Information Decision Support Systems Research Articles

INVESTIGATION OF THE PROBLEM OF OPTIMIZATION OF THE HIERARCHICAL STRUCTURE OF A SPARSE AND DENSE COMMUNICATION NETWORK

The article is devoted to the study of the optimization problem for the hierarchical structure of a multicommodity communication network with discrete flows and parameters when its density changes (the ratio of the number of network arcs to the maximum possible number of arcs for a given number of nodes in the network). The network has three levels of hierarchy — a backbone, a zonal and a internal and four types of nodes — backbone nodes of the first, second and third types, forming the backbone and zonal levels of the network, and nodes of the fourth type, which subordinate to each backbone node and form the internal levels of the network. The types of nodes different from one another in functionality. The main task of the study is to establish how the structure of the backbone network changes (the number and location of backbone nodes of the first, second and third types), the scheme of processing and distribution of flows and technical and economic indicators of the network's functioning for various degrees of its density. The principles of organizing the sorting and distribution of flows in a three-level network and its mathematical model are given. A mathematical model of the problem of optimizing the structure of the backbone network and the schemes of sorting and distribution of flows is formulated. The algorithms for solving the problem are based on the discrete analogue of the local descent method proposed earlier by the authors, when the neighborhoods of the metric space of possible solutions are chosen from heuristic considerations, taking into account the peculiarities of the problem being solved. Computer modeling of the problem on a homogeneous network containing 100 nodes with a change in the degree of nodes from 2 to 99 is carried out. The modeling was carried out on the example of a road transport network for the transportation of cargo using a computer program, which is part of the instrumental software of the Information and Analytical Decision Support System (IA DSS), which is being developed at the Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine. An experimental study of the solution to the problem showed that the best technical, economic and operational indicators of its functioning are achieved with a degree nodes from 9 to 14, when high network connectivity is ensured, and is significantly reduced the average and maximum time of delivery of cargos to recipients. The proposed computer technology for solving problem with changing network density allows you to interactively modeling various options of a network , changing the topology, hierarchical structure, flows, parameters and constraints of the model and from the family of the resived results choose the best option, taking into account the selected a goal function and the accepted constraints; calculate preliminary technical and economic indicators of the network's functioning, estimate the cost of additional resources and plan the amount of investment required for the modernization and construction of its structural elements, which ultimately makes it possible to increase the efficiency functioning of the network by optimizing use of its resources and reducing the operating costs for the processing and transportation of flows.

DECISION SUPPORT INFORMATION SYSTEM FOR THE CHOICE OF MASTER'S PROGRAMS

In the context of COVID-19, when most of the processes are transferred online, one of the tasks of digitalizing the main business processes of modern universities is the implementation of marketing strategies, in particular, for the implementation of career guidance activities, and helping future applicants - applicants for I and II (master's) levels of the higher education in the implementation of the choice of educational programs. Therefore, the need to design an information system for decision-making support for the choice of master's programs based on the results of career guidance testing is actualized. The creation and use of the system "Selection of a master's program" will contribute to an increase in the efficiency of career guidance work on the part of higher educational institutions, as well as a more conscious choice of an educational program on the part of applicants. Based on the results of the analysis of the needs of potential students (potential graduates) and other analogues, we have modelled a decision support information system for the choice of master's programs. The main business processes, types of users (applicant, methodologist, expert, analyst) and options for their interaction with the system, namely, the formation of tests, passing the test, the formation of recommendations (educational programs) and the implementation of educational analytics, have been determined. The option of realization of this system by means of Visual Studio Code and MySQL for definition of specialties and educational programs on an example of National university of bioresources and nature management (NULES) of Ukraine is offered. This web resource can be useful both for university students or prospective applicants of the University and for other users as the developed system belongs to the reference class. The directions of further research are determined, in particular, the application of data mining methods for educational analytics. The necessity of attracting specialists to create tests is defined to provide the basis for determining the educational program not only based on an analysis of future applicants’ preferences, but also the level of formation of the corresponding professional skills.

Realization of a Geographic Information System for aid decision-making for forest management

This work aims to create a decision support and geographic information system aimed at optimizing the management of forest capital in the Adrar region. Through this awareness, we question the place of geographic information in the dialogue process and the approach to sustainable development. Cadastral data, satellite images, cartographic and photographic data will be presented. Data processing and data integration will be discussed. The expected results must provide knowledge beyond reach without these tools. They clarify the importance of satellite images and the spatial component of geographic information. In the current context of sustainable development, geographic information appears necessary for decision-making.

