Спосіб формування маршрутів руху сільськогосподарської техніки на основі електронних карт полів

Open-source software abbreviated as OSS is computer software that is available with source code and is provided under a software license that permits users to study, change, and improve the software. For the commercial software the source code and certain other rights are normally reserved for copyright holders,i.e. the company who developes the software. A group of people in a collaborative manner often developes the Open source software, not under the roof of a large organization. This strategy makes open source software cheap, reliable and modifiable if needed. In this context we shall discuss mainly the features of Open Source Software, differences of open source and free software and open source software movement in Indian perspective.

Nowadays, Open Source Software (OSS) is widely used and plays a crucial role in the software industry. OSS development is a knowledge-intensive activity that requires very high levels of domain knowledge and needs to maintain the knowledge sharing environment. OSS project develop by the contribution of OSS members on its virtual community where every member can communicate and develop software together. To create new open source software needs the motivation of all members, the resources embedded in the relationship in community and the coordination of members as a virtual team to complete the OSS tasks. This study focused on the knowledge sharing in the OSS project community under the individual motivation, virtual community and virtual team perspectives. We analyzed 304 surveys collected from OSS communities and found that the extrinsic motivation, some perspectives of virtual community such as social interaction, identification and perspective of virtual team – team cognition have a direct impact on knowledge sharing of OSS project community. The study found that all the perspectives of virtual community have a significant impact on team cognition, and therefore have indirect effect on the knowledge sharing in OSS. Moreover, our results indicated that knowledge sharing has a significant impact on project performance. Implications for theory building, practical management and future research are also discussed.

Previous research has not discussed about the prediction method of carbon stock changes using open-source software. This research aims to fill the gap by using QGIS as open-source software in. The method used is Support Vector Machine and Cellular Automata, which is only found in QGIS software, including QGIS 3.8.0 and QGIS 2.18.24 with Pip-Python 3. The results show that SVM and Cellular Automata algorithms in QGIS software successfully predicted land cover in the context of carbon stock change. This study shows the prediction of carbon stock changes due to land cover conversion in Salatiga City for the period 2019-2029 decreased by 9,202.77 tons C, where carbon emission was 10,313.47 tons C and carbon sequestration was 1,110.70 tons C. The prediction of carbon stock changes in Salatiga City is needed to reference local governments to formulate mitigation and adaptation efforts to global climate change.

Open Source vs. Proprietary Software: Competition and Compatibility

The Move to the Middle: Convergence of the Open-Source and Proprietary Software Industries

Open Source Software (OSS) is defined as a computer software that is freely provided and which permits users to use, change, and improve the software, and to redistribute it in a modified or an unmodified forms. OSS is developed in a highly social online environment where developers are dispersed in space and time, but rarely interact in a face-to-face manner. Literature in this field specifies many successful OSS implementations in Academic Institutions globally. Educational Institutions have diverse opinion on the academic use of OSS. The concept of open access and the proliferation of academic blogs have broken down many barriers in the educational sector. With the reference of studies conducted in various countries such as Switzerland, USA, Australia, UK etc., it can be said that there are two distinct views on the academic acceptance of OSS. One view is in favor of the use of OSS, while the other is hesitant about OSS thinking that it could suppress the creativity of individuals. OSS represents a social dimension of Learning through a Persistent, Unified, Massively Multi-User, and Self-Organizing Virtual Environment extending beyond the traditional classroom into the universities common areas where learners build knowledge and understanding through serendipitous and collaborative exchanges both within and across subject area boundaries. The digitization of education is a relatively new phenomenon but has already transformed the education sector .Most Educational Institutions are operated on a non-profit basis and many of them are government funded. Open Source Software’s are freely available on well-known OSS Project community providers such as www.SourceForge.net and hence can be implemented in Educational Institutions at no procurement costs. This research is an attempt to examine the differences between the implementation of OSS and Proprietary software’s in Educational Institutions. Findings of this study could facilitate Universities and Educational Institutions to evaluate the options of using OSS for their Information Technology or Information Systems requirements.

