A Meteorological Data Service System and its Application

2011 ◽  
Vol 304 ◽  
pp. 310-315 ◽  
Author(s):  
Xin Wen Yu ◽  
Yan Chen Yang ◽  
Xu Zhang
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Service System ◽  
Meteorological Data ◽  
Data Retrieval ◽  
Weather Data ◽  
Data Service ◽  
Agricultural Practice ◽  
Data Source

Meteorological conditions play an important role in agricultural practice and agricultural DSS usually takes weather data as a critical data source. A meteorological data service system was designed and implemented to provide better performance for Chinese users. Based on the service system, a web application providing online weather data retrieval and downloading was also developed. The service system was practically used in a decision support system for eucalypt management, and proved to be very feasible as an online weather data source for agricultural decision support system. Base on this service system, it is expected that agricultural researchers and decision support systems can easily obtain weather data and further improve their agricultural decision making process.

An Integrated Decision Support System for Intercropping

2010 ◽  
Vol 2 (3) ◽  
pp. 51-66 ◽  
Author(s):  
A. S. Sodiya ◽  
A. T. Akinwale ◽  
K. A. Okeleye ◽  
J. A. Emmanuel
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Large Scale ◽  
Weather Condition ◽  
Agricultural Practice ◽  
Pests And Diseases ◽  
General Decline ◽  
Fertility Protection

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack of required intercropping expertise. Consequently, this has resulted in inadequate reward for farmers and a general decline in crop production. In this regard, the authors present an Intelligent and Integrated Intercropping Decision Support System for Intercropping (IDSS-I) for improved crop production. The design adopts a forecasting component that provides farmers with the estimated yield and income depending on the size of land, soil type and weather condition. Although the implementation was carried out using JAVA and SQL, usability testing revealed 85% acceptance of the tool among the contacted 10 large scale farmers. It was also confirmed that the system provided 95% diagnosis information for 90% common Africa crop diseases.

The Warning Decision Support System–Integrated Information

2007 ◽  
Vol 22 (3) ◽  
pp. 596-612 ◽  
Author(s):  
Valliappa Lakshmanan ◽  
Travis Smith ◽  
Gregory Stumpf ◽  
Kurt Hondl
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Severe Weather ◽  
Weather Data ◽  
Spatial Coverage ◽  
Analysis System ◽  
Automated Algorithms ◽  
The Individual ◽  
Integrated Information

Abstract The Warning Decision Support System–Integrated Information (WDSS-II) is the second generation of a system of tools for the analysis, diagnosis, and visualization of remotely sensed weather data. WDSS-II provides a number of automated algorithms that operate on data from multiple radars to provide information with a greater temporal resolution and better spatial coverage than their currently operational counterparts. The individual automated algorithms that have been developed using the WDSS-II infrastructure together yield a forecasting and analysis system providing real-time products useful in severe weather nowcasting. The purposes of the individual algorithms and their relationships to each other are described, as is the method of dissemination of the created products.

Operational Margin From Weather and Motion Database for Heavy Transport Vessels

2011 ◽  
Author(s):  
Jan B. de Jonge ◽  
Onno A. J. Peters
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ship Motion ◽  
Environmental Data ◽  
Weather Data ◽  
Background Information ◽  
Motion Data ◽  
Design Values ◽  
Wave Heights

While shipping large and heavy cargo like jack-up rigs or semi-submersibles, the Motion Monitoring and Captain Decision Support system is a valuable tool to ensure a safe and economical voyage. Using the dynamic characteristics of the vessel, in combination with 5-day weather forecasts and design limits like maximum accelerations at the cargo location, roll motion and/or leg bending moments, more and better information is available to the Master to choose safe route, heading and speed. This way the best knowledge of what to expect is contributing to the safety of cargo, vessel and crew. The Octopus onboard system gathers a large amount of information about ship position, speed, heading, nowcast weather data and corresponding ship motion data. Reference is made to the paper of Peters [2] for background information of the Octopus Motion Monitoring and Decision Support system and an overview of methods used by the motion measurement system. In May 2008 the first Dockwise vessel started to gather weather and ship motion data. It is estimated that each vessel gathers around 50.000 nautical miles of data in a year, which is all collected in a database. The paper presents how this information is used for general research to environmental data, ship motion data and comparison to design values. Scatter diagrams from nowcast weather data can be produced. After collecting a certain amount of measurements, so called Dockwise scatter diagrams could be used as input for future voyage calculations. With this engineering approach Masters decisions for weather routing and bad weather avoidance is taken into account. This could lead for example to reduced design wave for a passage around the Cape of Good Hope. Now casted weather data and ship motions data is compared to design values from the cargo securing manual. Statistics like maximum difference, average difference give extensive data and insight in the operational margin of Dockwise transports. The calculation of the operational margin is independent of the standard safety margin valid for each transport. The conclusion is that the recorded nowcast significant wave height for the analyzed voyages never exceeded 5.0 [m]. With larger design wave heights the minimum operational margin increases to more than 40%, while the lowest operational margin occurs at design wave heights around 4.5 [m]. The database built by gathering all relevant information from the system and from crew observations, increases insight in the operational margins, which contributes to increased knowledge and safety.

