Browsing by Subject "Milchviehbetrieb"

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An expert system for planning and designing dairy farms in hot climates
(2008) Samer Mohamed, Mohamed; Jungbluth, Thomas
Planning and designing dairy farm facilities is a sophisticated work where a multitude of procedures should be carried out which requires time and efforts; moreover, making mistakes is also possible. Therefore, it is necessary to develop computer tools that have the ability to pre-process the data so as to produce value-added information, in order to accelerate analyses and to improve decision-making. Eleven simulation models were developed to plan and design several dairy farm facilities. Subsequently, an electronic spark map (decision tree) was developed for each simulation model, and then the simulation models were integrated into the relevant spark maps. Afterwards, C# language (C Sharp), which is an object-oriented programming language, was used to develop an expert system via the simulation models and the electronic spark maps. The developed expert system is able to plan and design several dairy farm facilities, e.g. housing system (corrals system), shade structure and roof material, concrete base, cooling system, milking parlor, forage storage, and manure handling system. Subsequently, it plans the farmstead layout, and it leads to implement the technologies, equipments, and machines required for performing several farm operations. Furthermore, it studies water and electricity requirements of the planned dairy farm and the available sources on site. Moreover, it calculates the capital investment and the fixed, variable, and total costs. Data of 6 dairy farms were used to carry out the expert system validation and evaluation. The differences between the actual and calculated values were determined and the standard deviations were calculated. The coefficients of variation range between 3% and 7%. The required input data are 358 thereof a multitude will be recommended by the expert system itself; consequently, it computes and displays 372 output data with the ability of saving and retrieving data. Besides, the system?s accuracy had been calculated using the actual and calculated values of the different outputs and it was found 98.6%. However, the system?s syntax includes 22106 lines. It can be concluded that the developed expert system can be used successfully for planning and designing dairy cow farms in hot climates.
On the interplay of local versus global environmental and economic performance of Swiss alpine dairy farms
(2017) Repar, Nina; Doluschitz, Reiner
This cumulative dissertation consists of a general introduction (Chapter 1), three scientific papers (Chapters 2, 3 and 4) and a general conclusion (Chapter 5). The first peer-reviewed paper presented in Chapter 2 is of a conceptual nature. Based on a comprehensive and systematic review of the farm-level environmental performance indicators found in scientific literature, it shows that several of these indicators are inconsistently defined and inappropriate for the purpose of farm environmental performance assessment. This is due to the lack of conceptual considerations behind their definition. In the second step, starting from the environmental sustainability concept at macro level, the paper develops conceptual considerations on how to implement this concept at farm level into theoretically sound and consistent indicators of farm environmental performance. Based on the environmental sustainability concept viewed from an ecological perspective and on the associated ecosystem’s carrying capacity (constraint) concept, it distinguishes between the carrying capacity of the global ecosystem and that of the local ecosystem. Relying on this distinction, it proposes to differentiate between the global and local environmental performance of a farm. Whereas farm global environmental performance relates the cradle-to-farm gate (i.e. off- and on-farm) environmental impacts to the biophysical farm output, farm local environmental performance focuses on local on-farm environmental impact generation and relates it to the local on-farm area. The second peer-reviewed paper (Chapter 3) consists in an empirical application of the framework developed in Chapter 2. This application was carried out for a sample of 56 Swiss dairy farms, for which very detailed and comprehensive cradle-to-farm gate life cycle assessments (LCAs) were conducted. Farm global environmental performance was assessed as the farm digestible energy output for humans per unit of cradle-to-farm gate environmental impact. Farm local environmental performance was measured by the on-farm land area per unit of on-farm environmental impact. The paper investigates the relationships within the environmental performance dimension (i.e. between farm global and local environmental performance), and between the environmental and economic performance dimensions. The results showed the complexity of the relationships between farm global and local environmental performance. Trade-offs occurred more frequently than synergies, implying that an improvement in farm global environmental performance regarding one environmental issue will likely lead to a deterioration in farm local environmental performance regarding at least one other issue, and vice versa. These trade-offs highlight the challenging and complex nature of the improvement of the environmental sustainability of farming and provide clear evidence that farm environmental performance cannot and should not be reduced to a single “one size fits all” indicator. Our work furthermore showed the existence of synergies between farm global environmental and economic performance. The third peer-reviewed paper (Chapter 4) relies on the same dataset as used in Chapter 3. It investigates different structural, farm management, socio-demographic, technological