Open Source Software (OSS) projects rely on the efforts of thousands of software developers. The sustainability and diversity of these communities are two important factors for the longterm viability of OSS communities. This paper reviews the research on OSS sustainability and diversity. Drawing on the findings of measures on sustainability and diversity, we applied a number of the established metrics to the Android Open Source Project and found that over a third of all contributions originate from Google. Surprisingly, in 2015 we saw a decrease in the total number of contributors within the Android project. Findings from our analysis highlight the importance of sustainability and diversity for the development of OSS.

In this paper, we study oligopolistic competition between closed and open source softwares. By intersecting existing economic contributions on open source, we propose a two stage game with perfect information and product di¤eretiation in which producers firstly set softwares quality, then they determine prices (constrained at zero for open source programs). In doing this, we explicitly model lock-in e¤ects, network externality components of software quality as well as knowledge accumulation in software use and implementation. With respect to a monopolistic benchmark case, we argue that in duopoly a pro- prietary sofware producer facing an open source software will reduce its selling price whether: (i) its network of users is larger than open sources one and its consumers are largely experienced on its program, (ii) it has a small network of un-skilled consumers. In opposition, after open source softwares emergence, proprietary software price does augment if proprietary software users form a large, but poorly skilled network. Fur- thermore, we show that, in all above cases, proprietary software quality increases because of the existence of a open source alternative to a previouisly monopolistic program. Finally, by modeling knowledge accumulation processes through di¤erence equations, we show that the ratio between closed and open source programs opportunity costs of software learning and deployment plays a crucial role in shaping market outcomes. Until an open source software remains too complex and technical for unskilled or time-scarse users, a shared market solution in which both softwares are adopted is predicted. In contrast, if opportunity costs in learning and understanding open source programs are remarkably low, or at least equal to opportunity costs of a closed source software, then a open source dominance outcome (i.e. all software are open ones) phases out.

Open source software (OSS) is computer software that has its underlying source code made available under a licence. This can allow developers and users to adapt and improve it (Raymond, 2001). Computer software can be broadly split into two development models: • Proprietary, or closed software, owned by a company or individual. Copies of the binary are made public; the source code is not usually made public. • Open-source software (OSS), where the source code is released with the binary. Users and developers can be licenced to use and modify the code, and to distribute any improvements they make. Both OSS and proprietary approaches allow companies to make a profit. Companies developing proprietary software make money by developing software and then selling licences to use the software. For example, Microsoft receives a payment for every copy of Windows sold with a personal computer. OSS companies make their money by providing services, such as advising clients on the GPL licence. The licencee can either charge a fee for this service or work free of charge. In practice, software companies often develop both types of software. OSS is developed by an ongoing, iterative process where people share the ideas expressed in the source code. The aim is that a large community of developers and users can contribute to the development of the code, check it for errors and bugs, and make the improved version available to others. Project management software is used to allow developers to keep track of the various versions. There are two main types of open-source licences (although there are many variants and subtypes developed by other companies): • Berkeley Software Distribution (BSD) Licence: This permits a licencee to “close” a version (by withholding the most recent modifications to the source code) and sell it as a proprietary product; • GNU General Public Licence (GNU, GPL, or GPL): Under this licence, licencees may not “close” versions. The licencee may modify, copy, and redistribute any derivative version, under the same GPL licence. The licencee can either charge a fee for this service or work free of charge. Free software first evolved during the 1970s but in the 1990s forked into two movements, namely free software and open source (Berry, 2004). Richard Stallman, an American software developer who believes that sharing source code and ideas is fundamental to freedom of speech, developed a free version of the widely used Unix operating system. The resulting GNU program was released under a specially created General Public Licence (GNU, GPL). This was designed to ensure that the source code would remain openly available to all. It was not intended to prevent commercial usage or distribution (Stallman, 2002). This approach was christened free software. In this context, free meant that anyone could modify the software. However, the term “free” was often misunderstood to mean no cost. Hence, during the 1990s, Eric Raymond and others proposed that open-source software was coined as a less contentious and more business-friendly term. This has become widely accepted within the software and business communities; however there are still arguments about the most appropriate term to use (Moody, 2002). The OSMs are usually organised into a network of individuals who work collaboratively on the Internet, developing major software projects that sometimes rival commercial software but are always committed to the production of quality alternatives to those produced by commercial companies (Raymond, 2001; Williams, 2002). Groups and individuals develop software to meet their own and others’ needs in a highly decentralised way, likened to a Bazaar (Raymond, 2001). These groups often make substantive value claims to support their projects and foster an ethic of community, collaboration, deliberation, and intellectual freedom. In addition, it is argued by Lessig (1999) that the FLOSS community can offer an inspiration in their commitment to transparency in their products and their ability to open up governmental regulation and control through free/libre and open source code.