scholarly journals Evaluation of decision support system for agrotechnology transfer SUBSTOR potato model (v4.5) under tropical conditions

2016 ◽  
Vol 34 (1) ◽  
pp. 1 ◽  
Author(s):  
Moleen Monita Nand ◽  
Viliamu Iese ◽  
Upendra Singh ◽  
Morgan Wairiu ◽  
Anjeela Jokhan ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Dry Weight ◽  
Growing Season ◽  
Daily Basis ◽  
Weather Data ◽  
Experimental Conditions ◽  
Plant Component ◽  
Tropical Conditions

Decision Support System for Agrotechnology Transfer (DSSAT) SUBSTOR Potato model (v4.5) was calibrated using Desiree variety. DSSAT SUBSTOR Potato model simulates on a daily basis the development and growth of potatoes using inputs such as climate, soil and crop management. The experiment was conducted in Banisogosogo, Fiji Islands, during the potato growing season of 2012. Fresh and dry weights of belowground plant component (tubers) were taken during progressive harvests. The DSSAT SUBSTOR Potato model was calibrated using experimental field data, soil and weather data of the growing season. The manual calibration steps involved recalculation of soil water content and the adjustments of genetic co-efficient to suit the temperature and daylength regime similar to the experimental conditions. Tuber dry weight was used as the main parameter to evaluate the model. The R2 values of the observed and simulated model outputs before calibration for replicate plot 1, replicate plot 2 and replicate plot 3 were 0.52, 0.49 and 0.61 respectively. After calibration, the R2 values for tuber dry yield for replicate plot 1, replicate plot 2 and replicate plot 3 were 0.88, 0.66 and 0.92 respectively indicating a strong positive relationship between the simulated and the observed yield.

scholarly journals Evaluation of the BlightPro Decision Support System for Management of Potato Late Blight Using Computer Simulation and Field Validation

2015 ◽  
Vol 105 (12) ◽  
pp. 1545-1554 ◽  
Author(s):  
Ian M. Small ◽  
Laura Joseph ◽  
William E. Fry
Keyword(s):  
Computer Simulation ◽  
Decision Support ◽  
Decision Support System ◽  
Late Blight ◽  
Support System ◽  
Field Experiments ◽  
Crop Protection ◽  
Disease Suppression ◽  
Weather Data ◽  
Interactive System

The objective of this study was to evaluate the utility of the BlightPro decision support system (DSS) for late blight management using computer simulation and field tests. Three fungicide schedules were evaluated: (i) calendar-based (weekly) applications, (ii) applications according to the DSS, or (iii) no fungicide. Simulation experiments utilized 14 years of weather data from 59 locations in potato-producing states. In situations with unfavorable weather for late blight, the DSS recommended fewer fungicide applications with no loss of disease suppression; and, in situations of very favorable weather for late blight, the DSS recommended more fungicide applications but with improved disease suppression. Field evaluation was conducted in 2010, 2011, 2012, and 2013. All experiments involved at least two cultivars with different levels of resistance. DSS-guided and weekly scheduled fungicide treatments were successful at protecting against late blight in all field experiments. As expected, DSS-guided schedules were influenced by prevailing weather (observed and forecast) and host resistance and resulted in schedules that maintained or improved disease suppression and average fungicide use efficiency relative to calendar-based applications. The DSS provides an interactive system that helps users maximize the efficiency of their crop protection strategy by enabling well-informed decisions.