Информационно-аналитическая система «BabySpine» для диагностики и планирования лечения детей с деформациями позвоночника

The article presents the information and analytical decision support system «BabySpine» for diagnosing and planning surgical treatment of injuries and diseases of the spine children with severe congenital spinal deformities. The system will be helpful for neurosurgeons, traumatologists, orthopedists, radiologists and other specialists of healthcare organizations providing medical care to such patients. It is designed to increase the objectivity of diagnosis and the validity of the treatment plan.

Rapid mapping accuracy assessment using low-cost UAV and open-source Structure from Motion

This study is part of an industrial research project in collaboration between the University of Bari, Niteko S.r.l. and the Geographisches Institut of Mainz. The project aims to develop low-cost technologies and methodologies to map areas affected by paroxysmal events.Indeed, when a natural disaster occurs, one of the first steps in the emergency response is rapid mapping using time-efficient techniques in order to provide quick information for decision support system. Usually these techniques are not compliant with the quality standards, leading to the impossibility to assess the accuracy of the digital maps and models obtained.A commercial UAV was used to map the upper part of a landslide in Pomarico (Southern Italy) by planning two flights, collecting 165 high-resolution images. The images were processed with the Structure-from-Motion technique, using the open-source software MicMac, leading to obtain the orthophoto, the dense cloud and the 3D model of the study area, within 12 hours of work.In order to assess the accuracy of the model, 40 sample distances were measured on the field and compared with the same distances measured in the digital model. By the error distribution analysis, it was possible to identify a significant lack of homogeneity between the planar and altimetric model accuracy.

USE OF IT-TECHNOLOGIES TO SOLVE ENVIRONMENTAL SAFETY MANAGEMENT PROBLEMS DURING PLACEMENT OF CONSEQUENCES OF EMERGENCY SITUATIONS

The article is devoted to studying ways to solve the scientific and practical problem of increasing the efficiency of information and analytical decision support systems in emergency situations by reducing the processing time of monitoring data, as well as increasing the ability of information subsystems and components to interact and ensure the deployment of a single information infrastructure.The organization of the environmental safety management process in the event of emergencies provides for the implementation of a number of specific tasks inherent in traditional expert systems. First of all, this is the task of fixing in real time the behavior of the ecological system in an emergency, the formation and implementation of decisions in accordance with the dynamics of changes in its state. One of the most important tasks is the visual display of the current state of the object and the environment as a result of their stay in an emergency. The current state of the environment, as a rule, changes almost by accident, since it depends on many random factors.Modern management of the consequences of various types of emergencies is based on the current use of information technology, provides for the collection and processing of environmental information, forecasting the development of emergencies and risk assessment, integrating and consolidating environmental monitoring data in real time, creating expert systems and knowledge bases, coordinating actions and information support in organizing the interaction of forces and means.A mathematical apparatus is proposed for processing streaming data in order to implement control functions in environmental safety systems. An ontological system presents a diagram of data flows implemented during the deployment of the environmental safety management information infrastructure.

MVPP-Based Materialized View Selection in Data Warehouses Using Simulated Annealing

The process of extracting data from different heterogeneous data sources, transforming them into an integrated, unified and cleaned repository, and storing the result as a single entity leads to the construction of a data warehouse (DW), which facilitates access to data for the users of information systems and decision support systems. Due to their enormous volumes of data, processing of analytical queries of decision support systems need to scan very large amounts of data, which has a negative effect on the systems’ response time. Because of the special importance of online analytical processing (OLAP) in these systems, to enhance the performance and improve the query response time of the system, an appropriate number of views of the DW are selected for materialization and will be utilized for responding to the analytical queries, instead of direct access to the base relations. Memory constraint and views maintenance overhead are two main limitations that make it impossible, in most cases, to materialize all views of the DW. Selecting a proper set of views of DW for materialization, called materialized view selection (MVS) problem, is an important research issue that has been focused in various papers. In this paper, we have proposed a method, called P-SA, to select an appropriate set of views using an improved version of simulated annealing (SA) algorithm that utilizes a proper neighborhood selection strategy. P-SA uses the multiple view processing plan (MVPP) structure for selecting the views. Data and queries of a benchmark DW have been used in experimental results for evaluating the introduced method. The experimental results show better performance of the P-SA compared to other SA-based MVS methods for increasing the number of queries, in terms of the total cost of view maintenance and query processing. Moreover, the total cost of queries in the P-SA is also better than the other important SA-based MVS methods of the literature when the size of the DW is increased.

