[学术文献] Applications of electrochemical sensors and biosensors based on modified screen-printed electrodes: a review 进入全文
The focus of this report is electroanalysis performed via screen-printed electrodes. All the basic characteristics required in this field are taken into account, including the fundamental assessments of screen-printed materials used as electrodes, the use of testing electrode prototypes in the laboratory, fundamental and progressive studies on different electrode fabrication procedures, and their practical uses in quantifying biological species, pharmaceutical compositions, environmental contaminants and heavy metals. The last case is presented as a set of comprehensive tables that show an overall summary of the published approaches. Lastly, current trends and significant achievements are delineated along with future options.
[学术文献] Comparison of three measurement models of soil nitrate-nitrogen based on ion-selective electrodes 进入全文
INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING
Ion-selective electrode (ISE) is a quick and low-cost method of soil nitrate nitrogen (N) detection. The measurement models of soil nitrate-N based on ISEs includes the linear regression model, multiple linear regression model and BP neural network model, and so on. Three models were analyzed in theory, measurement experiments of validation samples and soil nitrate-N concentrations were carried out in this study, and the measurement accuracies of the three models were compared. The results showed that, in the measurement experiments of validation samples and soil nitrate-N concentrations, BP neural network model had the highest accuracy (the average relative errors between results of the BP neural network model and the reference values were 5.07% and 8.81%, respectively) among the three models, multiple linear regression model had the second highest accuracy (the average relative errors between results of the multiple linear regression model and the reference values were 7.70% and 10.51%, respectively), linear regression model couldn't exclude the interference of chloride ions so that it had the lowest accuracy (the average relative errors between results of the linear regression model and the reference values were 11.16% and 12.28%, respectively) among the three models. The BP neural network model can effectively restrain the interference of chloride ions, and it has a high accuracy for the measurement of soil nitrate-N concentration, so that the BP neural network model can be used to measure soil nitrate-N concentration accurately.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
Aimed to design safety systems and evaluate the behaviours about Robot grass cutting named TOMI, the false tree analysis, failure mode effects tree analysis methods were used for review and analysis about the TOMI robot, it would be liability and legislation; TOMI robot management embedded guidelines and knowledge such as Agricultural Engineering, Design and manufacture of agricultural machinery, Mechanic Theory, Mathematics, Electronics, Grass science, Computer science and several software programs; Procedure and Reliability analysis for robots TOMI safety systems are key features,the safety systems of Agricultural Robot such as TOMI should be checked in various working circumstance; With the full consideration of engineering practicability, the solutions to the safety problems of the TOMI robot are promoted, Technology Route and models about TOMI's safety system were built, Process Management, continual improvement tools and Techniques and effects analysis were built in the new safety systems of TOMI robot. TOMI function measurements such as braking, throttle and pedal force were tested and analysed. TOMI's Mechanical system, Hydraulics and Electrical Systems were tested for checking safety and evaluated, some sensors and laser such as Distance sensors, SICK, GPS, Dead man handle, safety red button and bumpers were built up and developed the TOMI robot's new safety systems; To ensure the safety and reliable operation is a system engineering, it is involved to various TOMI robot design, production, operation, adjust, and management; to improve the TOMI robot reliability and reduce the failure frequency was an important way to improve the robot inherent safety; The Evaluation Criteria of Robot grass Cutting DFMEA occurrence may be suggested to use multiple complex technology knowledge and design with more experience. Application built with Microsoft Robot Development studio was run over on the www.webfarming.com. The hazard and risk analysis were detailed about the safety problems of TOMI robot and deeply studied. Development more practical and safety TOMI robot would be carried out at northwest China in the future.