An Integrated Decision Support System for Intercropping

2012 ◽  
pp. 199-216 ◽  
Author(s):  
A. S. Sodiya ◽  
A. T. Akinwale ◽  
K. A. Okeleye ◽  
J. A. Emmanuel
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Crop Production ◽  
Large Scale ◽  
Weather Condition ◽  
Agricultural Practice ◽  
Pests And Diseases ◽  
General Decline ◽  
Fertility Protection

Intercropping, which is the agricultural practice of growing two or more crops in the same land area, is not currently yielding adequate results in Africa. Despite the advantages of intercropping like improved soil fertility, protection against pests and diseases and eventual increase in farm yield, this farming practice is faced with challenges—inadequate planning, bad crop management and lack of required intercropping expertise. Consequently, this has resulted in inadequate reward for farmers and a general decline in crop production. In this regard, the authors present an Intelligent and Integrated Intercropping Decision Support System for Intercropping (IDSS-I) for improved crop production. The design adopts a forecasting component that provides farmers with the estimated yield and income depending on the size of land, soil type and weather condition. Although the implementation was carried out using JAVA and SQL, usability testing revealed 85% acceptance of the tool among the contacted 10 large scale farmers. It was also confirmed that the system provided 95% diagnosis information for 90% common Africa crop diseases.

scholarly journals Analisa Metode VIKOR pada Rekomendasi Alat Musik Keyboard Electone Terbaik

2020 ◽  
Vol 1 (1) ◽  
pp. 31-36
Author(s):  
Azi Arisandi ◽  
Eka Satria Pribadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Data Source

The purpose of this study is to recommend the best electone keyboard. The method used in this research is Visekriterijumsko Kompromisno Rangiranje (VIKOR) Algorithm where the data source used is obtained from the results of questionnaires and interviews. Decision Support System is an alternative to making appropriate and efficient decisions in the process of selecting electune keyboard instruments. The VIKOR algorithm is used to find the best alternative. The alternatives used are Yamaha PSR S970 (A1), Korg PA 50 (A2), Casio MZX (A3), Technis KN 2000 (A4). The results of the study using VIKOR are in the form of ranking, where the first ranking is Yamaha PSR S97 (A1) and the second is Technis KN 2000 (A4).

scholarly journals Rancangan Pengembangan Sistem Layanan Diseminasi Peringatan Dini Tsunami Berbasis Service Oriented Architecture (SOA) (Studi kasus : Badan Meteorologi Klimatologi dan Geofisika)

2019 ◽  
Vol 2 (3) ◽  
pp. 230-243
Author(s):  
Hidayanti
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Service Oriented Architecture ◽  
Service System ◽  
System Engineering ◽  
Service Oriented

Indonesia merupakan negara dengan wilayah aktifitas kegempaan yang tinggi serta berpotensi menyebabkan kejadian bencana tsunami. Karakeristik tsunami yang berpotensi berulang memerlukan upaya mitigasi. Salah satu upaya mitigasi tsunami yaitu tanggap peringatan dan dapat memanfaatkan teknologi informasi. Badan Meteorologi Klimatologi dan Geofisika (BMKG) merupakan instansi yang mempunyai tugas, pokok dan fungsi untuk menyediakan dan menyebarluaskan peringatan dini tsunami. Diseminasi peringatan dini tsunami BMKG diharapkan memenuhi kebutuhan informasi yang bernilai bagi masyarakat dalam melakukan tindakan yang tepat pada sebelum terjadi bencana. BMKG telah mempunyai beberapa moda komunikasi yang dikendalikan oleh sistem diseminasi secara otomatis menyebarluaskan peringatan dini tsunami. Sistem diseminasi tersebut didukung oleh sistem pengolahan gelombang seismik (SeisComp3), sistem pemodelan tsunami (TOAST), Decision Support System (DSS), dan auto engine narasi. Performa layanan sistem-sistem tersebut dirasa masih perlu untuk ditingkatkan dan dikembangkan karena saat ini karena masih menggunakan konsep komunikasi data sederhana. Konsep komunikasi data pada antar sistem tersebut perlu dikembangkan dengan konsep yang lebih baik lagi sehingga antar sistem bisa berkomunikasi dengan layer dasar dan satu sama lain mengikuti serangkaian protokol dan spesifikasi. Hal ini sangat dibutuhkan dalam peningkatan layanan diseminasi yaitu pada penambahan moda komunikasi/penerima. Penelitian ini bertujuan sebagai upaya peningkatan efektifitas dan performa sistem layanan diseminasi peringatan dini tsunami yang bertarget pada penerima prioritas dengan memanfaatkan interoperability antar sistem pada Pusat Gempabumi dan Tsunami BMKG. Hasil penelitian ini berupa rancangan konsep dan prototipe sistem layanan diseminasi peringatan dini tsunami beserta evaluasinya. Perancangan konsep sistem layanan tersebut menggunakan prinsip Service Oriented Architecture (SOA) dan menggunakan metodologi Service System Engineering (SSE).

Sign in / Sign up

Export Citation Format

Share Document