Information System for Decision Support in the Field of Tourism Based on the Use of Spatio-Temporal Data Analysis

Information System for Decision Support in the Field of Tourism Based on the Use of Spatio-Temporal Data Analysis

SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA KARYAWAN DENGAN METODE ANALYTIC HIERARCHY PROCESS (AHP)

Decision Support System in Employee Performance Appraisal is a web-based system used to support decision making for outsourcing employee contract extensions. This study aims to provide a decision support information system in employee performance appraisal so that employee performance appraisals and employee contract extension decisions can be carried out systematically. Currently, employee performance appraisals and decision making for employee contract extensions are still done manually using spreadsheets. The method used in the design of decision support systems in the web-based employee performance appraisal is the method of calculating the assessment using the AHP (Analytic Hierarchy Process) method and the prototype system development method. The design of this system provides convenience to the personnel staff and the head of personnel in assessing and making decisions for employees who are about to expire their contract. The system can also be a means for personnel staff in accessing reports on employee data whose performance has been assessed by the division head and makes it easier for personnel staff to make decisions on employee contract extensions. With the system, employees will be more motivated to do their job better.

Rancang Bangun Sistem Informasi Geografis Rekomendasi Cagar Budaya Menggunakan Metode Analytic Hierarchy Process

Salatiga City is a town located in the province of Central Java. In this town, there can be found many cultural heritage buildings that were built in the mid-18th century to 1940. Potential visitors would increase easier if a geographic information system is built. Tourists who visit can access the website to select or search for cultural heritage that they want to visit, therefore the availability of a geographic information system that provides information and data on the location of cultural heritage in digital maps is needed. The system must also consider aspects of the cultural heritage rating, the price of admission, and the condition of the cultural heritage to provide recommendations on which cultural heritage to be visited. Therefore the geographic information system of cultural heritage recommendations uses the analytical hierarchy process (AHP) method which can calculate multi- criteria, multi alternatives, and provides cultural heritage recommendations. This system combines geographic information system as a provider of cultural heritage information and AHP decision support system to assist tourists in choosing cultural heritage.

IMPLEMENTASI SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE DALAM PEMILIHAN MINAT EKSTRAKURIKULER SISWA

Extracurricular activities are part of the internal learning process of schools as an effort to channel talent as a driver of fulfillment and student development. Among the extracurricular activities at school are (1) scouts, (2) Paskibraka, (3) Red Cross, (4) School security forces, (5) Nature lovers, (6) School health, (7) Scientific Youth, (7) 8) Sports, and (9) Arts. The choice of extracurricular interests is an important factor for students. The right choice will have an impact on improving the ability and skills of students themselves. For this reason, in this study the SMART method was implemented that could assist students in selecting extracurricular activities that they would like to do. The implementation of the SMART method is carried out by means of or through decision support information systems. The decision support information system development is using the waterfall method which has five stages, namely communication, planning, modeling, construction and deployment. The results of the development show that the resulting information system can run the SMART method correctly starting from charging the value of interest, weighting, utility, and gritting. These conditions can also be seen from the results of tests that show all components can be accepted or function aly.