and natural-environment-related determinants of the economic and environmental performance of dairying. It aims to identify the factors with the potential to simultaneously improve farm global environmental, local environmental and economic performance. The results revealed the existence of some factors presenting synergies and several factors showing trade-offs in the enhancement of these three dimensions of the sustainable performance of a farm. Organic farming, higher agricultural education level of the farm manager, the production of silage-free milk, and also, however to a weaker extent, full-time farming, larger farm size and a lower intensity of cattle concentrates use were identified as factors that allow global environmental, local environmental and economic performance to be improved simultaneously. More generally, the promotion of farm global environmental performance and farm economic performance was shown to be synergetic whereas the enhancement of farm global and local environmental performance turned out to be mostly antinomic. The core implications and related recommendations derived from the findings of this work are twofold. First, the conceptually correct measurement of farm environmental performance imperatively requires (i) the separate implementation of global and local environmental performance indicators as proposed in the framework and (ii) the consideration of both global and local dimensions to avoid environmental problem shifting from local to global scale and vice versa. This is especially necessary as the empirical application for Swiss alpine dairy farming found several trade-offs between farm global and local environmental performance. This empirical finding has far-reaching implications, especially if it is to be confirmed for other types of farms and other countries. The second core finding of this dissertation relates to the possibilities for improving the environmental and economic sustainability of Swiss alpine dairy farming. This work showed that there are some factors, namely organic farming, higher agricultural education level of the farm manager, the production of silage-free milk, and also, however to a weaker extent, lower intensity of concentrates use, larger farm size and full-time farming, which allow farm global environmental, local environmental and economic performance to be improved simultaneously.
Structural change requirements in the Bulgarian dairy sector aiming at higher competitiveness within the EU
(2008) Vassilev, Zlatan; Doluschitz, Reiner
During the burdensome years of transition the agriculture in Bulgaria plays the role of a social buffer and a sector providing some, although insufficient, income and employment. Although employment in agriculture is a source of income, self consumption of its products can save income that could be spend on something else. The differences between market and self-sufficiency oriented farmers diminish due to income instability, that consequently contribute to agricultural decommercialization. A major characteristic of small-scale subsistent farming is the diversification of production activities that usually lead to diseconomy of scale effects. At the same time small-scale subsistent farms use labour intensive systems of production as a substitution for the scarcity of capital and machinery. Subsistence farming uses resources which could be used elsewhere in market-oriented farming and other sectors and its existence may cause a loss of overall production efficiency. Notwithstanding this loss of efficiency at the aggregate level, subsistence farmers may be efficient with regard to their own utility functions. Consequently, from a conventional economics point of view, small-scale farmers are unlikely to react to government policies in a normal, "rational" way. However, when they dominate the production of some products, predictions based on ?normal? economic models may be unreliable. The scope of the study is to cover the agriculture holdings with dairy cows according to the national statistic and moreover to argue that not all of them can be defined as dairy farms. The general hypothesis of this thesis states that the current typical dairy farm can double its size and increase significantly its income while reducing the risk for the household. On the contrary if it is growing more than a double that would have the opposite effect due to overestimated management capacity and unacceptable size of liabilities. The method used in this thesis is based on the concept of a typical dairy farm through bottomup approach. A typical dairy farm represents a significant number of dairy farms in a region in terms of size, forage and crops grown, livestock systems, labour organization and production technology used, and show an average management / performance ratio. The typical farm is ?built? and ?validated? based on panels (farmers, advisors? knowledge and local experts) and farm accounting statistics. The simulations in this thesis proved that with the currently existing support programs a successful farm restructuring is viable in a short period of time if the farmer possesses the necessary skills, knowledge and information to adopt a strategy to successfully face the changing market conditions. While the suggested structural changes could be successfully implemented in order to provide a significant improvement of the management, the time span available for them is very ?narrow? with respect to the financial support provided by the programs available. The general assumption of the government policy was that the ?Producer Union? (PU) should play a leading role in the process of structural reforms in agriculture. Unfortunately that assumption didn?t justify itself, consequently the provision of high qualified management services (as a major benefit from the membership in the PU) to the farmers is not utilised by them.