This study reviewed research published after 1990 on the economics of agricultural mechatronic automation and robotics, and identified research gaps. A systematic search was conducted from the following databases: ScienceDirect, Business Source Complete, Wiley, Emerald, CAB , Greenfile, Food Science Source and AgEcon Search. This identified 4817 documents. The screening of abstracts narrowed the range to a dataset of 119 full text documents. After eligibility assessment, 18 studies were subjected to a qualitative analysis, with ten focused on automation of specific horticultural operations and eight related to autonomous agricultural equipment. All of the studies found some scenarios in which automation and robotic technologies were profitable. Most studies employed partial budgeting considering only costs and revenues directly changed by the introduction of automation or robotics and assuming everything else constant. None examined cropping system changes, or regional and national impacts on markets, trade and labour demand. The review identified a need for in-depth research on the economic implications of the technology. Most of the studies reviewed estimated economic implications assuming that technology design parameters were achieved and/or based on data from prototypes. Data are needed on the benefits and problems with using automation and robotics on farm. All of the studies reviewed were in the context of agriculture in developed countries, but many of the world's most pressing agricultural problems are in the developing world. Economic and social research is needed to understand those developing country problems, and guide the engineers and scientists creating automation and robotic solutions.
The Hydro-Rain B-hyve controller allows farmers to remotely control and monitor center pivot irrigation systems. Hydro-Rain launched the B-hyve (Ag)riculture Smart Center Pivot Controller (CPC) that allows farmers to remotely control and monitor center pivot irrigation systems. B-hyve compatible with most major pivot manufacturers Powered by B-hyve Smart Wi-Fi Connected Technology, B-hyve Ag CPC enables farmers to monitor and control center pivots via phone, computer or tablet, and get real-time status updates. B-hyve Ag CPC is compatible with control panels from most major pivot manufacturers and helps to maximise resources, such as fertiliser inputs, while saving money on water and pumping electrical costs, says Hydro-Rain. During significant weather events such as rainstorms or sudden cold fronts, farmers can remotely turn off pivots to help protect crops against overwatering or freezing. Control remote pumps B-hyve Ag CPC can also control remote pumps, allowing for monitoring and control of pumps even if they are not located near pivots. In addition, the system can detect pivot malfunctions such as out-of-line towers and safety errors, then alert farmers as soon as those issues happen, and provides control of up to three End Guns. B-hyve Ag CPC’s variable rate irrigation feature makes it extremely fast and easy to remotely implement precision watering schedules. “This is a significant leap forward in bringing more control into farmers’ hands,” said Stuart Eyring, chief executive officer at Hydro-Rain. “B-hyve Ag CPC eliminates the need to go or send someone to the fields to manually turn off or adjust pivot irrigation. Not only does this help farmers use their irrigation smarter, but it helps them respond faster to changes in weather, ultimately saving them time and money. A task that used to take hours to perform can now be accomplished in minutes.” B-hyve Ag also features: Simple installation: The wires on the box are color-coded to match those on a pivot, and are labeled. Farmers can still control pivots from the original pivot panel, as well. Intuitive, app-controlled on-boarding keeps total installation time under two hours, according to Hydro-Rain. Map features: When a farmer needs to set up a stop on a pivot, B-hyve technology shows a map view of that pivot to easily mark the stop. The feature also works for VRI and End Gun mapping. Tower Alignment: The tower alignment feature not only alerts the farmer of an alignment issue, it also indicates which tower is out, making it easier to troubleshoot. History records: B-hyve technology logs each event that happens at a pivot, keeping a list of stops, restarts and changes to settings at a farmer’s fingertips. B-hyve Ag CPC is available through a network of authorized B-hyve Ag professional dealers.
[科技报告] World Intellectual Property Report 2019 – The Geography of Innovation: Local Hotspots, Global Networks 进入全文
创新到底发生在哪里?《2019年世界知识产权报告》以数百万份专利和科学出版物记录为依据，记录了过去几十年创新地理分布的演变情况。主要章节包括：第一章. 不断变化的全球创新格局；第二章. 全球创新热点网络；第三章. 汽车和科技公司——无人驾驶汽车的驱动；第四章. 植物生物技术–将城市创新与农村应用联系起来；第五章. 政策观点:开放的理由。