System for analysing of big data on cybersecurity issues from social media

The paper proposes and substantiates approaches to building a corporate system for monitoring and analyzing social media on cybersecurity issues, which are based on the concept Big Data, Data/Text Mining, Information Extraction, Complex Networks, and Cloud Computing. The components of Elastic Stack technology, Sphinx information retrieval system, Graph Data Base Management System Neo4j, and Gephi graph analysis system are examined in detail. The main idea of a system for analyzing large amounts of data on cybersecurity issues from social media is the simultaneous application of methods and means of information retrieval, data analysis, and aggregation of information flows. The system should ensure the implementation of the following functions: the formation of databases by collecting information from certain information resources; settings for automatic scanning and primary processing of information from websites and social networks; maintaining full-text information databases; identifying duplicates similar in content to informational messages; full-text search; analysis of text messages, determination of tonality, the formation of analytical reports; integration with geographic information system; data analysis and visualization; study of the dynamics of thematic information flows; predicting developments based on the analysis of the dynamics of the publication in social media; providing access for many users to the functional components of the system. The practical significance of the results is to create a working layout of the content monitoring and analysis system of social media on cybersecurity issues, ready to be used as a component in information and cybersecurity decision support systems. The interface of the system layout is considered, in which the functions of search, analysis, and forecasting of information appearance in social media are available. Central to the interface is a digest of the most relevant user needs. In the analytical mode, a number of tools are implemented for graphical presentation of the analyzed data, which are displayed as a time series of the number of relevant queries per day, as well as viewing the main topics, clusters grouped by predefined reference words. The system provides modes for forming networks of concepts that correspond to individual messages (persons, brands) and information sources that allow you to rank the concepts and explore the relationships between them.

Public procurement quality assessment of a region: regression analysis

PurposeThe paper aims to present the results of a study aimed at constructing economic and mathematical models used in decision-making in the management of budget procurement of a region, contributing to the efficient use of budget funds. One of the key problems in this area is the assessment of the quality of procurementDesign/methodology/approachOne of the key problems in this area is the assessment of the quality of procurement, the solution of which requires the application of economic and mathematical methods, models, tools and algorithms built into information systems for supporting decision-making. The introduction of these systems brings to a qualitatively new level the system of relations between subjects of budget procurement. The paper analyzes modern publications on the implementation of public procurement and related issues of efficiency (savings) of budgetary funds.FindingsThe indicators on the basis of which the evaluation of the quality of regional procurement is determined are proposed. The architecture of the information system for decision support in the evaluation of procurement quality has been developed. The system has the property of adapting to changes in the state of the environment through the constant accumulation of statistical data characterizing the procurement and adjustment of the parameters of the mathematical model in accordance with them. A mathematical model is built into the control loop that allows ranking the indicators of budget purchases by the degree of their influence on the effective attribute. The role of a functional feature is the quality of budget procurement. The mathematical model is based on the application of the mathematical apparatus of correlation and regression analysis. The impact of each of the factor attributes on the functional attribute has been assessed.Originality/valueThe mathematical model is based on the application of the mathematical apparatus of correlation and regression analysis. The impact of each of the factor attributes on the functional attribute has been assessed. Real statistics are given that characterize budget procurements carried out in retrospect. The coefficients of the linear regression model are determined based on the use of the STATISTICA application software package. The proposed decision support information system with a regression model built into it allows one to make scientifically and quantitatively sound decisions when assessing the quality of budget purchases of a region.

APPLICATION OF THE THEORY OF THE SETS TO REPRESENT THE LINGUISTIC OBJECTS IN ONTOLOGY

World experience shows that intelligent information systems for decision support are an integral part of modern society functioning. The basis of many tasks that lies in the development of decision support systems is the presentation of knowledge of a particular subject field. Each decision-support system, depending on the application field, has its own characteristics that characterize the main objectives of this subject area, among which, for example, the presentation of knowledge of multi-level administration systems for decision support purposes. In modern conditions, mathematical modeling is the most effective for the formal representation of knowledge in decision support systems which can be used to represent declarative knowledge of land relations. Therefore, urgent scientific practical problem is relevant now that lies in the representing contradictory knowledge in multilevel administration systems. The scientific and practical task envisages the transformation of declarative knowledge of the subject field in the form of mathematical and informational models using elements of set theory. The task envisages the transformation of declarative knowledge in the form of mathematical models with using set theory. The research used methods: analysis, set theory, mathematical modeling, corpus linguistics, ontological engineering. The results of the study are important for organizing activities in a variety of industries using a large body of documents and laws. The purpose of this work is to develop models of knowledge representation on the use of set theory in ontology. The object of research is the process of decision support in multilevel systems. Subject of research is the mathematical models of knowledge representation in multilevel administration systems using set theory. Keywords: formalization, theory, predicate logic, corpus linguistics, ontology, set theory, model.

Does pharmaceutical information systems data inform decision-making in public healthcare? Utility of a national system in a limited resource setting.