Success factors of farm investments : the example of Swiss dairy farms
(2021) Kramer, Benedikt; Doluschitz, Reiner
This scientific analysis aims to identify success factors of farm investments, which are supported by interest free loans. The data basis consists of data from the Farm Accountancy Data Network (FADN) from 2003 through 2014 from Switzerland, which is matched to data from the Meliorations- und Agrarkredit-Projekt-Informations-System (MAPIS), where all supported dairy barn investments in Switzerland are registered. In addition, a Gini coefficient on the level of municipality is added, calculated from agricultural census data (AGIS). One of the main variables analysed is calculated profit. Another important variable, analysed in this work, is herd size. As a first step, the development of calculated profit and herd size change after investment are analysed by two separate fixed-effects panel regression models. The results show, that calculated profit is significantly and positively influenced by the amount of agricultural land of the farm and significantly reduced for the first three years after investment. From the fourth year onwards, no coefficients are significant anymore, which might either be caused by a divergent development of individual farms or by the diminishing number of observations. Herd size change is positive and significantly influenced by the amount of agricultural land. Also the period of quota phasing out affected herd size change positively. Dairy herds probably grew in the year before investment already and kept growing till five years after investment. Both dependent variables indicate that farms undergo an adjustment phase after investment. For the analysis of investment probability, the data sample is extended by including observations of all dairy farms and combined dairy/arable crop farms in the valley and hill region. Observations after investment are excluded. A logit regression model of the pooled data reveals that among the financial variables, only equity and farm income have a small positive and significant effect on investment probability. Social characteristics show a larger effect. The investment probability increases with age, farm household size and the presence of a partner. In order to analyse influencing factors of successful investments, investments that enable the farm to achieve the same or higher calculated profit as before, are considered successful. The year before investment is used as the basis and a Cox Proportional-Hazard-model is used to investigate those influencing factors. The model reveals that for farm having a higher calculated profit before investment, it is more difficult to restore that level after investment. Off-farm income and expenses for purchase of additional animals affect recovery of calculated profit significantly negative. The largest significant negative impact comes with more family labour. The results suggest that family labour which is likely to be freed up by productivity gains, is not reallocated to off-farm income. Additional indicators for land competition on the level of municipality are used. Agricultural income per family working unit is analysed as financial measure. This is a precursor for calculated profit and reflects financial efficiency of the input of family labor. In addition, growth of the dairy herd is analyzed. A random effects model is used for both variables. For dairy herd growth, utilized agricultural area and milk quota abolishment have a positive effect. More subsidized projects within a municipality and a higher concentration of acreage have a negative effect. For agricultural income per family working unit, utilised agricultural area, number of subsidized projects within a municipality, valley region and equity have a positive effect while milk quota abolishment has a negative effect. Off-farm income, which has been used as off-farm income per full-time working unit, showed no statistically significant effect. Neighboring effects appear to be more important for dairy herd growth than for agricultural income. Based on the derived definitions, success factors are identified. An adjustment phase is confirmed, while the productivity of family labour seems to be the most important influencing factor for recovering calculated profits of the pre-investment situation. Structural influences seem most important for herd size growth. With regard to the negative effect of off-farm labour, off-farm labour might be seen as enabling farms with off-farm labour to accept a lower level of labour productivity. In general, the social characteristics of farms seem to have a larger impact on dairy farm investments than financial variables. For investment support, the results imply not only to put emphasis on financial characteristics. In addition, the adjustment phase must be considered with investment plans. With such long lasting investments like dairy barns, strategic decisions by the farmer combined with family characteristics might be more important than financial indicators.