A lot misinformation and mystery surrounds the topic of Open Source software. The conceptual misunderstanding of software is fostered, in some respects, by a lack of understanding within the professional ranks of the computer field. There are many different views of Open Source software today, based upon ones perspective. After about 20 years of evolution, the position of Open Source in our economy still has not coalesced. Few seems to understand whether Open Source is free software for running a computer (i.e., Linux) or just a way to obtain some software products without giving Microsoft ones money. “There is one thing stronger than all the armies in the world and that is an idea whose time has come” - Victor Hugo any view Open Source (OS) software as just a free alternative to proprietary software. The term does not mean that there is no cost associated with its procurement, although some vendors do provide free versions. The word “free” usually means the freedom to copy, modify, or distribute the software. One must be very careful when applying this broad, general meaning to Open Source software. There are many different Open Source licenses in use and it is imperative that users acquaint themselves with the legal ramifications of dealing with intellectual property rights. ` Open Source software should be viewed as a viable alternative in many software selection processes. Recently, the news has portrayed the report of India's Kerala state moving to Linux and OpenOffice for its 2,724 high schools. Likewise, OpenOffice is replacing Microsoft Office in many schools districts around the US. With tight school budgets, school superintendents are realizing significant cost savings by using the OpenOffice products for their campuses. Products such as OpenOffice may not be 100% compatible with their current proprietary counterpart, but for many applications, compatibility is not the issue. The price and the software license management of proprietary packages may be overwhelming.

Digital soil mapping for soil texture is mostly an understanding of how soil texture fractions vary in space as influenced by environmental variables mainly derived from the digital elevation model (DEM). In this study, topsoil texture models were generated and evaluated by multiple linear regression (MLR), ordinary kriging (OK), simple kriging (SK) and universal kriging (UK) using free and open-source R, System for Automated Geoscientific Analyses, and QGIS software. Comparing these models is the main objective of the study. The study site covers an area of 124 km2 of the Municipality of Barili, Cebu. A total of 177 soil samples were gathered and analyzed from irregular sample points. DEM derivatives and remote sensing data (Landsat 8) were used as environmental variables. Exploratory analyses revealed no outlier in the data. Skewness and kurtosis values of the untransformed data vary greatly between –3.85 to 7.20 and 1.8 to 70.7, respectively; an indication that variables are highly skewed with heavy tails. Thus, Tukey’s ladder of powers transformation was applied that resulted to normal or nearly normal distribution having skewness values close to zero and kurtosis values have lighter tails. All data analysis from MLR modeling, variography, kriging, and cross-validations of models were implemented using the transformed data. Forward selection, backward elimination, and stepwise selection methods were adapted for predictors selection in MLR. The MLR, OK, SK, and UK were applied and cross validated for topsoil texture prediction. Likewise, exponential, Gaussian, and spherical models were fitted for the experimental variograms. Backward elimination method for clay, sand, and silt have the lowest MAE and highest R2 in MLR. The UK fitted with exponential variogram model has the highest R2 of 0.878, 0.821, and 0.893 for clay, sand, and silt, respectively. These models can be adapted as a decision support for agricultural land use planning and crop suitability development in the area.