Globally, weak pharmaceutical information systems (PIS) negatively affect universal health coverage and outcomes. Few studies in sub-Saharan Africa qualitatively and quantitatively assess drivers and utility of data from PIS in public healthcare. A nationwide cross-sectional descriptive study interviewed PIS focal persons in all 14 regions of Namibia. The primary outcome was extent and predictors of utility of PIS data. The extent of utility of PIS data was determined using descriptive statistics and predictors by logistic regression in SPSSv24 or thematic analysis for qualitative data. The study recruited 58 key informants at facility-based 56 (96.6%) and national 2 (3.4%) levels. Of the 56 facility-based respondents, 29 (51.8%) were female and 27 (48.2%) pharmacists. The mean age and PIS work experience were 33.5±7.6years and 4.5±3.3years respectively. The utility level of PIS data was 34 (60.7%) (target >80%). A total of 103 uses of PIS data were cited; of which 38 (36.9%) were informing decisions on rational medicine use, 27 (26.2%) on pharmaceutical stock management and 24 (23.3%) on strengthening pharmacy workforce. The utility of PIS data significantly decreased with lack of systems on routine reporting by health facility in-charge (cOR=0.25, 95%CI: 0.06,0.90, p=0.035). Longer work experience (cOR=1.05, 95%CI: 0.88,1.25, p=0.58), formal consultations (cOR=1.29, 95%CI: 0.14,11.54, p=0.82), and availability of feedback systems (cOR=1.08, 95%CI: 0.33,3.56, p=0.89) appeared to increase utility of PIS data. Two thematic drivers of utility of PIS data were programmatic "feedback and action on PIS; structures,technical supportfor PIS discussion"; technical "training/technical capacity of staff; tools and resources for data collection and utilization"; and human-resource "staff availability and workload; attitude and commitment". The nationwide study shows sub-optimal utility of PIS data in public healthcare in Namibia, which negatively affects delivery of pharmaceutical services. This calls for action to enhance capabilities for utilization of automated real-time pharmaceutical information decision support systems to enhance real-time analysis and feedback on medicines data in resource-limited settings.

ФОРМУВАННЯ ЕВРИСТИЧНИХ ПРАВИЛ, БАЗИ ЗНАНЬ ТА ФОРМАЛІЗАЦІЯ СТРУКТУРИ Й ПРАВИЛ ТЕХНОЛОГІЧНОГО ПРОЦЕСУ ДЛЯ ОПТИМІЗАЦІЙНОЇ ХМАРНОЇ ІНФОРМАЦІЙНОЇ СИСТЕМИ

Предметом вивчення у статті є структура технологічного процесу для оптимізаційної хмарної інформаційної системи, формування евристичних правил та бази знань. Метою роботи є формування евристичних правил, бази знань та формалізація структури й правил технологічного процесу для оптимізаційної хмарної інформаційної системи. Задачі: В процесі формування структури технологічного процесу визначити низку параметрів, які не регламентуються вимогами до готового виробу, але їх значення суттєво впливають на результат планування технологічних операцій. Інформаційна система повинна забезпечити правильність заповнення вимог до результатів технологічного процесу. Система повинна забезпечити контроль повноти та сумісності вхідних даних, проводити контроль наявності вимог, які не можна визначити із вже заданих критеріїв. Також система повинна забезпечити можливість залишити вимогу невизначеною, якщо з вже визначених величин можлива оцінка цієї вимоги. На основі вимог технологічного процесу сформулювати евристичні правила. Розробити структуру інформаційної системи підтримки прийняття рішень для автоматизації створення оптимізованих технологічних процесів відновлення поверхонь деталей електродуговим напиленням Результатами роботи є інформаційна система яка включає у себе: базу знань, що містить, допустимі діапазони вхідних даних, забезпечує контроль повноти та сумісності вхідних даних, проводить контроль наявності вимог, які не можна визначити із вже заданих критеріїв. Забезпечує можливість залишити вимогу невизначеною, якщо з вже визначених величин можлива оцінка цієї вимоги. З зазначених вимог технологічного процесу сформульована група евристичних правил, розроблено структуру інформаційної системи підтримки прийняття рішень для автоматизації створення оптимізованих технологічних процесів відновлення поверхонь деталей електродуговим напиленням. Висновки: наукова новизна полягає у формуванні технологічного процесу для оптимізаційної хмарної експертної системи. Сформульована група евристичних правил, розроблена структура інформаційної системи підтримки прийняття рішень для автоматизації створення оптимізованих технологічних процесів відновлення поверхонь деталей електродуговим напиленням

