Synthetic Aperture Radar (SAR) is known to sense the canopy volume, especially at longer wavelengths and provides image data. Methods for biomass mapping by a combination of lidar sampling and radar mapping need to be developed.In this study, several issues in this respect were investigated using aircraft borne lidar and SAR data in Howland, Maine, USA. The stepwise regression selected the height indices rh50 and rh75 of the Laser Vegetation Imaging Sensor (LVIS) data for predicting field measured biomass with a R² of 0.71 and RMSE of 31.33 Mg/ha. The above-ground biomass map generated from this regression model was considered to represent the true biomass of the area and was used as a reference map since no better biomass map exists for the area. Random samples were taken from the biomass map and the correlation between the sampled biomass and co-located SAR signature was studied. The best models were used to extend the biomass from lidar samples into all forested areas in the study area, which mimics a procedure that could be used for the future DESDYnI mission. It was found that depending on the data types used (quad-pol or dual-pol) the SAR data can predict the lidar biomass samples with R² of 0.63-0.71, RMSE of 32.0-28.2 Mg/ha up to biomass levels of 200-250 Mg/ha. The mean biomass of the study area calculated from the biomass maps generated by lidar-SAR synergy was within 10% of the reference biomass map derived from LVIS data. The results from this study are preliminary, but do show the potential of the combined use of lidar samples and radar imagery for forest biomass mapping. Various issues regarding lidar/radar data synergies for biomass mapping are discussed in the paper.     

农业电子商务发展的现状与对策研究

该文在介绍国外农业电子商务发展的背案下,对我国农业电子商务发展的现状作了实例的分析和对策研究。     

秸秆还田对农田生态系统及作物生长的影响

秸秆还用是利用秸秆的一种有效方式．大量试验表明,秸秆还田会对土壤产生多种作用：能改善土壤物理性状,降低土壤容重,增加孔隙度;能增加土壤微生物数量,增强生物和多数酶的活性;增加土壤有机质积累和养分含量;能改变土壤腐殖质组成及特性;影响作物生长发育,促进作物产量提高．其中,秸秆覆盖还田还具有蓄水保墒,调节地温和保持水土,抑制田间杂草等功能．总之,秸秆还田对农田具有良好的生态效应。