The main goal of this document is to help the research community to understand the basic concepts of software distribution: Free software, Open source software, licenses. This document also includes a procedure for research software and data dissemination.

The aim of this article is to present the use of GIS (Geographic Information Systems) as a support tool for cartographical mapping related to the Orienteering Sport, as a contribution for the enhancement of the currently used techniques, which result will be spread between the members of the Quadro de Mapeadores da CBO (Brazilian Federation of Orienteering), which gathers the main cartographers of the sport in Brazil and regulates the main aspects related to the production of maps for Orienteering. Therefore, the Campus of UFMS (Universidade Federal de Mato Grosso do Sul) was mapped, according to the ISSOM 2007 (International Specification for Sprint Orienteering Maps), on the scale of 1:4.000 using orthophotographs with ground sample distance of 10 cm and vectorial files (contour lines with equidistance of 1 metre and urban zoning) of Campo Grande city distributed freely by Prefeitura Municipal de Campo Grande as data source for the base map. The data was processed using the software QGIS (QGIS Development Team 2016), a free and open source Geographical Information System (GIS), and the Original Computer File was developed using OCAD software, an specific program for Orienteering maps, being validated by its utilisation on the final stage of the II Campeonato Sul-Mato-Grossense de Orientação (2nd Orienteering Championship of Mato Grosso do Sul). To ratify, in official ways, the obedience to the international specifications, it was sent to the evaluation of the Quadro de Mapeadores da CBO (the official cartographers group of CBO) and, as a result, it was approved and included in the data base of the confederation, under the register number 232.

Cloud computing is a Service Oriented Architecture which reduced information technology overhead for the end-user and provide great flexibility, reduced total cost of ownership, on-demand services and many other things [1]. Hence it delivered all IT related capability as services rather than product .Services on cloud are divided into three broad categories: Software as a Service, Infrastructure as a Service & Platform as a Service. Same as services cloud is also classified as Private Cloud, Public Cloud & Hybrid Cloud. Private cloud is increasingly become popular between every private organization either large or small wants .To deploy public or private cloud there are many open source software available some are Eucalyptus, Nimbus, OpenStack, Open Nebula Cloud stack and Amazon Web Services .This paper, I provide a study of the main open source software such as Eucalyptus, OpenStack and OpenNebula for cloud implementation. It is believe that the comparison presented in this paper would benefit developers in selecting best open source Software.

The need to ensure food security and promote environmental sustainability has led to a transformative period in agriculture. This period is characterized by the use of novel technology, which provides solutions that effectively address ecological concerns while also ensuring economic viability. Emerging technologies, such as precision farming enabled by drones, sensor-based monitoring systems and genetic editing techniques that result in drought-resistant crops, are significantly changing the agricultural sector. The integration of data analytics and machine learning algorithms is transforming supply chain management and enhancing the capabilities of predictive analytics in the context of crop diseases. Technological interventions serve to optimize efficiency and minimize the adverse ecological effects associated with farming, promoting the goals of sustainable agriculture. However, it is important to carefully address ethical and socio-economic considerations, including accessibility and data privacy, to manage these effects effectively. Therefore, the objective of this study is to examine the contributions of emerging technology to sustainable agriculture, evaluate its constraints, and suggest a comprehensive framework for its ethical and equitable integration. Communication technology has also impacted the agricultural sector, particularly with the increased use of connected devices. Artificial intelligence and deep learning advancements make processing collected data faster and more efficient, leading to more sustainable agricultural production using free, open-source software and sensor technology solutions. This technology enhances land optimization and boosts agricultural productivity, making sustainable farming practices more viable for both large and small-scale farmers. Our bibliometric analysis indicates a notable increase in interest in integrating sustainable agricultural methods with new technologies, particularly since 2018. It also revealed a strong link between precision agriculture, smart farming, machine learning, and the Internet of Things. However, awareness of technology is not very prevalent in the Asian region, especially among small-scale farmers. As a result, excessive usage of agricultural resources and wastage bring many adverse repercussions, and it's a high constraint to sustainable agricultural practices in the region.