Penerapan Decision Tree Data Mining Pada Produksi Kelapa Sawit PT Hindoli Di Sungai Lilin Kabupaten Musi Banyuasin

Data mining is an interesting pattern extraction of large amounts of data. PT Hindoli itself has a decision support information system that applies the c4.5 data mining algorithm. Given the large amount of data available, data mining estimates that palm oil production for a month is from production data. As one of the companies engaged in processing palm oil and producing palm oil, palm oil, and high-quality seed oil, which are grown by farmers into materials that can be sold and will be distributed to production data. The method used is the decision tree method to explore data, find hidden relationships between a number of prospective variables, among others, the number of producing oil palm based on the year, production, competition, and price, resulting in data accumulation or data grouping every month. Input with the target variable is expected to help PT Hindoli in monitoring palm oil processing.

Development of car rental system based on geographic information system and decision support system with AHP (Analytical Heirarchy Process) and SAW (Simple Additive Weighting) method

The purpose of this study was to develop an application of a car rental system with recommendations using the AHP and SAW methods in a decision support system. The purpose of developing this system was to help the public in knowing the car rental system and carry out the car rental process complete with recommendations. The development of this system uses the ADDIE method which consists of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. There are 3 tests carried out namely the black box test, white box, and user response test. This research succeeded in developing a car rental system after passing the black box test and white box test. User response test conducted on this car rental system is included in a very good range with the System Usability Scale (SUS) 93.13.

Prospects for the Introduction of Micro Training in the Occupational Safety Management System

The article presents the results of a study of the relationship between the competence of personnel of industrial enterprises and the level of industrial injuries. It is shown that micro training is an effective way to improve staff competence in the field of security requirements. The micro training is the submission of educational material in small blocks and the instantaneous consolidation of each block by micro-tasks (in the form of testing before the shift begins). Micro training allows you to continuously develop and control the competence of employees, to form skills of safe behavior. At Belgorod State Technological University named after V.G. Shukhov an Expert Information and Analytical Decision Support System in the field of occupational safety management has been developed, which includes a module for micro training, testing and evaluating the competence of workers. The proposed module is a component of an integrated occupational safety management system designed to determine the level of competence of the personnel of industrial enterprises and hazardous production facilities in matters of occupational health and safety of production activities. The use of the product will allow enterprises to monitor the dynamics of personnel competence indicators, the technical condition of production facilities, external factors, predict the risks of accidents, emergencies and industrial injuries at enterprises and hazardous production facilities, and apply ready-made solutions to eliminate accidents.

May smart technologies reduce the environmental impact of nitrogen fertilization? A case study for paddy rice.

Precision agriculture is increasingly considered as a powerful solution to mitigate the environmental impact of farming systems. This is because of its ability to use multi-source information in decision support systems to increase the efficiency of farm management. Among the agronomic practices for which precision agriculture concepts were applied in research and operational contexts, variable rate (VR) nitrogen fertilization plays a key role. A promising approach to make quantitative, spatially distributed diagnoses to support VR N fertilization is based on the combined use of remote sensing information and few smart scouting-driven ground estimates to derive maps of nitrogen nutrition index (NNI). In this study, a new smart app for field NNI estimates (PocketNNI) was developed, which can be integrated with remote sensing data. The environmental impact of using PocketNNI and Sentinel 2 products to drive fertilization was evaluated using the Life Cycle Assessment approach and a case study on rice in northern Italy. In particular, the environmental performances of rice fertilized according to VR information derived from the integration of PocketNNI and satellite data was compared with a treatment based on uniform N application. Primary data regarding the cultivation practices and the achieved yields were collected during field tests. Results showed that VR fertilization allowed reducing the environmental impact by 11.0% to 13.6% as compared to uniform N application. For Climate Change, the impact is reduced from 937.3 to 832.7kg CO2 eq/t of paddy rice. The highest environmental benefits - mainly due to an improved ratio between grain yield and N fertilizers - were achieved in terms of energy consumption for fertilizer production and of emission of N compounds. Although further validation is needed, these preliminary results are promising and provide a first quantitative indication of the environmental benefits that can be achieved when digital technologies are used to support N fertilization.