Intelligent support system for agro-technological decisions for sowing fields

2021 ◽  
pp. 15-22
Author(s):  
Olena Fedusenko ◽  
Natalia Shkurpela ◽  
Iryna Domanetska ◽  
Anatoliy Fedusenko
Keyword(s):  
Support System ◽  
Planning Process ◽  
Intelligent System ◽  
Fertilizer Application ◽  
Precision Farming ◽  
Functional Requirements ◽  
Monitoring Methods ◽  
Intelligent Support ◽  
Modern Agriculture ◽  
General Architecture

The are crop planning problems exist in a modern agriculture of Ukraine. With the help of the intelligent support system for agro-technological decisions proposed by the authors, it is possible to simplify the planning process by using the concept of precision farming. Modern fields monitoring methods were analyzed and methods that will be used in the intelligent system are identified. The k-means method is one of them and will be applied to field clustering. The authors analyzed modern research and publications related to the concept of precision farming and the problem of implementing modern innovative information systems in agriculture of Ukraine. The decomposition of the intelligent system was carried out. Six main subsystems were identified, functional requirements were developed for each of them. Modern methods of fields monitoring are analyzed and methods that will be used in the intelligent system are identified, one of which is the k-means method, which will be applied to field clustering. Based on the already developed requirements, the authors have developed the general architecture of the system. The notation TOGAF was applied for the graphical display of the architecture. Based on the proposed architecture, intelligent system software was created. As a result of testing the soft-ware of the intelligent system, it is possible to draw a conclusion about its efficiency and readiness for implementation. The designed and developed system allows to carry out intellectual analysis of historical data of crops, to display results in the form of tables and graphs, to carry out planning of crops, agrotechnological operations and fertilizer application. The introduction of this system will improve the quality of management decisions and productivity of agricultural activities.

scholarly journals Development of Planning Support System for Urban Rehabilitation and Reconstruction

2008 ◽  
Vol 3 (6) ◽  
pp. 422-428 ◽  
Author(s):  
Takaaki Kato ◽  
◽  
Itsuki Nakabayashi ◽  
Taro Ichiko ◽  
Keyword(s):  
Urban Planning ◽  
Training Program ◽  
Support System ◽  
Disaster Recovery ◽  
Planning Process ◽  
Recovery Process ◽  
Disaster Planning ◽  
Planning Support ◽  
Planning Support System ◽  
Post Disaster

The past post-disaster recovery process had many difficulties in planning. The importance of residents participatory urban planning is true of post-disaster planning and ordinary planning; however, there are difficult problems as follows: time-scale conflict between desire of affected households for swift recovery of their individual lives and enough consideration of urban planning to avoid speed-before-quality planning, unsmooth discussion and consensus building because of mutual conflict of their interest in the residents, and a shortage of professionals in the case that an earthquake disaster hits wide and high-density urbanized region. The concept of "pre-disaster planning" has been propounded as measures to deal with these serious situations after 1995 Hyogo-ken Nambu Earthquake in Japan. Actual measures including "neighborhood community-training program for post-disaster recovery" of Tokyo Metropolitan have been implemented in various approaches. This study has pioneering approach in this context. We focus on planning support technologies based on a geographic information system (GIS) and establish planning support system for post-disaster community-based urban planning, which will smooth discussion and increase efficiency of planning work. An introduction of the system will result in reduction of total time needed on the planning process and supplement of professionals. Though there are some problems that we identified, they will be solved in accumulated experiences such as the training program in the near future.

An architecture for an intelligent support system for design validation and manufacturing of aerospace components

2003 ◽  
Vol 10 (4) ◽  
pp. 351-363
Author(s):  
Costas Lambrinoudakis ◽  
George Maistros ◽  
Dimitri Bofilios ◽  
John Darzentas
Keyword(s):  
Support System ◽  
Design Validation ◽  
Intelligent Support

Development of Finite Element Analysis Support System Based on the Hybrid Knowledge Model

1992 ◽  
Author(s):  
S. Nagasawa ◽  
H. Sakuta ◽  
M. Goto
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Support System ◽  
System Development ◽  
Object Oriented ◽  
Data Representation ◽  
General Purpose ◽  
Element Analysis ◽  
Intelligent Support ◽  
Hierarchical Representation

Abstract This paper deals with conceptual orientation and system development of intelligent support system for general purpose FEA (finite element analysis) programs. An integrated support system called “InhierTalk” (Integrated interactive environment for hierarchical representation for FEA) has been developed in Smalltalk, an object oriented language, in order to confirm effectivity of hierarchical representation and to establish an optimum method of the system development. Two object-oriented knowledge models which consist of macro visual data representation and micro regularized data representation are proposed. In the development, it is found to be clear that active and passive evaluation methods are effective for construction of support system.

An Intelligent Decision Support System for Sustainable Energy Local Planning

2017 ◽  
pp. 81-100
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Intelligent System ◽  
Sustainable Energy ◽  
Action Plan ◽  
Local Planning ◽  
Development Platform ◽  
Climate Action ◽  
Alternative Scenarios

The main scope of this chapter is to present the “Action3” Decision Support System that integrates the MPC+ approach (Map - Plan - Choose - Check), supporting local and regional authorities to the development, implementation and monitoring of the Sustainable Energy and Climate Action Plan (especially within the framework of the Covenant of Mayors). The proposed intelligent system integrates three main modules, namely the “BEI-Action” for the development of the baseline emission inventory, the “MDS-Action” for the creation and evaluation of the alternative Scenarios of Actions aiming at the identification of the most promising Scenario, as well as the “SEC-Action” for the application of the “Methodological Approach for Monitoring SEC (Sustainable Energy Communities) Targets”. The system was developed using the “Java” programming language and the “NetBeans IDE” software development platform. Particular emphasis was laid on the system's design, so as to be user-friendly, combining intuitive menus and navigation throughout the steps of the system.

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